Abstract: A method and system for generating image data representative of a person wearing one or more items of clothing includes using computing hardware to process data of one or more images of people wearing items of clothing to extract via segmentation processes data representative of the items of clothing; using computing hardware to process the data representative of the items of clothing to complete one or more missing parts of the data representative of the items of clothing to generate corresponding clothes data; using computing hardware to analyse an image of a target model to determine a pose of the target model in the image; and using computing hardware to metamorphose at least a portion of the clothes data to fit the image of the target model to generate metamorphosed clothes data, and to overlay the metamorphosed clothes data onto the image of the target model.

Abstract: A method for generating a confidence map comprising a plurality of confidence values, each being assigned to a respective disparity value in a disparity map assigned to at least two stereo images each having a plurality of pixels, wherein a single confidence value is determined for each disparity value, and wherein for determination of the confidence value at least a first confidence value based on a match quality between a pixel or a group of pixels in the first stereo image and a corresponding pixel or a corresponding group of pixels in the second stereo image and a second confidence value based on a consistency of the corresponding disparity estimates is taken into account.

Abstract: A system for detecting a person and estimating pose information comprises a processor and a memory storing instructions causing the system to: retrieve depth data from a sensor, the depth data describing distance information associated with one or more objects detected by the sensor; cluster the depth data to determine two or more candidate leg clusters, each candidate leg cluster including a portion of the depth data that may represent a human leg detected by the sensor; identify a candidate leg cluster pair including two candidate leg clusters within a certain distance between each other; determine whether there is a connectivity between the two candidate leg clusters included in the candidate leg cluster pair; and responsive to determining that there is a connectivity between the two candidate leg clusters, determine that the candidate leg cluster pair is qualified to be a leg cluster pair representing a person.

Abstract: A method of generating an image enhancement function for enhancing an input image comprising a plurality of pixels to form an enhanced output image. The method includes receiving a reference image comprising a plurality of pixels; receiving an enhanced image derived from the reference image comprising a corresponding plurality of pixels; calculating a plurality of lookup tables, each of which maps a first plurality of pixel values to a second plurality of pixel values; and generating the image enhancement function comprising a spatially varying function of the lookup tables which when applied to the reference image generates an approximation to the enhanced image.

Abstract: A method, non-transitory computer readable medium, and apparatus for providing controlling a thin line growth are disclosed. For example, the method receives an image in a first resolution, wherein each pixel of a plurality of pixels within the image is marked with a first tag and a second tag, wherein the first tag determines whether each pixel is on or off in the image and the second tag determines whether a thin line growth for each pixel is on or off in the image and produces a second image in a second resolution based upon the image in the first resolution, wherein the thin line is grown by turning on each pixel in a sub-line that is adjacent to a different pixel from a different sub-line having the first tag on and the second tag of the each pixel in the sub-line is on.

Abstract: According to one embodiment, in an apparatus for generating a multi-viewpoint image, a separation unit separates a target image into a first diffuse reflection image and a first non-diffuse reflection image based on a pixel value of each pixel of the target image. The first non-diffuse reflection image has components except for the first diffuse reflection image. A first estimation unit estimates a change amount of each pixel among a plurality of first non-diffuse reflection images corresponding to viewpoints differently. A first generation unit generates a second non-diffuse reflection image by changing at least one of a shape and a luminance of each pixel of the first non-diffuse reflection image, based on the change amount of each pixel. A synthesis unit generates the multi-viewpoint image by synthesizing the first diffuse reflection image with the second non-diffuse reflection image. Each viewpoint image corresponds to each of the viewpoints.

Abstract: A mechanism is provided for identifying one or more eligible image candidates. Responsive to a determination that the storage of a recently captured image raising an allocated captured images memory space in a storage to a point that storage of a next captured image would raise the allocated captured images memory space in the storage above the predetermined threshold, a criteria group in a set of criteria groups is identified to utilize for identification of one or more images candidates from a set of stored images in the storage. The one or more images candidates from the set of stored images in the storage are identified utilizing one or more image identification criteria in the criteria group. The one or more image candidates are then presented to a user.

Abstract: An information processing apparatus including an acquisition unit that acquires a plurality of image sets obtained by different acquisition methods, a generation unit that generates partial image sets by extracting corresponding partial images from respective images of the image sets, an assignment unit that assigns the partial image sets to a root node of a tree structure, a setting unit that sets, at each node of the tree structure, positions of a plurality of pixels for each partial image set assigned to the node, a determination unit that determines whether any one of the plurality of pixels in a. partial image obtained by a predetermined one of the different acquisition methods in each partial image set has an invalid value, and a selection unit that selects art acquisition method based on the determination.

Abstract: A method and system for reconstructing an image displayed on an electronic device connected to a network, to be a high resolution image. The method of reconstructing a selected area of the image displayed on the electronic device connected to a network, to be a high resolution image, includes: receiving a request to expand the selected area; collecting images including the selected area from the Internet; correcting the selected area to have a high resolution while expanding the selected area based on the collected images; and displaying the image expanded to have a high resolution on the electronic device.

Abstract: An image processing device includes a memory unit, a candidate pupil detecting unit and a pupil determining unit. The memory unit is used in storing information regarding a pupil size. The candidate pupil detecting unit detects noncircular candidate pupils from an image in which an eye area is captured. The pupil determining unit extrapolates the shapes of the candidate pupils that are detected by the candidate pupil detecting unit and, based on the pupil size stored in the memory unit, determines a pupil from among the candidate pupils.

