Abstract: A gap and height difference measurement module may include a mounting frame with a flange mounted on a first end thereof and a connecting frame mounted on a second end of the mounting frame, first and second housings mounted on both sides of the connecting frame respectively, a first light source mounted on a lower end of the first housing and emitting light onto the panels, a second light source mounted on a lower end of the second housing and emitting light onto the panels, first and second sensors respectively mounted on front ends of the first and second housings, and first and second filters that are respectively mounted to the first and second sensors so as to allow the first and second sensors to each extract straight-line elements from cross sections formed as the lights emitted from the first and second light are irradiated onto the panels.

Abstract: Navigation information may be provided. First, a destination location may be received at a portable device. Next, a current location of the portable device maybe detected. Then, at least one way-point may be calculated based on the current location and the destination location. An orientation and a level of the portable device may be determined and the at least one way-point may then be projected from the portable device.

Abstract: A vehicle periphery monitoring apparatus displays a mobile object on a display unit, encircled by a detection frame, which notifies the driver of the vehicle concerning the presence of the mobile object. A mobile object detector judges a travel path of the mobile object, and a display processor changes an area within which the detection frame is not displayed, depending on the direction in which the judged travel path extends. The detection frame is displayed only when necessary, so as to indicate the presence of the mobile object to the driver using the detection frame.

Abstract: A method for a six degree of freedom position and orientation determination of a known shape in a scenery is disclosed. The method includes taking a range image with a range imaging camera and a visual picture with a digital camera. The range imaging camera includes a sensor array with a first number of pixels. Determining a 3D cluster of points from range information collected from the sensor array to a point of the scenery. The digital camera comprises an image sensor having a second number of pixels, resulting in a 2D picture. A stored 3D digital representation of the known shape may be fitted in a virtual space to match the reproduction of the known object in the 2D picture and the 3D cluster of points and determining the six degree of freedom position and orientation of the known shape according to the virtual match.

Abstract: The method, system and computer program product generate online interactive maps linking tracked objects (in a live or pre-recorded video sequence) to multimedia content in real time. Specifically, an object tracking and link generation (OTLG) utility allows a user to access multimedia content by clicking on moving (or still) objects within the frames of a video (or image) sequence. The OTLG utility identifies and stores a clear image(s) of an object or of multiple objects to be tracked and initiates a mechanism to track the identified objects over a sequence of video or image frames. The OTLG utility utilizes the results of the tracking mechanism to generate, for each video frame, an interactive map frame with interactive links placed in the map frame at a location corresponding to the object's tracked location in each video frame.

Abstract: A method and apparatus for encoding an image is provided. An image coding unit, including a region that deviates from a boundary of a current picture, is divided to obtain a coding unit having a smaller size than the size of the image coding unit, and encoding is performed only in a region that does not deviate from the boundary of the current picture. A method and apparatus for decoding an image encoded by the method and apparatus for encoding an image is also provided.

Abstract: A method and apparatus for encoding an image is provided. An image coding unit, including a region that deviates from a boundary of a current picture, is divided to obtain a coding unit having a smaller size than the size of the image coding unit, and encoding is performed only in a region that does not deviate from the boundary of the current picture. A method and apparatus for decoding an image encoded by the method and apparatus for encoding an image is also provided.

Abstract: A method and apparatus for encoding an image is provided. An image coding unit, including a region that deviates from a boundary of a current picture, is divided to obtain a coding unit having a smaller size than the size of the image coding unit, and encoding is performed only in a region that does not deviate from the boundary of the current picture. A method and apparatus for decoding an image encoded by the method and apparatus for encoding an image is also provided.

Abstract: The invention discloses a camera device that contains an image capture module for capturing image data including a user; an information processing module for obtaining human face image data from the image data, and obtaining a distance information between a human face corresponding to the human face image data and the camera device according to the human face image data; a decision module for determining whether the distance corresponding to said distance information is less than a predetermined value, and generating a prompt information while the distance corresponding to said distance information is less than a predetermined value; and a prompt output module for outputting said prompt information based on said distance information, said prompt information is configured to give a prompt to said user. The invention also discloses an information prompt method.

