Abstract: A method includes receiving external data including a plurality of data points indicative of a plurality of respective states of an environment external to a vehicle. The external data is data that was received by the vehicle from a handheld mobile communication device of a pedestrian external to the vehicle via a wireless link, and is indicative of objects sensed by the handheld mobile communication device. The method also includes storing the external data in a memory, generating an animated re-creation of an event (e.g., accident) involving at least one vehicle using the stored plurality of data points, and causing the animated re-creation of the event to be displayed.

Abstract: In one or more embodiments, one or more systems, devices, methods, and/or processes described can apply searches and/or filters to data of social networks with respect to one or more geographical search regions that intersect respective one or more geographical context regions. One or more social networks can be queried with search and/or filter parameters and one or more geographical context regions, and results received from the social network(s) can be based on the search and/or filter parameter(s) and the geographical context region(s) and presented to a user on a map or other user interface. One or more queries can be saved with their identification(s) of geographical context region(s) and their search and/or filter parameter(s) (e.g. saved queries) can continue to run and/or execute over one or more periods of time transpiring to provide continual and/or periodic reporting.

Abstract: Methods and systems of managing settings are described. According to various embodiments, a settings page corresponding to a user's settings on an online service may be caused to be displayed on a device. The settings page may comprise selectable category setting options for a setting category. The setting category may have a plurality of subcategories, and each subcategory may have its own selectable subcategory setting options. Each one of the category setting options may correspond to its own distinct configuration of subcategory setting options for its subcategories. A user input indicating a selection of one of the category setting options for the setting category may be received. The configuration of subcategory setting options corresponding to the selected one of the category setting options for the setting category may be applied to the user's settings on the online service.

Abstract: Utilizing eye tracking to collect naturally expressed affective responses for training an emotional response predictor, comprising: receiving a vote of a user on a segment of content consumed by the user; receiving eye tracking data of the user taken while the user consumed the segment of content; determining, based on the eye tracking data, that a gaze-based attention level to the segment reaches a predetermined threshold; utilizing the vote to generate a label related to an emotional response to the segment; receiving an affective response measurement of the user taken substantially while the user consumed the segment of content; and training a measurement emotional response predictor with the label and the affective response measurement.

Abstract: The present application provides a peer-to-peer networking method and system for integrating heterogeneous social networks. The method applied in a server device includes the following steps: First, the server device connects with a plurality of peer nodes; each of the peer node defines a user end and accessing at least one social network. Then, the server device according to a social relationship of the social networks links to the corresponding peer nodes for integrating a peer-to-peer social network (P2P-iSN) which configures a plurality of social paths among the peer nodes from the different social networks.

Abstract: A system and method allow a customer to perform self-checkout at a real-world non-virtual store or restaurant or other business establishment that the customer is visiting. The customer pre-defines an electronic payment method. The customer visits the business establishment, and the system generates a unique user-specific code that is a function of the time, the location, and the specific customer. The code is displayed on the mobile device of the customer, which is then shown to an employee of the business establishment, which then enters the unique code into a Point of Sale terminal; thereby generating an association between an ongoing open tab of the customer, and the mobile device of the customer. The customer is able to perform self checkout of the open tab, without requiring action on behalf of the business establishment.

Abstract: A computer system for processing a viewport within an image arranged as a matrix of tiles from a container file is disclosed herein. The computer system includes one or more processors configured to: (a) receive a request to read data of the viewport starting from a point of origin of the viewport, the viewport having a pixel width and a pixel height, the viewport being a portion of an image that is stored in a record within the file container; (b) compute column numbers or row numbers, or both, of the tiles containing the viewport; and (c) read in parallel or asynchronously each row or each column of tiles containing the viewport.

