Abstract: Consistent with an aspect of the present disclosure, a method of locating a position of a movable member is provided. The movable member is movable along a path and has a surface with a plurality of markings provided thereon. The method includes sensing an image of a portion of the surface of the movable member, and calculating a position of the movable member based on the image. Further, the method includes determining whether the movable member is at a location corresponding to one of the plurality of markings, and eliminating an error associated with the position when the movable member is at the location corresponding to the one of the plurality of markings.

Abstract: A detecting device for detecting moving target vehicles from a moving host vehicle, comprising a first detector means mounted to the host vehicle and aligned to a stationary target area for generating at least a first output representative of the stationary target area at least at a time T1, a second detector means mounted to the host vehicle and aligned to the stationary target area for generating at least a second output representative of the stationary target area at least at a time T2, and a control system to receive the first and second outputs and to compare the first output at T1 to the second output at T2 to identify any differences between the outputs, whereby a target vehicle moving in the stationary target area may be detected.

Abstract: A method includes receiving a plurality of objects included within a print job. A first object of the plurality of objects and a second object of the plurality of objects are processed to define a first overlapping region between the first and second objects. The first object is modified to remove the first overlapping region, thus generating a modified first object.

Abstract: A method for fusion of image block adjustments for the generation of a ground control network constituting a Metric Information Network (MIN). Utilizing the subject. fusion algorithm it is possible to duplicate the results of an extremely large simultaneous image block adjustment by sequentially performing smaller image block adjustments on small overlapping areas of interest and taking the results to update a metric information network. Note, intermediate results for less than all the imagery provide usable updates to the metric information network. The result of the infusion of sequential image block adjustments into the metric information network is that one can obtain the accuracy provided by an extremely large single image block adjustment, and do so in manageable chunks or segments involving conventional computer resources.

Abstract: A method for measuring a position of an object according to an image of the object captured by a camera unit. The method includes the following steps: calculating a discrepancy of an incident beam of light penetrating a lens system of the camera unit relative to an optical center of the lens system, and compensating the position of the object according to the discrepancy.

Abstract: A minimum area rectangle inscription method and system for automatically generating a minimum area rectangle that inscribes and bounds an approximately rectangular object (or “noisy” object) contained within scanned image data. The minimum area rectangle inscription method chooses an interior point located inside the object boundary and determine perimeter points located on the boundary. A convex hull is constructed from at least some of the perimeter points such that each side of the convex hull is convex. Inscribing rectangles, equal in number to the sides of the convex hull, are constructed such that each inscribing rectangle shares a side with the convex hull and circumscribes approximately the entire convex hull. The area of each of the inscribing rectangles is calculated, and the inscribing rectangle having the least amount of area is designated as the minimum area rectangle.

Abstract: A human eye is tracked between successively produced video image frames by consecutively applied eye location techniques. First, potential eye candidates within a local search window are identified using horizontal projection filtering, coupled with rudimentary appearance-based testing. The identified eye candidates are clustered and subjected to additional appearance-based testing to determine if one or more eye candidates should be accepted. If no eye candidates are accepted, a correlation/appearance technique is applied to the search window to identify the eye. If unsuccessful, the eye may be closed, and peripheral eye-related patches from the previous image frame are extracted and compared with the search window to identify the eye in the current frame. When comparable eye-related patches are identified in the search window for the current frame, the eye center is computed according to the mean of the eye periphery patches.

Abstract: Within a digital acquisition device, acquisition parameters of a digital image are perfected as part of an image capture process using face detection within said captured image to achieve one or more desired image acquisition parameters. Default values are determined of one or more image attributes of at least some portion of the digital image. Values of one or more camera acquisition parameters are determined. Groups of pixels are identified that correspond to an image of a face within the digitally-captured image. Corresponding image attributes to the groups of pixels are determined. One or more default image attribute values are compared with one or more captured image attribute values based upon analysis of the image of the face. Camera acquisition parameters are then adjusted corresponding to adjusting the image attribute values.

