Abstract: An image processing apparatus includes a line drawing conversion module configured to executes line drawing conversion of a source image, an image conversion module configured to form a plurality of divisional images having geometrical shapes, by connecting lines of a line drawing obtained by the line drawing conversion by the line drawing conversion module, and a coloring module configured to color, in specific colors, areas in the respective divisional images formed by the image conversion module.

Abstract: A method performed by a system. The method includes comparing at least one query image received from a mobile device with a plurality of planes stored in a memory, matching the query image with at least one of the plurality of planes, and determining a location based on the matching of the query image with the at least one plane. Comparing the at least one query image with the plurality of planes includes executing a warping function between the at least one query image and the plurality of planes to determine at least a first matching score for matching the at least one query image with at least one of the plurality of planes.

Abstract: Technologies pertaining to object detection are described herein. A cascaded classifier executes over subwindows of an image in a plurality of stages. A crosstalk cascade is employed to reject subwindows as being candidates for including an object that is desirably detected, where the crosstalk cascade is a combination of multiple cascades.

Abstract: An apparatus and method for estimating disparity based on a visibility energy model includes an energy calculator to calculate energy related to stereo matching of each of a left image and a right image which constitute a stereo image, a map generator to generate a visibility map for determining an error in disparity between the left image and the right image using the energy, an energy recalculator to recalculate energy with respect to a region including a visibility error generated due to the error in disparity in the visibility map, and a disparity determiner to determine disparity from the stereo image using recalculated energy of each of the left image and the right image.

Abstract: Systems, methods, and apparatus for detecting a live human face in an image are disclosed. The methods, systems, and apparatus are capable of capturing an image of a verification pattern that has been reflected from a defined region of interest of a user's eye. The captured image can be compared to the emitted verification pattern to determine whether the captured reflection matches the emitted pattern and is within the region of interest to verify a live user of an electronic device.

Abstract: A method for identifying characters in scanned images of objects includes identifying a first set of characters in a scanned image of an object based on connected component analysis, identifying a second set of characters for the object based on an optical character recognition (OCR) process on the image of the object, and combining the first set of characters with the second set of characters to create a third set of characters.

Abstract: A method of describing inter-character spacing in a font file. The method includes receiving a plurality of glyphs associated with textual content, and determining a corresponding advance value for each of the plurality of glyphs, the corresponding advance value being based on a distance between a respective glyph and a next glyph following the respective glyph. The method further includes storing the corresponding advance value for each of the plurality of glyphs in an advance table of the font file, and generating an electronic document for the textual content based on the plurality of glyphs and the font file.

Abstract: The present disclosure can provide apparatus, system, methods, and computer-accessible medium for generating particular information which is at least one of three-dimensional information or intensity information of a tissue portion which can include at least one of a tissue surface or a tissue volume. For example, the exemplary method can include determining a light intensity distribution of light provided on the tissue portion, using the light intensity distribution, determining one or more attenuation maps of the tissue portion, obtaining one or more multispectral measurements of the light intensity distribution on the tissue portion taken from one or more views, and generating the particular information using an image reconstruction procedure in conjunction with data from the one or more tissue attenuation maps and the multispectral measurements.

Abstract: An image processing device that generates a pixel value of a pixel and interpolates the pixel with the pixel value, the image processing device including: a periodicity determining unit that determines whether an area including the pixel is a periodic area; a boundary determining unit that determines whether the pixel belongs to the periodic area or a non-periodic area; a first pixel value generating unit that generates a first pixel value; a second pixel value generating unit that generates a second pixel value; a control unit that determines whether the first pixel value generating unit is to be used or the second pixel value generating unit is to be used, based on determination results of the periodicity determining unit and the boundary determining unit; a pixel value inputting unit that inputs one of the first pixel value and the second pixel value to the pixel.

Abstract: The disclosure relates to a system and a method for generating clothing feature data representative of at least one clothing feature of a piece of clothing being worn by the person in a set of images, and training a discriminative clothing classifier using the clothing feature data to provide a personal clothing model that corresponds to the piece of clothing. The personal clothing model can be used to identify additional images in which the person appears.

Abstract: There is provided an information processing apparatus including an image acquisition unit configured to acquire images captured from a plurality of observation points for a predetermined object, a feature point extraction unit configured to extract a feature point in each of the images acquired by the image acquisition unit, a correspondence relationship acquisition unit configured to acquire a correspondence relationship of the feature points based on images from among adjacent observation points, and an information presentation unit configured to quantitatively present information about the correspondence relationship acquired by the correspondence relationship acquisition unit.