Abstract: There is provided an endoscope apparatus capable of stably and precisely measuring a distance to an object by suppressing variations in measured values of the distance to the object depending on the presence or absence of pigment dispersion or the like and capable of enabling observations based on clear and high quality images. The endoscope apparatus includes an optical system that condenses light from an object and simultaneously forms two optical images having the same characteristics with difference only in focal point; an imaging element that captures the two optical images formed by the optical system and acquires two images; and a calculation unit that obtains distance information corresponding to a distance to the object based on a contrast ratio of the two images in a range in which the two images acquired by the imaging element have a common contrast.

Abstract: Data or electrooptic sensor (EOS) images are made of a star field and at least one, and possibly multiple, Earth satellites associated therewith. Calculations performed on the imaged locations of a satellite and two stars of a star field provide all the information needed to identify the observer's position. When the ephemerides of the satellite(s) are less accurately known, calculations performed on the imaged locations of at least two satellites and four stars of a star field provide all the information needed to identify the observer's position, because the along-track and cross-track ephemerides errors are different. Thus, the cross-track information of multiple satellites is preferentially used to determine the geolocation.

Abstract: Methods, apparatus, and articles of manufacture to monitor environments are disclosed. An example method includes analyzing a first depth value corresponding to a coordinate of an object of an image captured by a depth sensor, the first depth value having been captured with the depth sensor positioned at a first angle relative to a reference axis; moving the depth sensor to a second angle relative to the reference axis, the second angle being different than the first angle; triggering capture of a second depth value at the coordinate with the depth sensor positioned at the second angle; and calculating a depth gradient for the coordinate based on the first and second depth values.

Abstract: First information is about respective depths of pixel coordinates within an image. Second information is about respective depths of the pixel coordinates within a ground plane. In response to comparing the first information against the second information, respective markings are generated to identify whether any one or more of the pixel coordinates within the image has significant protrusion from the ground plane. In response to a particular depth of a representative pixel coordinate within the image, a window of pixel coordinates is identified that is formed by different pixel coordinates and the representative pixel coordinate. In response to the respective markings, respective probabilities are computed for the pixel coordinates, so that the respective probability for the representative pixel coordinate is computed in response to the respective markings of all pixel coordinates within the window. In response to the respective probabilities, at least one object is detected within the image.

Abstract: A computing system generates a depth map from at least one image, detects objects in the depth map, and identifies anomalies in the objects from the depth map. Another computing system identifies at least one anomaly in an object in a depth map, and uses the anomaly to identify future occurrences of the object. A system includes a three dimensional (3D) imaging system to generate a depth map from at least one image, an object detector to detect objects within the depth map, and an anomaly detector to detect anomalies in the detected objects, wherein the anomalies are logical gaps and/or logical protrusions in the depth map.

Abstract: A method for processing data includes receiving a depth map of a scene containing a humanoid form. The depth map is processed so as to identify three-dimensional (3D) connected components in the scene, each connected component including a set of the pixels that are mutually adjacent and have mutually-adjacent depth values. Separate, first and second connected components are identified as both belonging to the humanoid form, and a representation of the humanoid form is generated including both of the first and second connected components.

Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may also be removed to isolate one or more voxels associated with a foreground object such as a human target. A location or position of one or more extremities of the isolated human target may be determined and a model may be adjusted based on the location or position of the one or more extremities.

Abstract: An image reconstruction system method for forming an image of media using data acquired from an ultrasound transducer, the method including the steps of detecting relative motion between locations in the media and the transducer; determining relative media velocity from the detecting relative motion; setting a reconstruction period for an image point based on the determined velocity; determining the amount of acquired data to use during the reconstruction period based on the reconstruction period; and using the determined amount of acquired data to reconstruct the image point for display. The system includes a data acquisition system, a processor configured to process the data, and an image display device for displaying the image.

Abstract: Various embodiments are disclosed for generating depth maps. One embodiment is a method implemented in an image processing device. The method comprises retrieving, by the image processing device, a (2D) image; and determining, by the image processing device, at least one region within the (2D) image having a high gradient characteristic relative to other regions within the (2D) image. The method further comprises identifying, by the image processing device, an out-of-focus region based on the at least one region having a high gradient characteristic; and deriving, by the image processing device, a color model according to the out-of-focus region. Based on the color model, the image processing device provides a depth map for (2D)-to-stereoscopic conversion.