Abstract: The present invention discloses a system and methods for parallel processing of multiple processing job requests; the system may include a server for receiving a job request, an algorithm for segmenting the job request to a few sub jobs and a few processors for processing the few sub jobs in parallel. Each sub job contains a few frames to be processed by the job processors and the outputs of few job processors are combined into a single output. The invention further discloses methods for proportional allocation of job segments and an optimization algorithm to automatically assign job requests and to adapt the resources of the system to meet customers demand according to predefined criteria.

Abstract: The embodiments set forth a technique for targeted scaling of the voltage and/or frequency of hardware components included in a mobile computing device. One embodiment involves independently analyzing the individual frame rates of each animation within a user interface (UI) of a mobile computing device instead of analyzing the frame rate of the UI as a whole. This can involve establishing, for each animation being displayed within the UI, a corresponding performance control pipeline that generates a control signal for scaling a performance mode of the hardware components (e.g., a Central Processing Unit (CPU)) included in the mobile computing device. In this manner, the control signals generated by the performance control pipelines can be aggregated to produce a control signal that causes a power management component to scale the performance mode(s) of the hardware components.

Abstract: A convolution image processor includes a load and store unit, a shift register unit, and a mapping unit. The load and store unit is configured to load and store image pixel data and allow for unaligned access of the image pixel data. The shift register is configured to load and store at least a portion of the image pixel data from the load and store unit and concurrently provide access to each image pixel value in the portion of the image pixel data. The mapping unit is configured to generate a number of shifted versions of image pixel data and corresponding stencil data from the portion of the image pixel data, and concurrently perform one or more operations on each image pixel value in the shifted versions of the portion of the image pixel data and a corresponding stencil value in the corresponding stencil data.

Abstract: A method for sharing memory between a central processing unit (CPU) and an input/output (I/O) device of a computing device is described. The method may include creating an allocation of memory for the I/O device to operate on. The method includes detecting whether the allocation is not page-aligned, wherein an allocation is page-aligned when its base address and size be evenly divisible by the applicable page-size. The allocation may be successfully shared, even if not page-aligned, even if an operating system of the computing device doesn't support sharing of non-page-aligned allocations.

Abstract: A high-speed ring topology. In one embodiment, two base chip types are required: a “drawing” chip, LoopDraw, and an “interface” chip, LoopInterface. Each of these chips have a set of pins that supports an identical high speed point to point unidirectional input and output ring interconnect interface: the LoopLink. The LoopDraw chip uses additional pins to connect to several standard memories that form a high bandwidth local memory sub-system. The LoopInterface chip uses additional pins to support a high speed host computer host interface, at least one video output interface, and possibly also additional non-local interconnects to other LoopInterface chip(s).

Abstract: Methods and computer graphics systems are provided for compressing vertex parameter data. The vertex parameter data comprises a data block comprising data of vertices relating to at least one parameter. The data of each of the vertices includes multiple data segments at respective positions. The data in the data block is analyzed to determine a compression grouping scheme according to which data segments of the vertices are grouped together into segment blocks for compression. The analysis of the data determines a compression grouping scheme which is suited to the distribution of the data in the data block, to thereby improve the compression ratio which can be achieved when compressing the data block.

Abstract: A display driver that receives display line data of plural display lines to perform drive control on a display panel includes a line memory for storing display line data which is supplied from the outside. The display driver includes a logic circuit that controls write and read-out of the display line data in and from the line memory, and sorts pixel data of the display line data using read out data from the line memory, to generate display drive data. Drive circuits drive the display panel in units of display lines based on the drive data which is output from the logic circuit. The drive circuits are separately arranged on both sides of the logic circuit and the line memory which are interposed therebetween. The storage capacity of the line memory corresponds to the number of lines smaller than the number of display lines of a display frame.