Abstract: Embodiments of the invention include a method and/or system for determining the relative location of light sources in a video clip. The relative location of a light source can be determined from information found within the video clip. This can be determined from specular reflection on a planar surface within the video clip. An ellipse can be fit to glare that is indicative of specular reflection on the planar surface. An outgoing light angle can be determined from the ellipse. From this outgoing light angle, the incident light angle can be determined for the frame. From this incident light angle, the location of the light source can be determined.

Abstract: An information processing apparatus that acquires first posture information corresponding to the information processing apparatus and a first distance coordinate corresponding to the information processing apparatus, and second posture information corresponding to another information processing apparatus and a second distance coordinate corresponding to the another information processing apparatus. The information processing apparatus then calculates an object's position in a virtual space based on the first and second posture information and the first and second distance coordinates.

Abstract: A system and method are disclosed for detecting road marking in a video using learned road marking templates. The system comprises a template learning module configured to learn the feature-based road marking templates from a set of training images. The template learning module is configured to rectify each training image, detect multiple regions of interest, and for each detected region of interest, detect multiple key points. The template learning module extracts feature vectors for the detected key points and builds the road marking templates from the feature vectors. The system also includes a road marking detection module for detecting road markings in a video at runtime using the learned road marking templates. During runtime, these templates are matched using a two-step process of first selecting promising feature matches and subsequently performing a structural matching to account for the shape of the road markings.

Abstract: Methods and systems for determining inspection scenarios without input from a user are presented. Inspection scenarios include at least one acquisition mode, defect detection parameter values, and classification parameter values. In one example, a number of defect events are determined by a hot inspection of a wafer surface. The defect events are classified and attributes associated with each defect event are identified. The defect events are labeled with this information. Based on the identified attributes and classification, inspection scenarios are determined. The inspection scenarios are solutions in a mathematical space formed by the identified attributes. In some examples, a plurality of inspection scenarios are determined and a desired inspection scenario is selected from the plurality based on the number of defects of interest and the number of nuisance events captured by the selected inspection scenario.

Abstract: In a method for processing an image file using a computing device, an image file from a storage system is read. If an image in the image file is slanted, an incision coordinates according to a configuration file in the storage system and a preset formula is calculated. The method incises the image using the calculated incision coordinates and storing the incised image in a new image file. If an image in the new image file is not slanted, the method further determines whether the image has been incised. If the image has been incised, the method records the calculated incision coordinates that make the image not be slanted as optimal incision coordinates, and stores the optimal incision coordinates into a database.

Abstract: An image processing system combines higher-resolution panchromatic images and lower resolution multispectral images using a hyperspherical color space pan-sharpening technique. By converting the multispectral images into a hyperspherical color space, the intensities of the multispectral images can be intensity matched to the intensities of the panchromatic image and then retransformed back to the original color space. The intensity matching can utilize a number of techniques, including, but not limited to, direct substitution of the intensities of the panchromatic image for the intensities of the multispectral images, modification of the intensities of the multispectral images based on predefined statistical models and modification of the intensities of the multispectral images based on dynamically generated statistical models and a selected sharpening parameter ?.

Abstract: A technology for creating an arbitrary viewpoint image with high quality based on pixel value information as seen from a single viewpoint and real spatial positional information has not been known. A hidden point is extracted based on a relative positional relationship between a single viewpoint closed surface projection point for arbitrary measurement point and neighboring projection point, a relative positional relationship between other viewpoint closed surface projection point for arbitrary measurement point and neighboring projection point, distance from arbitrary measurement point to another viewpoint, and distance from measurement point projected onto neighboring projection point on the other viewpoint closed surface to another viewpoint.

Abstract: A processing method for a pair of stereo images is provided. The method includes: extracting a pair of edge images from the stereo images, each edge image having edge pixels, each edge pixel of one of the edge images being associated with an overlap record and a disparity record; providing a plurality of image lateral shifts to sequentially determine a plurality of overlap levels between the pair of edge images; and updating the overlap record and the disparity record associated with a selected edge pixel to a maximum overlap level and a most-likely disparity, respectively. The maximum overlap level is a maximum among a plurality of associated overlap levels to which the selected edge pixel contributes. The most-likely disparity corresponds to the maximum overlap level.

Abstract: An image processing apparatus comprises: a division unit configured to divide an input image into a plurality of color regions based on a color difference; a color gradient information calculation unit configured to calculate color gradient information at a boundary between the divided color regions from color information of the input image; an attribute determination unit configured to determine a gradation attribute representing a characteristic of a color gradient at the boundary using the color gradient information; and a vectorization target determination unit configured to determine, based on the gradation attribute of the boundary determined by the attribute determination unit, whether the input image is a vectorization target.

Abstract: A mechanism is provided for identifying one or more eligible image candidates. Responsive to a determination that the storage of a recently captured image raising an allocated captured images memory space in a storage to a point that storage of a next captured image would raise the allocated captured images memory space in the storage above the predetermined threshold, a criteria group in a set of criteria groups is identified to utilize for identification of one or more images candidates from a set of stored images in the storage. The one or more images candidates from the set of stored images in the storage are identified utilizing one or more image identification criteria in the criteria group. The one or more image candidates are then presented to a user.