Abstract: An information processing apparatus includes a first obtaining unit configured to obtain a holding position and orientation of a manipulator when holding of a target object is performed and holding success or failure information of the target object in the holding position and orientation, a second obtaining unit configured to obtain an image in which the target object is imaged when the holding of the target object is performed, and a generation unit configured to generate learning data when the holding of the target object by the manipulator is learnt on a basis of the holding position and orientation and the holding success or failure information obtained by the first obtaining unit and the image obtained by the second obtaining unit.

Abstract: In one implementation, a method of generating a depth map is performed by a device including one or more processors, non-transitory memory, and a scene camera. The method includes generating, based on a first image and a second image, a first depth map of the second image. The method includes generating, based on the first depth map of the second image and pixel values of the second image, a second depth map of the second image.

Abstract: Embodiments of this application disclose a target object rendition method performed by an electronic device having a camera and a display screen. The electronic device photographs an entity card by using a camera. From the photograph, the electronic device obtains a to-be-recognized target object that is printed on the entity card and then image interpretation data of the to-be-recognized target object, the image interpretation data being used to reflect a feature of the to-be-recognized target object. After matching the image interpretation data with prestored image interpretation data, the electric device obtains a prestored target object corresponding to prestored image interpretation data matching the image interpretation data. Finally, the electronic device invokes an application (e.g., a computer game) associated with the prestored target object (e.g., a virtual character of the computer game) and renders, using the application, the prestored target object on the display screen.

Abstract: A method and apparatus for segmenting an image are provided. The method may include the steps of clustering pixels from one of a plurality of images into one or more segments, determining one or more unstable segments changing by more than a predetermined threshold from a prior of the plurality of images, determining one or more segments transitioning from an unstable to a stable segment, determining depth for one or more of the one or more segments that have changed by more than the predetermined threshold, determining depth for one or more of the one or more transitioning segments, and combining the determined depth for the one or more unstable segments and the one or more transitioning segments with a predetermined depth of all segments changing less than the predetermined threshold from the prior of the plurality of images.

Abstract: Apparatus and associated methods relate to ranging an object nearby an aircraft by triangulation using two simultaneously-captured images of the object. The two images are simultaneously captured from two distinct vantage points on the aircraft. Because the two images are captured from distinct vantage points, the object can be imaged at different pixel-coordinate locations in the two images. The two images are correlated with one another so as to determine the pixel-coordinate locations corresponding to the object. Range to the object is calculated based on the determined pixel-coordinate locations and the two vantage points from which the two images are captured. Only a subset of each image is used for the correlation. The subset used for correlation includes pixel data from pixels upon which spatially-patterned light that is projected onto the object by a light projector and reflected by the object.

Abstract: A device for extracting depth information according to one embodiment of the present invention comprises: a light outputting unit for outputting IR (InfraRed) light; a light inputting unit for inputting light reflected from an object after outputting from the light outputting unit; a light adjusting unit for adjusting the angle of the light so as to radiate the light into a first area including the object, and then for adjusting the angle of the light so as to radiate the light into a second area; and a controlling unit for estimating the motion of the object by using at least one of the lights between the light inputted to the first area and the light inputted to the second area.

Abstract: A privacy image generation system may use a light field camera that includes an array of cameras or an RGBZ camera(s)) is used to capture images and display images according to a selected privacy mode. The privacy mode may include a blur background mode that can be automatically selected based on the meeting type, participants, location, and device type. A region of interest and/or an object(s) of interest (e.g. one or more persons in a foreground) is determined and the privacy image generation system is configured to clearly show the region/object of interest and obscure or replace the background by combining multiple images. The displayed image includes the region/object(s) of interest clearly shown (e.g. in focus) and any objects in a background of the combined image shown having a limited depth of field (e.g. blurry/not in focus) and/or blurred due to the combination of the multiple images.

Abstract: A service system includes a mobile terminal and an information processing device capable of communication via a network. The mobile terminal includes a first transmission unit that transmits spherical images taken in respective imaging locations and positional information about the imaging locations to the information processing device. The information processing device includes a reception unit that receives the spherical images transmitted by the first transmission unit; a map data obtaining unit that obtains map data from a map data storage, the map data including the imaging locations of the spherical images; a path information creation unit that creates information about a path made by connecting the imaging locations in the map data obtained by the map data obtaining unit; and a content providing unit that makes content available for a request through the network, the content including the map data, the information about the path, and the spherical images.