Abstract: Objects in a range map image are clustered into regions of interest responsive to range as determined from either a separate ranging system or from a top-down transformation of a range map image from a stereo vision system. A relatively-central location of each region of interest is transformed to mono-image geometry, and the corresponding portion of an associated mono-image is searched radially outwards from the relatively-central location along a plurality of radial search paths, along which the associated image pixels are filtered using an Edge-Preserving Smoothing filter in order to find an edge of the associated object along the radial search path. Edge locations for each of the radial search paths are combined in an edge profile vector that provides for discriminating the object.

Abstract: A prepaid card 2 retaining a prepaid code 31 has a marker 3a that is capable of determining a position and attitude relative to an imaging device 15 by being imaged by the imaging device. The prepaid code 31 is information that enables predetermined value or content to be acquired without handing over the prepaid card 2.

Abstract: A method of determining an azimuth and elevation of a point in an image is provided. The method comprises positioning an imaging device at a first position and acquiring a first image. The method also comprises rotating the imaging device and acquiring a second image at the first position. The first image includes the point, and a portion of the first image overlaps a portion of the second image. The method also includes determining correspondences between features in overlapping portions of the images, determining a first transformation between coordinates of the first image and coordinates of the second image based on the correspondences, and determining a second transformation between the coordinates of the second image and a local coordinate frame. The method also includes computing the azimuth and elevation of the point based on the first transformation and the second transformation.

Abstract: A color image and a depth image of a live video are received. Each of the color image and the depth image are processed to identify a foreground, background, and an unknown region band of the live video. The unknown region band may comprise pixels between the foreground and the background. Further processing is performed to segment the pixels of the unknown region band between the foreground and the background. As such, processing is performed on the unknown region band in order to provide an improved user foreground video.

Abstract: A method, computer readable storage device, and apparatus for determining the distance a computing device is located from a user's face. An image of an individual is obtained. A first pupil location and a second pupil location are identified based on the obtained image. A first distance between the identified first and second pupil location is determined. A second distance between the individual and the computing device is determined based on the determined first distance between the identified first and second pupil locations.

Abstract: In an object detecting method according to an embodiment, external reference points are set in external space of a model of an object and an internal reference point is set in internal space of the model. A table is stored in which feature quantities on a local surface of the model are associated with positions of the external reference points and the internal reference point. The feature quantity on the local surface of the model is calculated, and the position of the reference point whose feature quantity is identical to the calculated feature quantity is acquired from the table and is converted into a position in a real space. When the converted position is outside the object, the position is excluded from information for estimation and the position and the attitude of the object are estimated.

Abstract: In an object tracking device, a search region setting unit sets the search region of an object in a frame image at a present point in time, based on an object region in a frame image at a previous point in time, zoom center coordinates in the frame image at the previous point in time, and a ratio between the zoom scaling factor of the frame image at the previous point in time and the zoom scaling factor of the frame image at the present point in time. A normalizing unit normalizes the image of a search region of the object included in the frame image at the present point in time to a fixed size. A matching unit searches the normalized mage of the search region for an object region similar to a template image.

Abstract: Depth values in a scene are measured by projecting sets of patterns on the scene, wherein each set of patterns is structured with different spatial frequency using different encoding functions. Sets of images of the scene is acquired, wherein there is one image for each pattern in each set. Depth values are determining for each pixel at corresponding locations in the sets of images. The depth values of each pixel are analyzed, and the depth value is returned if the depth values at the corresponding locations are similar. Otherwise, the depth value is marked as having an error.

Abstract: An image processing apparatus includes a distance information calculator that calculates distance information corresponding to a distance to an imaging object at each of portions in an image; a feature data calculator that calculates feature data at each portion in the image; a feature data distribution calculator that calculates a distribution of the feature data in each of regions that are classified according to the distance information in the image; a reliability determining unit that determines the reliability of the distribution of the feature data in each of the regions; and a discrimination criterion generator that generates, for each of the regions, a discrimination criterion for discriminating a specific region in the image based on a determination result of the reliability and the distribution of the feature data in each of the regions.