Abstract: An information processing device for obtaining placement information regarding an imaging device of markers to be calibrated that are provided upon the imaging device, includes: a first image obtaining unit adapted to obtain a first image photographed with the imaging device; a second image obtaining unit adapted to obtain a second image obtained by photographing the imaging device from a bird's-eye view position; a first detecting unit adapted to detect information relating to image coordinates of reference markers placed in a scene, from the first image; a second detecting unit adapted to detect information relating to image coordinates of markers to be calibrated from the second image; and a calibration information calculating unit adapted to obtain the calibration information using information relating to image coordinates of the reference markers detected by the first detecting unit and the second detecting unit.

Abstract: A method and apparatus for determining camera pose characterized by six degrees of freedom (e.g., for use in computer vision systems) is disclosed. In one embodiment an image captured by the camera is received, and at least two constraints on the potential pose are enforced in accordance with known relations of the image to the camera, such that the potential pose is constrained to two remaining degrees of freedom. At least one potential pose is then determined in accordance with the remaining two degrees of freedom.

Abstract: In a method of 3-D object detection, an image is pre-processed. Using cross-section analysis, a confidence array is built. A plurality of peaks in the confidence array are detected, wherein the peaks signify a likelihood of a 3-D object of interest.

Abstract: A system and method for identifying a shape of an anatomical structure in an input image is disclosed. An input image is received and warped using a set of warping templates resulting in a set of warped images. An integral image is calculated for each warped image. Selected features are extracted based on the integral image. A boosted feature score is calculated for the combined selected features for each warped image. The warped images are ranked based on the boosted feature scores. A predetermined number of warped images are selected that have the largest feature scores. Each selected warped image is associated with its corresponding warping template. The corresponding warping templates are associated with stored shape models. The shape of the input image is identified based on the weighted average of the shapes models.

Abstract: A microscope system and method is described for determining a position of an area of an object within the complete object, wherein the image of the area of the object is contained within a field of view of a microscope. Image data representing a low magnification image of the complete object is available for use in the method, and may be acquired using a low magnification image data source such as a scanner. In a preferred embodiment, the method is implemented in the form of a computer program running on a workstation, which displays, on a display screen the field of view image, and the image of the complete object, in which the position of the area of the object in field of view is highlighted.

Abstract: In accordance with embodiments of the invention, embedded interaction code (EIC) symbols are recognized. EIC dots are generated based on effective EIC symbols, which have been generated by processing an image containing the EIC symbols, by obtaining graylevels of selected positions of the EIC-symbols. Rotated EIC dots are generated based on the EIC dots by determining which grid cells correspond to the EIC symbols and by determining which direction is a correct orientation of the EIC symbols. A homography matrix is updated with orientation information based on the EIC dots. EIC bits are extracted from the rotated EIC dots based on graylevels of selected positions of the rotated EIC dots.

Abstract: A method and apparatus are disclosed for estimating a position of a target of interest using a plurality of position detection sensors wherein for at least one of the sensors, a corresponding time-variant detection probability profile is combined with the detection status received from the sensor and further wherein each of the corresponding detection probability profiles is combined to generate a global detection probability profile, wherein the combining comprises probabilistically adding a first given probability profile in the case where a first given corresponding indication comprises a target detection and probabilistically subtracting a second given probability profile in the case where a corresponding second given indication comprises a target non-detection and wherein the position of the target is estimated using the highest probability region(s) of the generated global detection probability profile.

Abstract: One embodiment of the present invention provides a system that facilitates computer-assisted tagging of objects in a digital image. During operation, the system receives locations for one or more objects-of-interest in the digital image. Next, the system determines likelihoods of specific tags being assigned to the objects-of-interest. The system then automatically assigns tentative tags to the objects-of-interest based on the determined likelihoods. Next, the system displays the assignments of tentative tags to a user, and receives corrections to the assignments, if any, from the user.

Abstract: A method of setting-up machine vision equipment is disclosed. The equipment includes a camera defining a field of view, processing means for determining physical properties of a test object, and first supporting means for supporting a test object at a predetermined distance from the camera within the field of view. The method is characterised by providing second supporting means for supporting a reference object, placing a reference object having at least one known dimension on the second supporting means, moving one or more of the cameras, the first supporting means and the second supporting means to bring the reference object within the field of view at the predetermined distance from the camera, imaging the reference object to obtain an image, and processing the image to determine the optimum configuration of the imaging means, and adjusting the imaging means configuration to the optimum configuration.