Abstract: Embodiments include devices and methods operating a robotic vehicle. A robotic vehicle processor may detect an object posing an imminent risk of collision with the robotic vehicle. The robotic vehicle processor may determine a classification of the detected object. The robotic vehicle processor may manage a rotation of a rotor of the robotic vehicle prior to a collision based on the classification of the object.

Abstract: Microscopy method and apparatus for determining the positions of emitter objects in a three-dimensional space that comprises focusing scattered light or fluorescent light emitted by an emitter object, separating the focused beam in a first and a second optical beam, directing the first and the second optical beam through a varifocal lens having an optical axis such that the first optical beam impinges on the lens along the optical axis and the second beam impinges decentralized with respect to the optical axis of the varifocal lens, simultaneously capturing a first image created by the first optical beam and a second image created by the second optical beam, and determining the relative displacement of the position of the object in the first and in the second image, wherein the relative displacement contains the information of the axial position of the object along a perpendicular direction to the image plane.

Abstract: A method for correcting an image of a multi-camera system by using a multi-sphere correction device is disclosed. According to the present invention, the method for correcting an image of a multi-camera system by using a correction unit and a multi-sphere correction device having two or more spheres, which are vertically arranged on a support at certain intervals, comprises: (a) a correction variable acquisition step of determining, by the correction unit, a correction variable value for a geometric error of each camera by using the multi-sphere correction device; and (b) an image correction step of correcting an image obtained by photographing an actual subject by using the correction variable acquired in step (a), and outputting the corrected image, thereby enabling a more accurate image to be captured since a geometric error of each camera is corrected.

Abstract: Reflected light from the measurement object is received by a plurality of pixel columns arranged in an X2 direction in a light receiving unit 121, and a plurality of light receiving amount distributions is output. One or a plurality of peak candidate positions of light receiving amounts in a Z2 direction is detected by a peak detection unit 1 for each pixel column based on the plurality of light receiving amount distributions. A peak position to be adopted to a profile is selected from the peak candidate positions detected for each pixel column based on a relative positional relationship with a peak position of another pixel column adjacent to the pixel column, and profile data indicating the profile is generated by the profile generation unit 3 based on the selected peak position.

Abstract: There is provided a method and a system for authorizing a user device to send a request to a vehicle in order to prevent a physical layer relay attack. The system comprises a vehicle comprising an acoustic transducer and an RF transceiver and a user device comprising an acoustic transducer and an RF transceiver. The method relates to a signaling scheme using a combination of acoustic and RF signals for preventing a successful physical layer relay attack.

Abstract: An apparatus for distance measurement includes: a memory; and a processor coupled to the memory and configured to execute a detection process that includes detecting a measurement target in a measurement range through two-dimensional scanning of a scan angle range with laser light, and execute a changing process that includes changing a width of the scan angle range with the laser light so that sampling density has a certain value or higher based on a distance and a bearing angle from the apparatus to the measurement target.

Abstract: A method for determining a distance to a target object includes transmitting light pulses to illuminate the target object and sensing, in a first region of a light-sensitive pixel array, light provided from an optical feedback device that receives a portion of the transmitted light pulses. The feedback optical device includes a preset reference depth. The method includes calibrating time-of-flight (TOF) depth measurement reference information based on the sensed light in the first region of the pixel array. The method further includes sensing, in a second region of the light-sensitive pixel array, light reflected from the target object from the transmitted light pulses. The distance of the target object is determined based on the sensed reflected light and the calibrated TOF measurement reference information.

Abstract: Methods, systems, and apparatus for receiving a reference to an object located in an environment of a robot, accessing mapping data that indicates, for each of a plurality of object instances, respective probabilities of the object instance being located at one or more locations in the environment, wherein the respective probabilities are based at least on an amount of time that has passed since a prior observation of the object instance was made, identifying one or more particular object instances that correspond to the referenced object, determining, based at least on the mapping data, the respective probabilities of the one or more particular object instances being located at the one or more locations in the environment, selecting, based at least on the respective probabilities, a particular location in the environment where the referenced object is most likely located, and directing the robot to navigate to the particular location.

Abstract: In a trolley-wire display device, a display reference point of point-group data is set for each point on a trolley wire having a height and a displacement measured based on a reference obtained from rails. First and second points on a track center line are used to calculate a first distance, and a third distance based on the first distance and a second distance. The first point corresponds to the display reference point. The second point corresponds to each point on the trolley wire. The first distance is a distance from the first point to each second point. The second distance is a distance from a positional start point to the first point. The third distance is a distance from the start point to each second point, and is used to create display data for displaying a height and a displacement of each point on the trolley wire.