Abstract: A computer-implemented augmented reality method includes obtaining an image acquired by a computing device running an augmented reality application, identifying image characterizing data in the obtained image, the data identifying characteristic points in the image, comparing the image characterizing data with image characterizing data for a plurality of geo-coded images stored by a computer server system, identifying locations of items in the obtained image using the comparison, and providing, for display on the computing device at the identified locations, data for textual or graphical annotations that correspond to each of the items in the obtained image, and formatted to be displayed with the obtained image or a subsequently acquired image.

Abstract: A position measurement method includes an exterior orientation parameter correcting step S11 for correcting exterior orientation parameters calculated in a step S10, based on difference between photographing timing of an image and obtaining timing of a photographing position and/or a photographing posture measured outside, a bundle-adjusting step S12 for simultaneously adjusting a bundle of the exterior orientation parameters of one or more images and three-dimensional coordinates of characteristic points, based on the exterior orientation parameters corrected by the step S11, a three-dimensional coordinate calculating step S13 for calculating three-dimensional coordinates of characteristic points subsequently detected in an area in which the density of the characteristic points is decreased, based on the exterior orientation parameters adjusted bundle thereof, and a repeating step for repeating processing from the steps S10 to S13 until the image becomes a final image.

Abstract: An interpolation method, applied to image pictures, for interpolating at least one pixel into a position to be interpolated in a target image frame is disclosed. The interpolation method includes receiving a plurality of image fields having a corresponding image object, estimating a motion speed of the image object according to a distance between a first pixel position to which the image object located in a first image field of the plurality of image fields and a second pixel position to which the image object located in a second image field of the plurality of image fields, determining the pixel from the plurality of image fields according to the motion speed of the image object, and interpolating the pixel into the position to be interpolated in the target image frame.

Abstract: Systems and methods may provide for projection of a plurality of structured light patterns. In one example, the method may include generating a low-resolution pattern image utilizing a returned image, wherein the low-resolution pattern image is an approximation of an image that would have been generated utilizing a low-resolution pattern and generating a high-resolution pattern image utilizing a preprocessed returned image and a preprocessed low-resolution pattern image, wherein high-resolution pattern image is an approximation of an image that would have been generated utilizing a high-resolution pattern.

Abstract: A system for forming an image on a flexographic media includes a digital front end that provides a screened image; locating transition points from data regions to non-data regions in said screened image; determining a distance between pixels in adjacent data and non-data regions; if the distance is greater than a predetermined distance modify said screened image to remove a shoulder of pixels at the transition point; and an imaging device the screen modified image on the flexographic media.

Abstract: According to one embodiment, a depth signal generating apparatus includes following units. The calculating unit is configured to calculate a statistic value for pixel values for each of predefined areas in the first image, and calculate, for each of predetermined base depth models, a first evaluation value based on the calculated statistic value. The correcting unit is configured to correct, based on a second evaluation value previously derived for the second image and a first degree of similarity indicating a similarity between the predetermined base depth models, the first evaluation value to derive second evaluation values for the predetermined base depth models. The selecting unit is configured to select a base depth model having the highest second evaluation value from the predetermined base depth models. The generating unit is configured to generate a depth signal based on the selected base depth model.

Abstract: An apparatus and method for estimating a three-dimensional face position. The method of estimating the three-dimensional face position includes acquiring two-dimensional image information from a single camera, detecting a face region of a user from the two-dimensional image information, calculating the size of the detected face region, estimating a distance between the single camera and the user's face using the calculated size of the face region, and obtaining positional information of the user's face in a three-dimensional coordinate system using the estimated distance between the single camera and the user's face. Accordingly, it is possible to estimate the distance between the user and the single camera using the size of the face region of the user in the image information acquired by the single camera so as to acquire the three-dimensional position coordinates of the user.