Abstract: A terrain mapping system is disclosed. The system has at least one sensor configured to gather a plurality of current points defining a current surface of a site and a database containing a plurality of previously-gathered points defining a previous surface of the site. The system also has a controller in communication with the at least one sensor. The controller is configured to compare a height of at least one of the plurality of the current points to a height of a corresponding at least one of the plurality of previously-gathered points and to determine if an update to the database is warranted based on the comparison. The controller is further configured to update the database if it is determined that an update is warranted.

Abstract: A method models a scene. A video is acquired of the scene, and for each frame of the video, the method updates a set of background models for each pixel; a set of shadow models for each pixel; a set of shadow flow vectors for each color; and a background shadow map. Each pixel in each background model and each shadow model is represented by multiple layers. Each layer includes Gaussian distributions and each Gaussian distribution includes a mean and a covariance. The covariance is an inverse Wishart distribution and the updating is according to a recursive Bayesian estimation process.

Abstract: Image binarization methods and devices for converting a grayscale image into a black and white binary image are provided. The grayscale image is divided into sub-images dynamically created from pixel to pixel containing a given pixel as well as neighboring pixels. The color value of the pixels in the sub-image is averaged and the threshold between the given pixel and the average color value is determined. Therefore, at a certain color value, this given pixel is converted to white and at another color value the pixel is converted black. The foregoing is effectuated pixel by pixel in a dynamic fashion evaluating each pixel relative to its neighboring pixels in order to produce a binary image. A small sub-image provides greater clarity whereas a large sub-image gives a better broad view. In an image having a border surrounding characters, a smaller sub-image is used for the characters and the larger sub-image is used for the border thereby providing two binary images.

Abstract: A CPU 300 divides an image into plural regions and for each of the regions, generates a histogram and calculates an average brightness Y ave. The CPU 300 determines a focus location on the image by using focus location information, sets a region at the determined location as an emphasis region, and sets the average brightness Y ave of the emphasis region as a brightness criterion Y std. The CPU 300 uses the brightness criterion Y std to determine non-usable regions. By using the regions not excluded as non-usable regions, the CPU 300 calculates an image quality adjustment average brightness Y? ave, i.e. the average brightness of the entire image, with a weighting W in accordance with the locations of the regions reflected thereto, and executes a bright value correction by using the calculated image quality adjustment average brightness Y? ave.

Abstract: A single chip vision sensor of an embodiment includes a pixel array and one or more circuits. The one or more circuits are configured to search an image for one or more features using a model of the one or more features. A method of an embodiment in a single chip vision sensor includes obtaining an image based at least partially on sensed light, and searching the image for one or more features using a model of the one or more features. A system of an embodiment includes the single chip vision sensor and a device. The device is configured to receive one or more signals from the single chip vision sensor and to control an operation based at least partially on the one or more signals.

Abstract: A method for remote event notification over a data network is disclosed. The method includes receiving video data from any source, analyzing the video data with reference to a profile to select a segment of interest associated with an event of significance, encoding the segment of interest, and sending to a user a representation of the segment of interest for display at a user display device. A further method for sharing video data based on content according to a user-defined profile over a data network is disclosed. The method includes receiving the video data, analyzing the video data for relevant content according to the profile, consulting a profile to determine a treatment of the relevant content, and sending data representative of the relevant content according to the treatment.

Abstract: A system and process for automatically learning a reliable color-based tracking system is presented. The tracking system is learned by using information produced by an initial object model in combination with an initial tracking function to probabilistically determine the configuration of one or more target objects in a temporal sequence of images, and a data acquisition function for gathering observations relating to color in each image. The observations gathered by the data acquisition function include information that is relevant to parameters desired for a final color-based object model. A learning function then uses probabilistic methods to determine conditional probabilistic relationships between the observations and probabilistic target configuration information to learn a color-based object model automatically tailored to specific target objects.

Abstract: An object velocity measuring apparatus of this invention for measuring an object velocity in a photographic field from a plurality of photographic frames made up of a plurality of pixels comprises an object area extracting unit configured to extract, as an object area, a set of pixels from which an object has been sensed over at least M (M<N) of N successive frames including the present frame, a center-of-gravity computing unit configured to calculate the center-of-gravity position coordinates of the extracted object area in the photographic field, and a velocity computing unit configured to calculate the object velocity from the movement of the calculated center-of-gravity position coordinates between different frames.