Abstract: A computer program product includes instructions for a processor to perform a method of improving image structure and coherence, and/or for simplification/stylization. The method includes inputting the image, by: scanning the image; image capture using a camera; and/or image creation using a computer. Multi-channel images are converted into a single-channel grayscale image, which is separated into a first image component—the high spatial frequencies, and a second component image—the low spatial frequencies. The first and second component images are each formed by filtering to remove frequencies outside of respective upper and lower threshold frequencies. A gain multiplier is applied to the filtered first and second component images to control detail amplification. The first and second component images are each blurred at the respective upper and lower threshold frequencies.

Abstract: A method of processing 2D graphics comprising generating a perspective projection of a 2D graphics by scaling the 2D graphics with a variable ratio, wherein scaling the 2D graphics with the variable ratio comprises interpolating the graphics with a filter, such that a point xp in the perspective projection is generated from a point x0 in the 2D graphics with a following equation x0=1/R(j)*xp+Ph(j), wherein j represents a line index of the point x0, 1/R(j) represents a scaling factor of a length in the 2D graphics versus a length in the perspective projection, and Ph(j) represents a phase shift.

Abstract: Content aware cropping techniques are described in which a combined crop and fill operation may be performed in one-step using an automated workflow. In one or more implementations, an image is exposed for editing in a user interface and input is obtained that indicates a position for a crop frame to select a portion of the image. The crop frame may be employed as a basis for a combined crop and fill operation that is initiated by a single input or trigger that causes a sequence of actions to automatically crop the image, recognize portions of empty pixels to fill, apply a content aware fill algorithm, and produce a resulting output image. In one or more implementations, a size of the crop frame may be controlled to maintain at least one of image size, aspect ratio, or pixel resolution.

Abstract: A method includes determining, by a hardware processor and based on an image frame, a first edge strength distribution on a horizontal edge map and a second edge strength distribution on a vertical edge map. The first and second edge strength distributions are redistributed to narrow at least one of the first and second edge strength distributions. Non-texture regions of pixels are determined based on a data correlation map of the image frame. Edge strength magnitudes for the pixels of the non-texture regions of the horizontal edge map and the vertical edge map are determined. A high resolution frame is generated by adjusting intensity of respective pixels of the non-texture region of the horizontal edge map and the vertical edge map, the adjusting being based on neighboring pixels edge strength magnitudes.

Abstract: Images captured by multi-camera arrays with overlap regions can be stitched together using image stitching operations. An image stitching operation can be selected for use in stitching images based on a number of factors. An image stitching operation can be selected based on a view window location of a user viewing the images to be stitched together. An image stitching operation can also be selected based on a type, priority, or depth of image features located within an overlap region. Finally, an image stitching operation can be selected based on a likelihood that a particular image stitching operation will produce visible artifacts. Once a stitching operation is selected, the images corresponding to the overlap region can be stitched using the stitching operation, and the stitched image can be stored for subsequent access.

Abstract: The disclosure describes a technique for medical imaging, referred to herein as the Rapid Interleave Overlap Technique (RIOT), wherein image data is acquired as a plurality of series sequences in a manner that allows for unlimited overlap. RIOT involves interleaving and overlapping 2D image slices of multiple series of image data of the same ROI into a composite data set from which MPR and 3D reconstructions exhibiting excellent resolution properties and crisp image quality can be generated.

Abstract: A method, device, system, and article of manufacture are provided for generating an enhanced image of a predetermined scene from images. In one embodiment, a method comprises receiving, by a computing device, a first indication associated with continuous image capture of a predetermined scene being enabled; in response to the continuous image capture being enabled, receiving, by the computing device, from an image sensor, a reference image and a first image, wherein each of the reference image and the first image is of the predetermined scene and has a first resolution; determining an estimated second resolution of an enhanced image of the predetermined scene using the reference image and the first image; and in response to the continuous image capture being disabled, determining the enhanced image using the reference image and the first image, wherein the enhanced image has a second resolution that is at least the first resolution and about the estimated second resolution.