Abstract: A system having one or more devices connected to a network which redirects data from one or more physical sensors to a network interface, with one or more processors, having an endpoint service executing to receive data collected by the sensor to be sent to the control service, a first virtualized endpoint service associated with the endpoint device executing on the one or more processors including a virtual sensor associated with the first physical sensor causing the element to perform a task that results in a change in the device or device's sensor or the environment surrounding the device, and a first virtual interactive element controller associated with a first interactive element, and a first virtualized endpoint engine, a virtualized endpoint service executing to receive, over the network by the first virtual sensor, first redirected data collected by the physical sensor.

Abstract: To provide a three-dimensional coordinate measuring device capable of measuring coordinates over a wide, range with high accuracy and high reliability. A reference stand 10 is provided on an installation surface. A reference camera 110 is fixed to the reference stand 10. A movable camera 120 and a reference member 190 having plurality of markers are rotatably supported on the reference stand 10. The reference camera 110, the movable camera 120, and the reference member 190 are accommodated in a casing 90. The movable camera 120 captures a probe that makes contact with a measurement target and the reference camera 110 captures the plurality of markers of the reference member 190. The coordinates of a point at which the probe makes contact with the measurement target are calculated based on the image data obtained by the capturing.

Abstract: A method of recognizing changes in a detection zone is provided in which three-dimensional image data of the detection zone are detected and evaluated to recognize changes with reference to three-dimensional reference image data. The detection zone is divided into cells in this process. Reference limit values at which heights objects are recognized are determined in a teaching phase. In an operating phase, a maximum value and/or a minimal value of the heights of currently recognized objects is/are determined from the respective detected image data and a change is recognized on a deviation with respect to the reference limit values.

Abstract: To provide an image analysis apparatus capable of easily extracting an edge of an upper layer pattern formed intersecting with a lower layer pattern so as not to be affected by the lower layer pattern, the image analysis apparatus includes a calculation unit that calculates an analysis range including a region where the lower layer pattern intersects with the upper layer pattern and a region where the lower pattern is not formed, a calculation unit that averages a plurality of signal profiles, a calculation unit that calculates a maximum value and a minimum value of a signal intensity, a calculation unit that calculates a threshold level difference using the maximum value and the minimum value, and a calculation unit that calculates the edge of the upper layer pattern on the signal profile.

Abstract: To easily process model information or information from which the model information is generated, provided is an imaging device including: an imager that images an object from a predetermined viewpoint; a distance measurer that measures distances from the predetermined viewpoint to points on the object; an object data generator that uses an image taken by the imager and measurement results of the distance measurer to generate object data in which unit data including pairs each having a pixel value in the taken image and a distance from a point on the object corresponding to the pixel value to the predetermined viewpoint is arranged in a first arrangement order; and a point cloud data generator that calculates positional information on points on the object based on the object data and arranges point data including the positional information in the first arrangement order to generate point cloud data.

Abstract: Techniques are provided for calculating temporally coherent disparity values for pixels in a sequence of image frames. An example method may include calculating initial spatial disparity costs between a pixel of a first image frame from a reference camera and pixels from an image frame from a secondary camera. The method may also include estimating a motion vector for the pixel of the first reference camera image frame to a corresponding pixel from a second reference camera image frame. The method may further include calculating a confidence value for the estimated motion vector based on a measure of similarity between the colors of the pixels of the first and second image frames from the reference camera. The method may further include calculating temporally coherent disparity costs based on the initial spatial disparity costs weighted by the confidence value and selecting a disparity value based on those costs.

Abstract: An alignment method based on pixel color and an alignment system for using the same is disclosed. The method includes: Step S1: retrieving a photoresistance eigenvalue of each subcolor resist illuminated by a light source and setting a pixel threshold according to the photoresistance eigenvalue; Step S2: performing a binarization process on a pixel according to the pixel threshold to obtain a binary pixel; and Step S3: calculating an alignment position according to the binary pixel and aligning the color resist according to the alignment position. The present invention avoids the distribution of metal traces and patterns of a color filter on array (COA) product, improves the stability of measuring the COA product, aligns pixel with different shapes, and edits the computing logic for measured positions. When the shape of the pixel is irregular, the reasonable logic is selected to define the measured positions.