Abstract: An information processing method and apparatus enables one or more further users to share a mixed reality space image including a virtual object superimposed in a space where a first user exists. A first stereo image is acquired based on a stereo video captured by a first stereo capturing section mounted on the first user and a virtual object image created based on the position and orientation of the first stereo capturing section. A second stereo image is acquired based on a stereo video captured by a second stereo capturing section provided in the space where the first user exists and a virtual object image created based on the position and orientation of the second stereo capturing section. An image is selected from the first stereo image and the second stereo image according to an instruction of the further user. The selected image is presented to the further user.

Abstract: The present invention is directed to various methods and systems for analysis and processing of video and audio signals from a plurality of sources in real-time or off-line. According to some embodiments of the present invention, analysis and processing applications are dynamically installed in the processing units.

Abstract: A vehicle is provided with a plurality of imaging cameras for imaging the front left side, front right side, rear left side, rear right side and rear side. Imaging conditions such as a position where the imaging is scheduled, imaging camera used for the imaging, vehicle traveling direction, shift position of a transmission and vehicle speed are registered in an external memory. When the present position of the vehicle detected by a position detector is at or close to the position where the imaging is scheduled and when the imaging conditions are satisfied, the external circumstances of the vehicle are imaged by the specified imaging camera and are displayed on the display unit in the vehicle.

Abstract: A discrimination machine optically senses an object having a surface with a planar structure while scanning the planar structure along the surface. The machine includes a discrimination sensor including optical devices detecting light generated from the planar structure. The optical devices are disposed at an interval in a transverse direction, perpendicular to a scanning direction, to ensure a sufficiently wide sensing area for the object. A deviation detector detects deviation of the planar structure from a plane based on electrical signals output from the respective optical devices detecting the light generated by the object while the discrimination sensor is scanning the object. An optical device selector selects an optical device, from among the optical devices, based on the deviation detected. A determination is made as to whether the electrical signal output from the optical device selected is within an allowable margin.

Abstract: A method and device for automatically identifying sperm cells in a smear on a microscope slide, including capturing a first digital color image within an area of interest on the microscope slide. The first digital color image is split into a plurality of component color space images and stored into a plurality of memory spaces. The component color space images are manipulated by mathematical functions, logical functions or a combination of mathematical and logical functions to produce a result image. Thresholding the result image creates a binary result image which is processed with particle (blob) analysis. A set of blob factors is applied to identify probable sperm cells; and a list of universal coordinate system positions of the probable sperm cells is created.

Abstract: A method which, while displacing the field-of-view, allows the image in a target area to be acquired without degradations such as out-of-focus of the image. Plural pieces of images are acquired before and after a target area while displacing the field-of-view. Next, these images are grouped into groups each of which includes several pieces of images, and integrated images on each group basis are created. Moreover, a relational expression is calculated which holds between image displacement quantity calculated by comparing the integrated images with each other and the number of the photographed pieces of images. Furthermore, image displacement quantities between the acquired plural pieces of images are calculated from this relational expression. Finally, these images are corrected by the amounts of these displacement quantities, then being integrated. This process allows reconfiguration of the image in the target area.

Abstract: A hardware implemented method for incorporating a border region within an image region is provided. In this hardware implemented method, a position of a pixel along a line within the image region is first computed. The position of the pixel is then compared with an offset value, whereby the offset value defines boundaries of the border region along the line. Thereafter, an image pixel or a color of the border region is selected for display based upon the position of the pixel relative to the offset value. An apparatus and a display controller for incorporating the border region within the image region are also described.

Abstract: A method for detecting and correcting the orientation of a radiograph. The method generally includes the steps of accessing the radiograph; locating a region of interest in the radiograph; and using the located region of interest and a classifier to detect the orientation of the radiograph. In a preferred embodiment, the radiograph is preprocessed.

Abstract: A marker detection method includes the steps of acquiring a captured image, detecting a marker from the captured image, and determining whether or not a surrounding region of the detected marker includes a pixel of a predetermined color. An additional step includes determining, as a valid marker, a marker for which it is determined that the surrounding region does not include any pixel of the predetermined color.