Abstract: XHD video is acquired from a camera fitted with an ultra-wide field-of-view lens such as a fish eye lens. The active picture portion of the images are divided into patterns each having a plurality of pixels. The patterns are assigned coordinate values and then reformatted into HD format using an encryption key which reorders the patterns. The images are processed in the HD format and then returned to XHD formation by applying the reverse reordering process under the control of the key.

Abstract: A display apparatus includes an orientation detecting portion, a receiving portion and an image processing portion. The orientation detecting portion detects an orientation of an upper part or a lower part of a display screen of a display portion. The receiving portion receives an image signal transmitted from a source device and state information (information showing an orientation of an upper part or a lower part of the transmission image indicated by the image signal and presence/absence of black band parts). The image processing portion applies, to the transmission image, rotation processing such that the orientation of the upper part or the lower part of the display screen coincides with the orientation of the upper part or the lower part of the transmission image, scaling processing, and/or black-band processing for adding or removing black band parts, according to a detection result of the orientation detecting portion and the state information.

Abstract: A system (100) for registering an image sequence includes an input (120) for obtaining the image sequence (200) which includes a plurality of images (201 -205) arranged sequentially within an image range. A transformation processor (140) establishes transformations between pairs of consecutive images in the image sequence (200) to obtain a plurality of transformations (211-214). An alignment processor (160) based on the plurality of transformations (211-214), establishes a reference image (203) from the plurality of images (201-205) based on a transformation metric and aligns the image sequence (200) to the reference image (203) to obtain a registered image sequence (230). The transformation metric quantifies a degree of transformation required for aligning the image sequence (200) to the reference image (203).

Abstract: An image processing apparatus of the disclosure performs image processing to an extraction image as an image of an extracted linear configuration appearing in an original image. Specifically, the image processing apparatus includes a line connecting processor configured to connect fragments of the linear configuration in the extraction image due to noises or the like to generate a fragment eliminated image. The line connecting processor interpolates pixels in the extraction image in an extending direction of the linear configuration based on a direction image while obtaining the extending direction of the linear configuration in the extraction image. Accordingly, the linear configuration is expanded in its extending direction. Such operation causes natural connection of the fragments of the linear configuration in the extraction image, achieving provision of an image with higher visibility.

Abstract: An exposure enhancement method and apparatus for a defogged image. The exposure enhancement method includes: constructing an exposure enhancement function in accordance with a defogging parameter; performing exposure enhancement on a defogged image by using the constructed exposure enhancement function. The method and apparatus can adaptively process the defogged image according to the defogging parameter and can process pixels in the defogged image in parallel.

Abstract: The invention discloses an image restoration method and an imager processing apparatus using the same. The method includes the following steps: receiving a haze image comprising a plurality of pixels; detecting whether a color cast phenomenon occurs on the haze image; if yes, calculating a plurality of Laplacian distribution values respectively corresponding to the color channels; determining a maximum distribution value and a minimum distribution value among the Laplacian distribution values, and generating a self-adaptive parameter by comparing the maximum distribution value and the minimum distribution value; adjusting the transmission map by the self-adaptive parameter so as to generate a adjusted transmission map; calculating a plurality of color parameters respectively corresponding to the color channels according to the Laplacian distribution values; and restoring the haze image by using the color parameters and the adjusted transmission map so as to obtain a restored image.

Abstract: Apparatus 10 for processing image data comprises an input 11 arranged to receive image data representing an image. The image data comprises a luminance component 13 at a first spatial resolution and at least one chrominance component 14 at a second, lower, spatial resolution. An up-sampling unit 18 up-samples the spatial resolution of the at least one chrominance component 14 to form an up-sampled chrominance component. A guided image filter (GIF) 20 filters the up-sampled chrominance component. The guided image filter comprises a radius parameter which determines an extent of the filter around a pixel. A control unit 15 for the guided image filter 20 determines a value of the radius parameter of the guided image filter. The value of the radius parameter is variable for different pixels of the image, or for different regions of pixels of the image. The control unit 15 can analyze the image data to determine the value of the radius parameter.