Abstract: A photoacoustic apparatus is used which includes: a receiving element receiving acoustic wave from an object; a processor generating image data inside of the object; a changer changing irradiation positions of light on the object; and a wide-area image acquirer of the object, wherein the processor generates, for the irradiation positions, a local-area image of the object corresponding to the irradiation position, and based on a comparison between a plurality of local-area images obtained for the irradiation positions and a comparison between the plurality of local-area images and the wide-area image, integrates the plurality of local-area images.

Abstract: Disclosed are systems, methods, and computer-readable storage media to control a vehicle. In one aspect, a method includes capturing point-cloud data representative of a surrounding of an autonomous vehicle with one or more LIDAR sensors, identifying a point in the point cloud data as a non-matching point in response to the point having no corresponding point in a map used to determine a position of the autonomous vehicle, determining whether the non-matching point is to be used in a determination of an overlap score based on one or more comparisons of the point cloud data and the map, determining the overlap score in response to the determining whether the non-matching point is to be used in the determination of the overlap score, determining a position of the autonomous vehicle based on the overlap score and the map, and controlling the autonomous vehicle based on the position.

Abstract: Systems and/or methods for, for a given pixel (or sub-pixel location) in an image acquired by the camera, finding which projector pixel (or more particularly, which projector column) primarily projected the light that was reflected from the object being scanned back to this camera position (e.g. what projector coordinates or projector column coordinate correspond(s) to these camera coordinates).

Abstract: A three-dimensional (3D) coordinate measurement device combines tracker and scanner functionality. The tracker function is configured to send light to a retroreflector and determine distance to the retroreflector based on the reflected light. The tracker is also configured to track the retroreflector as it moves, and to determine 3D coordinates of the retroreflector. The scanner is configured to send a beam of light to a point on an object surface and to determine 3D coordinate of the point. In addition, the scanner is configured to adjustably focus the beam of light.

Abstract: An image processing system detects changes in objects, such as damage to automobiles, by comparing a base object model, which depicts the object in an expected condition, to one or more target images of the object in the changed condition. The image processing system first processes a target object image to detect one or more predefined landmarks in the target object image and corrects for camera and positional distortions by determining a camera model for the target object image based on the detected landmarks.

Abstract: An information processing apparatus includes at least one processor causing the information processing apparatus to act as a first obtainment unit configured to execute processing for obtaining a first feature amount for each of a plurality of frames, a specification unit configured to specify a priority order of frames for obtaining a second feature amount different from the first feature amount based on the first feature amount obtained by the first obtainment unit, a second obtainment unit configured to execute processing for obtaining the second feature amount from a frame in accordance with the priority order, and a selection unit configured to select, based on the second feature amount obtained by the second obtainment unit, an image processing target frame. The number of frames from which the second feature amount is obtained is fewer than the number of the plurality of frames from which the first feature amount is obtained.

Abstract: A distance measuring apparatus measures a distance to a target based on reflected light in response to launched laser beam. A distance measuring process includes generating a difference binary image from first and second range images that are respectively generated in states without and with the target in front of a background and represent distances to each of range measurement points, extracting a first region greater than a first threshold from a non-background region of the difference binary image made up of non-background points, grouping adjacent points on the second range image into groups of adjacent points having close distance values, for each point within the first region, to extract second regions corresponding to the groups, and extracting a third region smaller than a second threshold from the second regions, to judge that each point within the third region is edge noise.

Abstract: In some implementations, a system may include a camera, a display, one or more memories, and one or more processors communicatively coupled to the one or more memories. The system may identify a horizontal plane in an image being captured by the camera and presented on the display, may determine a size of the horizontal plane, and may determine that the size of the horizontal plane satisfies a threshold. The system may designate the horizontal plane as a ground plane based on determining that the size of the horizontal plane satisfies the threshold. The system may output an indication that the horizontal plane has been designated as the ground plane.

Abstract: The present application provides an eyeglass positioning method. The method includes: acquiring a real-time image shot by a shooting apparatus, and extracting a real-time face image from the real-time image using a face recognition algorithm; recognizing whether the real-time face image includes eyeglasses using a predetermined first classifier, and outputting a recognition result; and positioning the eyeglasses in the real-time face image using a predetermined second classifier and outputting a positioning result when the recognition result is that the real-time face image includes the eyeglasses. The present application also provides an electronic apparatus and a computer readable storage medium. The present application adopts two classifiers to detect images in eyeglass regions in the face images, thereby enhancing precision and accuracy of eyeglass detection.