Abstract: A facial parts position detection device which includes an image inputting device for inputting a captured face image, an ends position detecting device for detecting right and left ends position of the face on the basis of the image, a facial parts region setting device for setting facial parts region indicating a region where facial parts exists on the basis of the right and left ends of the face, a horizontal edge detecting device for detecting a horizontal edge on the basis of the image inputted by the image inputting device, a horizontal edge histogram creating device for creating a horizontal edge histogram by projecting the horizontal edge in a horizontal direction, a proposed position setting device for setting a plurality of peaks of the horizontal edge histogram as proposed positions respectively, and an optimum position detecting device for detecting an optimum position of the facial parts region.

Abstract: A parameter selection section selects one from a plurality of image synthesis parameters stored in a parameter storage section according to an output of a vehicle state detection section. An image synthesis section reads out camera images from frame memories according to the selected image synthesis parameter and generates a synthesized mage showing a state of vehicle surroundings. A moving object detection section detects, in the thus generated synthetic image, a moving object region estimated as a region where a moving object is present.

Abstract: A method for aligning point clouds is disclosed. The method includes inputting point cloud data of a reference object and a to-be-measured object, and confirming an original position of point cloud of the to-be-measured object. The method further includes determining a virtual position of point cloud of the to-be-measured object at each iteration, determining a minimum distance between point cloud of the reference object and point cloud of the to-be-measured object, and determining coordinates of each point in point cloud of the to-be-measured object corresponding to the minimum distance. The method further includes moving each point in point cloud of the to-be-measured object.

Abstract: An information presentation method is to photograph an object by use of an image input device and display related information corresponding to the object on the object in a display screen or the periphery of the object in the display screen. The related information of the object is expressed by the contents of expression of a plurality of two-dimensional markers set on the object or the periphery of the object and the plurality of two-dimensional markers correspond to any one of a plurality of information series.

Abstract: An integrated circuit device having an image change detection circuit which receives image data acquired by imaging means in time series, detects a change in an image, and generates a change detection signal. The image change detection circuit includes: an integration circuit which divides an image into one or more areas, integrates pixel values of pixels of image data of a first image and a second image received in time series, in units of the areas, and stores the integrated values in an integration register; and a change detection signal generation circuit which compares the integrated values of corresponding areas of the first image and the second image stored in the integration registers to detect the presence or absence of change, and generates a change detection signal when the change detection signal generation circuit determines that a change has occurred.

Abstract: An image mapping method comprising the steps of acquiring a captured image as well as positional information of an image object in the captured image and positional information of an image taking position, reading map data containing the position of the image object from a recording medium that stores map data and displaying an electronic map based on the map data on a display device, displaying an indicator that shows the image taking direction of the image object on the electronic map based on the positional information of the image object in the captured image and the positional information of the image taking position, and displaying a marker that shows the position of the image object on the electronic map and disposing on the electronic map a scaled-down image of the captured image that is associated with the indicator showing the image taking direction that was shown on the electronic map.

Abstract: An image forming apparatus prints images on print sheets, and insets tab-index sheets between the printed print sheets. The image forming apparatus includes an orientation detecting unit which detects an orientation of a print sheet being supplied, a rotation-angle selecting unit which selects a rotation angle of an image such that the image is arranged in an orientation matching the detected orientation of the print sheet and in a predetermined positional relationship with a tab of the tab-index sheets, and a printing unit which prints the image being rotated by the selected rotation angle.

Abstract: Object detection apparatus for detecting objects in a test image comprises means for comparing blocks of a test window of the image with reference data indicative of the presence of an object to generate index figures indicative of a degree of similarity between a region and the reference data; means for storing probability data corresponding to possible values of the index figure and the block position; means operable, in respect of a current block, for accessing a probability value from the storing means in dependence on that block's position within the test window and the index figure generated in respect of that block; and means for combining the probability values corresponding to blocks in a test window to generate a result indicative of the probability of that test window containing an object; in which the probability values in the storing means are ordered by block position then by index figure.