Abstract: A multifunctional interface for medical imaging has a lower limb operable multifunctional interface which includes at least one activation element, such as a foot switch pedal, a timing unit, and a control unit. The activation element is configured to provide an activation signal to the control unit when being activated. Further, the timing unit is configured to provide a timing signal to the control unit upon being provided with the activation signal from the activated activation element. The control unit is configured to provide at least two different control signals for triggering at least two different predetermined actions. Further, the control signal is dependent on a duration of the timing signal.

Abstract: Systems and methods for detecting defects on a reticle are provided. The embodiments include generating and/or using a data structure that includes pairs of predetermined segments of a reticle pattern and corresponding near-field data. The near-field data for the predetermined segments may be determined by regression based on actual image(s) of a reticle generated by a detector of a reticle inspection system. Inspecting a reticle may then include separately comparing two or more segments of a pattern included in an inspection area on the reticle to the predetermined segments and assigning near-field data to at least one of the segments based on the predetermined segment to which it is most similar. The assigned near-field data can then be used to simulate an image that would be formed for the reticle by the detector, which can be compared to an actual image generated by the detector for defect detection.

Abstract: Disclosed are methods for analyzing the effect of a test substance on biological and/or biochemical samples in which a plurality of samples, each comprising a known concentration of the test substance in at least three different concentrations, are used to obtain measurements which provide raw data. An evaluation rule utilizes the raw data of the sample determining the effect of the test substance, at the particular concentration, on the sample. The evaluation rule is influenced by at least one control parameter, and at least one starting value for the at least one control parameter is determined. The raw data is evaluated and correspondence between the determined activities and a functional model resulting from theoretical considerations yields a dose/effect curve describing the dependence of the activities on the concentration of the test substance. The steps are modified and repeated until an abort criterion has been reached.

Abstract: An image display device comprises a first control part, a first storage, and a display part. The first storage holds rendering elements, each of which includes a combination of rendering target information and rendering setting information, and a priority order assigned to each rendering element. The rendering target information includes data identification information which designates three-dimensional data of a rendering target and mask information which designates a rendering target area. The rendering setting information includes information which designates a two-dimensional image rendering method and rendering parameter. The first control part determines, based on the rendering setting information and the mask information, whether executing priority processing is necessary.

Abstract: A method and system for integrating radiological and pathological information for cancer diagnosis, therapy selection, and monitoring is disclosed. A radiological image of a patient, such as a magnetic resonance (MR), computed tomography (CT), positron emission tomography (PET), or ultrasound image, is received. A location corresponding to each of one or more biopsy samples is determined in the at least one radiological image. An integrated display is used to display a histological image corresponding to the each biopsy samples, the radiological image, and the location corresponding to each biopsy samples in the radiological image. Pathological information and radiological information are integrated by combining features extracted from the histological images and the features extracted from the corresponding locations in the radiological image for cancer grading, prognosis prediction, and therapy selection.

Abstract: Provided is a method for discriminating a tissue of interest and a method for generating photo-acoustic images to detect a calcified tissue, which includes: detecting an intensity of each pixel of a tissue-of-interest image obtained for each wavelength; matching an index corresponding to an image, which has a greatest intensity corresponding to each pixel, to each pixel; generating a signal weight corresponding to each pixel in consideration of a wavelength absorbed by the tissue of interest; and applying the generated signal weight of each pixel to each pixel of an image obtained with a wavelength, which is the most absorbed by the tissue of interest, to generate an image in which a background is discriminated.

Abstract: Described herein is an approach for analyzing perfusion characteristics of heterogeneous tissues in 4D data set (i.e., a time series of contrast enhanced 3D volumes) in which spatially entangled tissue components are separated into individual tissue components and perfusion maps for the individual tissue components are generated and visually presented. In one instance, the approach includes obtaining the 4D data set in electronic format, generating a different time activity curve point for each of the different tissue components for each voxel being evaluated for each time frame being evaluated, and generating a signal indicative of a different parameter map for each of the different tissue components based at least on the time activity curves. Optionally, relations between parameters of the different components are determined and presented in relation maps.