Abstract: Predetermined image processing is performed in accordance with an input operation performed by an input device having image pickup means for taking an image of one or a plurality of imaging targets. Target image data, which is obtained from one target image of the one imaging target or a plurality of target images of the plurality of imaging targets in the image taken by the image pickup means and which indicates a distance between the plurality of target images or a size of the one target image, is sequentially obtained. A display image is enlarged and reduced in accordance with a change in the target image data. Then, the display image processed in such a manner is displayed on a display device.

Abstract: A print format adjustment system includes a receiving module, a visual condition determination module, a print format determination module, and a print control module. The receiving module receives content for printing in a first print format. The visual condition determination module establishes the sharpness of vision of a viewer in front of a display, at a predetermined view distance. The print format determination module determines a second print format based on both the first print format and the visual condition of the viewer. The print control module prints the content in the second print format.

Abstract: When reading calibration chevrons during mark-on-belt (MOB) sensor timing calibration, cyan portions or legs of printed chevrons are detected in order to determine a timing window offset adjustment. Depending on which of the six cyan legs on the left side of the chevrons are detected, a determination can be made regarding whether the window needs to be started earlier or later. If only the first two cyan legs on the left side of the chevron are detected, then the MOB sensor timing window is beginning (and ending) too early and an appropriate adjustment can be made to cause the timing window to initiate later. If only the last two cyan legs on the left side of the chevron are detected, then the MOB sensor timing window is beginning (and ending) too late, and appropriate adjustment can be made to cause the timing window to initiate earlier.

Abstract: A region-setting unit sets, in an image, a region based on one reference point designated by a user in the image or a predetermined region as an extraction region. An edge extraction unit extracts an edge of the subject based on an image of the extraction region. When a plurality of edges are extracted, a display control unit causes a line indicating the plurality of extracted edges to be displayed on a display unit together with the image. An edge selection unit selects a reference edge from among the plurality of extracted edges based on an instruction from the user. A three-dimensional coordinate calculation unit calculates three-dimensional coordinates corresponding to points in the image. A reference line calculation unit calculates a reference line on a space based on the three-dimensional coordinates corresponding to points constituting the reference edge.

Abstract: A position and orientation measurement apparatus for measuring the position and orientation of a target object includes a first search unit which searches a geometric model for a lost model region corresponding to a lost image region in a range image, a determination unit which determines whether or not a point on a geometric model corresponding to a pixel on the range image of the target object falls within the lost model region, a correction unit which corrects combinations of pixels on the range image and corresponding points which are determined to fall within the lost model region, and a calculation unit which calculates the position and orientation of the target object based on the corrected combinations of the pixels on the range image and points on the geometric model.

Abstract: An information processing device according to an embodiment of the present invention includes a detection unit, a calculation unit, a determination unit, and an estimation unit. The detection unit detects each three-dimensional position of a plurality of parts of an instruction object for indicating an image output surface. The calculation unit calculates an intersection point of a direction indicated by the instruction object and the image output surface based on each three-dimensional position of the parts of the instruction object. The determination unit determines whether the intersection point is within a predetermined range on the image output surface. The estimation unit estimates a position indicated by the instruction object on the image output surface based on the determination made by the determination unit.

Abstract: The method for controlling a digital device comprises the steps of acquiring at least one image data, wherein the image data includes a still image or moving picture image; extracting additional information of the acquired image data, wherein the additional information includes position information and time information of a recording device corresponding to actual time and location when the image data are recorded by the recording device; generating path information on a map related to the image data, on the basis of the additional information; and displaying a path of the image data on the map in a form of line on the basis of the generated path information, wherein the step of displaying the path includes dividing the path into one or more sections, and adjusting line thickness of the divided sections in accordance with amount of the image data according to a distance within the divided section.

Abstract: Computing high dynamic range photographs is described for example, to enable high ranges of intensities to be represented in a single image. In various embodiments two or more photographs of the same scene taken at different exposure levels are combined in a way which takes into account intensity or other gradients in the images to form a high dynamic range image. In embodiments geodesic distances (which take into account intensity or other image gradients) are computed and used to form weights for a weighted aggregation of the photographs. In some embodiments a user configurable parameter is operable to control a degree of mixing of the photographs as the high dynamic range image is formed.