Abstract: A method and apparatus for determining the position of a plane of symmetry of a three-dimensional object from at least two two-dimensional mappings, wherein the mappings are obtained from different directions. At least one characteristic line of the three-dimensional object is determined in one of the two-dimensional mappings, and at least one of the two two-dimensional mappings is morphed. The at least one characteristic line is transferred onto the other two-dimensional mapping, and the characteristic lines from the two-dimensional mappings are back-projected to obtain a three-dimensional curve corresponding to the characteristic lines. A plane of symmetry of the object is ascertained from the course of the three-dimensional curve.

Abstract: According to the present invention, in a specified image position estimating apparatus, for, even if an original image varies in size to vary a size of a mark, detecting the mark in the original image fast and accurately to securely estimate the position of a specified image included in the original image, there are provided a position detection point detecting unit for, in a state where three or more position detection marks, each of which is made such that two or more straight lines intersect with each other or come into contact with each other at one position detection point, are affixed to the original image, detecting the position detection point of each of the position detection marks on the original image and a specified image position estimating unit for estimating the position of the specified image in the original image on the basis of the position detection point.

Abstract: An image shifting module for shifting imaging positions of sub-images projected on a screen in each frame, and an optical projection device using the same are provided. The image shifting module includes a first vibration mechanism and a second vibration mechanism. The first vibration mechanism is disposed on the transmission path of the sub-images and shifts the sub-images projected on the screen by a first distance along a horizontal direction in each frame time. Moreover, the second vibration mechanism is disposed on the transmission path of the sub-images and shifts the sub-images projected on the screen by a second distance along a vertical direction in each frame time. Through this image shifting module, the image resolution can be increased.

Abstract: A method for providing information with digital images includes receiving a digital image of a subject, the digital image including as metadata a geographic position of the subject and other information associated with generating a path to the subject. A path to the subject from the source location can then be generated based on a geographic position of the source location and the metadata included with the digital image. The metadata can be stored on a mobile device and an alert provided when the mobile device is near the geographic position of the subject or if a trajectory of the mobile device does not match the generated path. Relationships with other digital images having associated metadata may also be included. Thus, users have the ability to use their image capture devices to intelligently share digital images of subjects and knowledge of the subjects, delivering greater value from these devices.

Abstract: The present invention relates to a jotting implement that infers hand-jotted information from viewing a jotting surface and environmental landmarks. The hand-jotted information is any information marked on the jotting surface as a result of writing, jotting, drawing, sketching or otherwise operating on the jotting surface as well as hand-generated information produced by moving the implement in the air with respect to the jotting surface. The jotting implement has a nib for jotting and an arrangement for determining when the nib is jotting on the jotting surface. Further, the implement has an optical unit for viewing an environmental landmark and the jotting surface. The implement has a processing unit for receiving optical data of the environmental landmark and the jotting surface from the optical unit and determining from the optical data the physical coordinates of the nib with respect to the jotting surface.

Abstract: A video is acquired of a scene. Each pixel in each frame of the video is represented by multiple of layers. Each layer includes multiple Gaussian distributions. Each Gaussian distribution includes a mean and a covariance. The covariance is an inverse Wishart distribution. Then, the layers are updated for each frame with a recursive Bayesian estimation process to construct a model of the scene. The model can be used to detect foreground and background pixels according to confidence scores of the layers.

Abstract: A method for detecting and recognizing at least one traffic sign is disclosed. A video sequence having a plurality of image frames is received. One or more filters are used to measure features in at least one image frame indicative of an object of interest. The measured features are combined and aggregated into a score indicating possible presence of an object. The scores are fused over multiple image frames for a robust detection. If a score indicates possible presence of an object in an area of the image frame, the area is aligned with a model. A determination is then made as to whether the area indicates a traffic sign. If the area indicates a traffic sign, the area is classified into a particular type of traffic sign. The present invention is also directed to training a system to detect and recognize traffic signs.

Abstract: A calculation module for calculating the position of a mechanical element, the calculation module being operable to receive an input signal, detect a first plurality of corresponding features in the input signal, calculate the spacing between successive features of the first plurality of corresponding features, generate a first numerical sequence in accordance with the spacing between successive features of the first plurality of corresponding features, detect a second plurality of corresponding features in the input signal, calculate the spacing between successive features of the first plurality of corresponding features, and generate a second numerical sequence in accordance with the spacing between successive features of the first plurality of corresponding features.