Abstract: A microprocessor is operably coupled to a camera from which patient vital signs are determined. A temporal variation of images from the camera is generated from multiple filters and then amplified from which the patient vital sign, such as heart rate or respiratory rate, can be determined and then displayed or stored.

Abstract: One aspect of the present disclosure relates to a system that can determine a kurtosis diffusion orientation distribution function (dODF) that can, for example, be used with diffusional kurtosis imaging fiber tractography (DKI-FT). The system can include a non-transitory memory storing computer-executable instructions and a processor that executes the computer-executable instructions to perform the following operations. Diffusion magnetic resonance imaging (dMRI) data can be received. Based on the dMRI data, a diffusion tensor (DT) and a diffusional kurtosis tensor (DKT) can be determined. A kurtosis dODF can be determined for the dMRI data based on the DT and the DKT. The kurtosis dODF extends a Gaussian approximation of the DT to include non-Gaussian corrections of the DKT.

Abstract: A method is disclosed for evaluating an examination of an examination object using a medical imaging device by way of an evaluation unit. The method includes reading in an examination data set of the examination object; assigning a reference data set to the read-in examination data set, the reference data set comprising at least one reference region; selecting at least one reference region; assigning at least one examination region of the examination data set to the at least one reference region; and marking the at least one examination region in at least one image of the examination data set. In an advantageous embodiment, the marking of the at least one examination region includes a marking tolerance and a segmentation of the at least one examination region on at least one image of the examination data set, and the segmentation depends on the medical imaging device.

Abstract: Systems and methods for image registration includes an image feature detection module (116) configured to identify internal landmarks of a first image (110). An image registration and transformation module (118) is configured to compute a registration transformation, using a processor, to register a second image (112) with the first image based on surface landmarks to result in a registered image. A landmark identification module (120) is configured to overlay the internal landmarks onto the second image using the registration transformation, encompass each of the overlaid landmarks within a virtual object to identify corresponding landmark pairs in the registered image, and register the second image with the first image using the registered image with the identified landmarks.

Abstract: Disclosed is a method and apparatus for selecting a part of SLAM map information of a first device for transmission to a second device in a collaborative SLAM environment. In one embodiment, the functions implemented include: determining whether a 3D registration transformation between a map of the first device and a map of the second device is available; and transmitting a part of map information of the first device to the second device according to one of a first strategy or a second strategy based on whether or not a 3D registration transformation between the map of the first device and the map of the second device is available.

Abstract: By evaluating readily available facts regarding an object, an item may be identified, or one or more characteristics of the item may be determined, and a destination for the item may be selected. An extraction module including a depth sensor may capture depth imaging data regarding the item, which may then be processed in order to estimate one or more dimensions of the item, and an appropriate container or storage area for the item may be selected. Additionally, the extraction module may further include a scale for determining a mass of the item, or digital cameras for capturing one or more images of the item. The images of the item may be analyzed in order to interpret any markings, labels or identifiers disposed on the item, and a destination for the item may be selected based on the mass, the analyzed images or the depth imaging data.

Abstract: A system and method is provided for identifying error and rescaling and constructing or reconstructing a multi-dimensional (e.g., 3D) building model using street-level imagery. Street-level imagery is used to identify architectural elements that have known architectural standard dimensions. Dimensional measurements of architectural elements in the multi-dimensional building model (poorly scaled) are compared with known architectural standard dimensions to rescale and construct/reconstruct an accurate multi-dimensional building model.