Abstract: Machines, systems and methods for character recognition disambiguation are provided. The method comprises selecting a first set of characters that match a first visual profile based on results of a character recognition process applied to target content; selecting a subset of the first set based on criteria associated with at least one of confidence level with which characters grouped in the subset are recognized or fragmentation associated with the characters grouped in the subset; and disambiguating recognition results for the characters grouped in the subset by displaying the characters along with context information, wherein reviewing two or more of the characters on a display screen along with context information associated with said two or more characters allows a human operator to select one or more suspect characters from among the two or more characters.

Abstract: A facial validation sensor includes an imaging element, a validating unit and a feedback unit. The validating unit performs validation of an individual to be validated based on facial image data of the individual, imaged by the imaging element, and facial image data registered in advance. The feedback unit guides a face of the individual to be within an imaging range that is imaged by the imaging element. The feedback unit is an indicator providing unit that provides an indicator that is viewable from a specific direction within the imaging range that is imaged by the imaging element.

Abstract: A method for browsing a collection of digital images on a soft-copy display comprising: receiving a collection of digital images; interactively user selecting a digital image using a user interface; determining a plurality of subsets of the digital images, wherein each subset shares a common category with the selected digital image; and displaying the subsets of digital images on the soft-copy display, together with the selected digital image.

Abstract: An adaptive filter includes: an edge direction detection section which discriminates directionality of an input image in each of a plurality of unit regions constituting the input image; a region classification section which classifies the each of the plurality of unit regions into one of a plurality of unit region groups in accordance with to which of a plurality of predetermined groups the directionality of the input image in the each of the plurality of unit regions belongs, the directionality having been discriminated by the edge direction detection section; and a filter process section which calculates a pixel value of the each pixel of an output image by use of a filter coefficient group optimized for a unit region group to which a unit region including the each pixel belongs.

Abstract: The subject disclosure is directed towards a face detection technology in which image data is classified as being a non-face image or a face image. Image data is processed into an image pyramid. Features, comprising pixel pairs of the image pyramid, are provided to stages of a cascading classifier to remove sub-window candidates that are classified as non-face sub-windows within each stage. The face detection technology continues with one or more subsequent stages to output a result as to whether the image contains a face.

Abstract: According to one embodiment, an electronic apparatus includes a display processor, and a correction calculator. The display processor is configured to display strokes corresponding to coordinates of loci of contact points on a display. The correction calculator is configured to calculate a correction direction and a correction quantity to correct a coordinate, by using a position of a first handwritten character recognizable from the strokes and a position of a second handwritten character recognizable from the strokes.

Abstract: A method for face detection includes capturing a depth map and an image of a scene and selecting one or more locations in the image to test for presence of human faces. At each selected location, a respective face detection window is defined, having a size that is scaled according to a depth coordinate of the location that is indicated by the depth map. Apart of the image that is contained within each face detection window is processed to determine whether the face detection window contains a human face. Similar methods may also be applied in identifying other object types.

Abstract: An apparatus and a computer implemented method compare a first representation of an identifier with a second representation of an identifier to establish a likelihood ratio considering the probability the first representation and second representation originate from the same identifier and the probability of the first representation and second representation originate from different identifiers. The approach generates one or more variant expressions from the first representation, second representation and other representations. A boundary around the expression of the second representation is used to establish the number of the variant expressions of the expression of the first representation within it and the number of variant expressions of the expressions of the other representations within it and so provide the measure of comparison between the first representation of the identifier and the second representation of the identifier from the first value and second value.

Abstract: A multimodal biometric identification system captures and processes images of both the iris and the retina for biometric identification. Another multimodal ocular system captures and processes images of the iris and/or the from both eyes of a subject. Biometrics based on data provided by these systems are more accurate and robust than using biometrics that include data from only the iris or only the retina from a single eye. An exemplary embodiment emits photons to the iris and the retina of both eyes, an iris image sensor that captures an image of the iris when the iris reflects the emitted light, a retina image sensor that captures an image of the retina when the retina reflects the emitted light, and a controller that controls the iris and the retina illumination sources, where the captured image of the iris and the captured image of the retina contain biometric data.