Abstract: The purpose of the present invention is to provide an object detection device conducive to carrying out control in an appropriate manner according to the surrounding environment, with consideration to the accuracy of locations of detected objects. The device is characterized by being provided with: a parallax information generation unit for generating parallax information from a plurality of parallax images acquired from a plurality of imaging units; an object detection unit for detecting objects contained in the parallax images; a location information generation unit for generating location information about the objects, on the basis of the parallax information; and a location accuracy information generation unit for generating location accuracy information pertaining to the accuracy of the location information, on the basis of the condition of generation of the parallax information.

Abstract: A method of optical flow estimation is provided that includes identifying a candidate matching pixel in a reference image for a pixel in a query image, determining a scaled binary pixel descriptor for the pixel based on binary census transforms of neighborhood pixels corresponding to scaling ratios in a set of scaling ratios, determining a scaled binary pixel descriptor for the candidate matching pixel based on binary census transforms of neighborhood pixels corresponding to scaling ratios in the set of scaling ratios, and determining a matching cost of the candidate matching pixel based on the scaled binary pixel descriptors.

Abstract: An electronic device is provided. The electronic device includes a housing, a first image sensor configured to provide a first angle of view, a second image sensor configured to provide a second angle of view, and a processor. The processor is configured to obtain a first image having first resolution for a plurality of objects outside the electronic device, the plurality of objects corresponding to the first angle of view, to obtain a second image having second resolution for some objects corresponding to the second angle of view among the plurality of objects, to crop a third image having the second resolution, corresponding to at least part of the some objects, from the second image based on at least a depth-map using the first image and the second image, and to compose the third image with a region corresponding to the at least part of the some objects in the first image.

Abstract: The present invention provides an object position determination circuit including a receiving circuit, a detecting circuit and a calculating circuit. In the operations of the object position determination circuit, the receiving circuit is configured to receive an Nth frame and an (N+M)th frame of an image signal, where N is a positive integer, and M is a positive integer greater than one; the detecting circuit is configured to detect positions of an object in the Nth frame and the (N+M)th frame; and the calculating circuit is configured to generate a position of the object in an (N+M+A)th frame according to the positions of the object in the Nth frame and the (N+M)th frame, wherein A is a positive integer.

Abstract: Methods, apparatuses and systems may provide for conducting a quality assessment of a depth localization mode, a color localization mode and an inertia localization mode, and selecting one of the depth localization mode, the color localization mode or the inertia localization mode as an active localization mode based on the quality assessment. Additionally, a pose of a camera may be determined relative to a three-dimensional (3D) environment in accordance with the active localization mode.

Abstract: Embodiments of a Z-dimension user-feedback biometric system are provided. In some embodiments, a camera captures subject images positioned along a plurality of Z-dimension positions, including a normal subject image for a mid-range of a capture volume and one or both of the following: (a) a close subject image for a front of the capture volume and (b) a far subject image for a back of the capture volume. In some embodiments, a processing element can be configured to create a normal display image, as well as a close display image (with a first exaggerated quality) and/or a far display image (with a second exaggerated quality). In some embodiments, the first exaggerated quality can be a positive exaggeration of a quality and the second exaggerated quality can be a negative exaggeration of the quality.

Abstract: An aerial vehicle may be outfitted with two or more digital cameras that are mounted to a track, a rail or another system for accommodating relative motion between the cameras. A baseline distance between the cameras may be established by repositioning one or more of the cameras. Images captured by the cameras may be processed to recognize one or more objects therein, and to determine ranges to such objects by stereo triangulation techniques. The baseline distances may be varied by moving one or more of the cameras, and ranges to objects may be determined using images captured by the cameras at each of the baseline distances.

Abstract: A distance measuring device coupled to a camera and a rotator for driving the camera to rotate. The camera includes a photo sensor and a lens. The distance measuring device includes a distance obtaining module, an angle obtaining module, and a computing module coupled to the distance obtaining module and the angle obtaining module. The distance obtaining module is configured to obtain an unaligned target image of a target captured by the camera. A projection of the unaligned target image on a reference plane does not overlap with a projection of a center point of the photo sensor on the reference plane. The reference plane is perpendicular to a rotation axis of the camera. The distance obtaining module is further configured to calculate a projection distance between the projection of the unaligned target image and the projection of the center point.

Abstract: The stereo camera apparatus includes a stereo camera and a first controller configured to detect a target object to be detected based on at least one first region among a plurality of regions located at different positions in a predetermined direction in an image captured by the stereo camera, generate interpolation pixels by performing pixel interpolation based on at least original pixels that constitute an image of the detected object and detect distance from a reference position to a position of the detected object based on at least the interpolation pixels. As a result, a stereo camera apparatus capable of detecting an object located far away from a vehicle with a high accuracy while suppressing the processing load and a vehicle can be provided.