Abstract: An image monitoring apparatus includes a foreground/background separator generating a foreground image by removing background pixels exhibiting no movement from pixels in an image and separating foreground pixels representing pixels of a moving object from the pixels; a foreground object information generator generating foreground object information containing a coordinate value of each of one or more foreground objects included in the foreground image and the number of pixels of the foreground objects; an clustering unit clustering the foreground object information into a plurality of groups; a singleton information detector determining at least one group from the plurality of groups as a group of singletons, and detecting singleton information on the singletons; and a singleton estimation calculator estimating a predetermined area calculation function using the singleton information and calculate at least one of estimates with respect to an area, a width and a height of each of the singletons.

Abstract: Objects are tracked within images. According to an example embodiment, video data is processed for tracking one or more objects. A computer circuit executes instructions to process a series of ordered video frames in a set of video data as follows. A region of interest is defined in an initial one of the video frames, and a particle mesh is formed from a set of feature points for an object in the defined region. The particle mesh is propagated to an adjacent video frame using motion vectors of points in the mesh to form a coarse boundary at the adjacent frame. Occlusion and scene boundaries are detected in the adjacent video frame, and the detected boundaries are used to set a boundary and a number of feature points within the boundary in the adjacent video frame to maintain mesh coherence and track the object in the subsequent video frames.

Abstract: A system and method are disclosed for determining geoposition of an observer. The system includes a sensor such as a wide field of view camera or telescope that can capture an image of the sky. The image of the sky is used to compile a table or list of the stars in the sky along with their positions. This table or list is pattern-matched with a predetermined list or table of stars to identify each star. In one embodiment, the distances between all stars in the image are computed and compared to star images from an atmospheric refraction model. A comparison of the measured table or list and the refraction model, using an optimization algorithm, is performed to determine the geoposition of the observer. In an alternative embodiment, a sensor capable of measuring two different frequency bands obtains two images of each star in the sky simultaneously.

Abstract: A robot is made to recognize and manipulate different types of cable harnesses in an assembly line. This is achieved by using a stereo camera system to define a 3D cloud of a given cable harness. Pose information of specific parts of the cable harness are determined from the 3D point cloud, and the cable harness is then re-presented as a collection of primitive geometric shapes of known dimensions, whose positions and orientations follow the spatial position of the represented cable harness. The robot can then manipulate the cable harness by using the simplified representation as a reference.

Abstract: In an example embodiment, a method, apparatus and computer program product are provided. The method includes facilitating receipt of a plenoptic image associated with a scene, the plenoptic image including plenoptic micro-images and being captured by a focused plenoptic camera. The method includes generating plenoptic vectors for the plenoptic micro-images of the plenoptic image, where an individual plenoptic vector is generated for an individual plenoptic micro-image. The method includes assigning disparities for the plenoptic micro-images of the plenoptic image.

Abstract: Techniques to provide efficient stereo block matching may include receiving an object from a scene. Pixels in the scene may be identified based on the object. Stereo block matching may be performed for only the identified pixels in order to generate a depth map. Other embodiments are described and claimed.

Abstract: A method reduces processing time required to identify locations burned by fire by receiving a feature value for each pixel in an image, each pixel representing a sub-area of a location. Pixels are then grouped based on similarities of the feature values to form candidate burn events. For each candidate burn event, a probability that the candidate burn event is a true burn event is determined based on at least one further feature value for each pixel in the candidate burn event. Candidate burn events that have a probability below a threshold are removed from further consideration as burn events to produce a set of remaining candidate burn events.

Abstract: The present invention relates to an image background modeling and foreground extraction method based on a depth image, characterized by comprising: step 1: acquiring a depth image representing a distance from objects to a camera; step 2: initiating a real-time depth background model; step 3: updating the real-time depth background model; step 4: acquiring a current depth image representing the distance from the objects to the camera; step 5: extracting a foreground image of the current depth image based on the real-time depth background model; step 6: outputting the foreground image and generating a real-time target masking image; and step 7: updating the real-time depth background model, where code block information of each pixel point in the real-time depth background model is updated according to the real-time target masking image.