Abstract: Techniques for performing accurate and automatic head pose estimation are disclosed. According to one aspect of the techniques, head pose estimation is integrated with a scale-invariant head tracking method along with facial features detected from a located head in images. Thus the head pose estimation works efficiently even when there are large translational movements resulting from the head motion. Various computation techniques are used to optimize the process of estimation so that the head pose estimation can be applied to control one or more objects in a virtual environment and virtual character gaze control.

Abstract: A system and method for the measurement of distances related to an object depicted in an image. One aspect including delivery of supplemental materials for fenestration and for constructing insulating materials for fenestration. A digital image containing a primary object dimension and a reference object dimension in substantially the same plane undergoes digital image processing to provide improved measurement capability. Information regarding a primary object is provided to an automated measurement process, design and manufacturing system to provide customized parts to end users. A digital image is obtained having an observable constraint dimension to which a customized part is to conform wherein the digital image contains a reference object having a reference dimension and a constraint dimension is calculated from the digital image based on a reference dimension. The custom part is designed and manufactured based on the calculated constraint dimension.

Abstract: A method and a system for calculating a time to go value between a vehicle and an intruding object. A first image of the intruding object at a first point of time retrieved. A second image of the intruding object at a second point of time is retrieved. The first image and the second image are filtered so that the first image and the second image become independent of absolute signal energy and so that edges become enhanced. An X fractional pixel position and a Y fractional pixel position are set to zero. The X fractional pixel position denotes a horizontal displacement at sub pixel level and the Y fractional pixel position denotes a vertical displacement at sub pixel level. A scale factor is selected. The second image is scaled with the scale factor and resampled to the X fractional pixel position and the Y fractional pixel position, which results in a resampled scaled image.

Abstract: A mobile terminal includes at least a display unit, a sensing unit, and a controller. The display unit includes a touch screen and displays at least two three-dimensional (3D) menu icons and each of the at least two 3D menu icons includes at least one menu. The display unit further displays a first menu on a first display surface of each of the at least two 3D menu icons, the first menu on each of the at least two 3D menu icons being different. The sensing unit detects an input for controlling at least one of the at least two 3D menu icons. The controller controls the display unit to display a second menu on a second display surface of each of the at least two 3D menu icons in response to the detected input. Each of the at least two 3D menu icons displayed on the display unit includes at least two display surfaces, each of the at least two display surfaces displaying a different menu.

Abstract: Disclosed are a distance measuring apparatus which can measure the distance to an object with high accuracy, a distance measuring method, and a program. The distance measuring apparatus is provided with: a light source which emits light; an image pickup unit, which picks up an image of light which has been emitted from the light source and reflected by means of the object; an image distance data converting unit, which converts image data obtained by the image pickup performed by the image pickup unit into image distance data which indicates the distance to the object; an image pickup condition setting unit, which sets first image pickup conditions on the basis of the image distance data; and an image pickup control unit, which controls the light source and the image pickup unit and have an image of the object picked up under the first image pickup conditions.

Abstract: Techniques for vision-based sensing of structural displacement of an object, are disclosed. An example system includes digital video cameras adapted to generate digital image information corresponding to features of the object, an input to receive the digital image information corresponding to the one or more features, a converter configured to convert the digital image information into templates, and a comparator to compare the templates in sequence and to subtract displacement of stationary reference features.

Abstract: According to an embodiment of the present disclosure, there is provided an information processing device including a data acquisition unit configured to acquire sensor data indicating the direction of gravity exerted on an imaging device configured to image an image in which a physical space is projected, a decision unit configured to decide a relative attitude of a plane in the physical space with respect to the image based on the sensor data, and a conversion unit configured to perform conversion between a three-dimensional position of a given point on the plane and a two-dimensional position in the corresponding image using the attitude decided by the decision unit.

Abstract: A non-contact passive ranging system wherein a first imager on a platform is focused on a first object and a second imager on the platform is also focused on the first object. The optical path from the first object to the first imager is configured to be shorter than the optical path from the object to the second imager. Processing circuitry is responsive to an output of the first imager and an output of the second imager as relative motion is provided between the platform and the first object and is configured to calculate the distance from the platform to the object.