Abstract: A system and method for determining car to lane distance is provided. In one aspect, the system includes a camera configured to generate an image, a processor, and a computer-readable memory. The processor is configured to receive the image from the camera, generate a wheel segmentation map representative of one or more wheels detected in the image, and generate a lane segmentation map representative of one or more lanes detected in the image. For at least one of the wheels in the wheel segmentation map, the processor is also configured to determine a distance between the wheel and at least one nearby lane in the lane segmentation map. The processor is further configured to determine a distance between a vehicle in the image and the lane based on the distance between the wheel and the lane.

Abstract: An extraction unit extracts, as a candidate pixel of a disturbance object, a predetermined number of pixels in order of smaller distance from each distance image acquired by a distance measurement sensor, the predetermined number being one or more. A calculation unit calculates a feature value indicating a characteristic of temporal change between each candidate pixel in a distance image of a current frame and a corresponding candidate pixel in a distance image of a past frame. A removal unit specifies, as a pixel indicating a disturbance object, a candidate pixel the feature value of which calculated by the calculation unit is larger than a predetermined reference feature value, and removes the specified pixel from the distance image of the current frame.

Abstract: An image processing apparatus obtains, for each of a plurality of subjects, a data set including first shape data which indicates a shape of a subject measured in association with the subject in a first state, and second shape data which indicates a shape of the subject measured in association with the subject in a second state, obtains basis data required to express a deformation from the first state to the second state, based on the data sets for the plurality of subjects, and estimates, based on the generated basis data and data indicating a shape of a target subject measured in association with the target subject in the first state, a deformation from the first state to the second state in association with the target subject.

Abstract: The systems and methods disclosed herein provide determination of an orientation of a feature towards a reference target. As a non-limiting example, a system consistent with the present disclosure may include a processor, a memory, and a single camera affixed to the ceiling of a room occupied by a person. The system may analyze images from the camera to identify any objects in the room and their locations. Once the system has identified an object and its location, the system may prompt the person to look directly at the object. The camera may then record an image of the user looking at the object. The processor may analyze the image to determine the location of the user's head and, combined with the known location of the object and the known location of the camera, determine the direction that the user is facing. This direction may be treated as a reference value, or “ground truth.” The captured image may be associated with the direction, and the combination may be used as training input into an application.

Abstract: A structured light depth sensor for sensing a depth of an object, comprises: a projector for projecting structured lights with different codes to the object; a camera located on one side of the projector and configured for capturing the structured lights reflected by the object; a storage device for storing parameter information of the camera and distance information between the projector and the camera; and a processor electrically connected to the projector, the camera, and the storage device. The processor controls the projector to sequentially project the structured lights with different codes to the object, controls the camera to sequentially capture the structured lights reflected by the object, and calculates the depth of the object. A sensing method adapted for the structured light depth sensor is also provided.

Abstract: A system and method of inspection may include capturing image data by a stereo imaging device. A determination as to whether noise indicative of a transparent or specular object exists in the image data may be made. A report that a transparent or specular object was captured in the image data may be made.

Abstract: A three-dimensional (3D) geometry measurement apparatus includes a projection part, a capturing part that generates a captured image of an object to be measured to which a projection image is projected, an analyzing part that obtains correspondences between projection pixel positions that are pixel positions of the projection image and captured pixel positions that are pixel positions of the captured image, a line identification part that identifies a first epipolar line of the capturing part corresponding to the captured pixel positions or a second epipolar line of the projection part corresponding to the projection pixel positions, a defective pixel detection part that detects defective pixels based on a positional relationship between the projection pixel positions and the first epipolar line or a positional relationship between the projection pixel positions and the second epipolar line, and a geometry identification part.

Abstract: A method for estimating distance of an object from a moving vehicle is provided. The method includes detecting, by a camera module in one or more image frames, an object on a road on which the vehicle is moving. The method includes electronically determining a pair of lane markings associated with the road. The method further includes electronically determining a lane width between the pair of the lane markings in an image coordinate of the one or more image frames. The lane width is determined at a location of the object on the road. The method includes electronically determininga real world distance of the object from the vehicle based at least on number of pixels corresponding to the lane width in the image coordinate, a pre-defined lane width associated with the road and at least one camera parameter of the camera module.