Abstract: Provided are a feature transformation device and others enabling feature transformation with high precision.

Abstract: An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points from the template image are then matched to the feature points in the test image. An additional matching technique boosts the number of points that match each other. The additional points improve the match quality and help discriminate true from false positive matches.

Abstract: A novel disparity computation technique is presented which comprises multiple orthogonal disparity maps, generated from approximately orthogonal decomposition feature spaces, collaboratively generating a composite disparity map. Using an approximately orthogonal feature set extracted from such feature spaces produces an approximately orthogonal set of disparity maps that can be composited together to produce a final disparity map. Various methods for dimensioning scenes and are presented. One approach extracts the top and bottom vertices of a cuboid, along with the set of lines, whose intersections define such points. It then defines a unique box from these two intersections as well as the associated lines. Orthographic projection is then attempted, to recenter the box perspective. This is followed by the extraction of the three-dimensional information that is associated with the box, and finally, the dimensions of the box are computed. The same concepts can apply to hallways, rooms, and any other object.

Abstract: A data set may be compressed by predicting a value for the values of the data set. A comparative value may then be determined between a predicted value and an actual value for the particular points of the data set. The comparators for the particular points of the data set may then be encoded.

Abstract: A two-dimensional code is attached to a location of a reagent storage unit which is visually recognizable from the outside, and a coordinate position of the two-dimensional code in a coordinate system of the two-dimensional code and coordinate information of an installation position of a reagent bottle are held. After that, an image of the two-dimensional code is captured by a portable terminal so that a coordinate system of an image capture unit of the portable terminal is converted into the coordinate system of the two-dimensional code using AR technology. The coordinate information of the installation position of the reagent bottle in the coordinate system of the two-dimensional code is regarded as positional coordinates in the captured image on the basis of the conversion, thereby ascertaining the position of the reagent bottle on the captured image and displaying the ascertained position on a display unit.

Abstract: Methods and systems for creating an image-based measurement model based only on measured, image-based training data are presented. The trained, image-based measurement model is then used to calculate values of one or more parameters of interest directly from measured image data collected from other wafers. The image-based measurement models receive image data directly as input and provide values of parameters of interest as output. In some embodiments, the image-based measurement model enables the direct measurement of overlay error. In some embodiments, overlay error is determined from images of on-device structures. In some other embodiments, overlay error is determined from images of specialized target structures. In some embodiments, image data from multiple targets, image data collected by multiple metrologies, or both, is used for model building, training, and measurement. In some embodiments, an optimization algorithm automates the image-based measurement model building and training process.

Abstract: An image processing apparatus circuitry receives first image data from a first image capture device of an area adjacent to an automobile and also receives second image data from a second image capture device of the adjacent area. The circuitry combines the first image data with the second image data to form composite image data of a junction region of the at least a portion of the adjacent area. The circuitry changes over time respective image areas taken from the first image capture device and second image capture device to form the composite image data of the junction region.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content communicating, rendering, generating, hosting and/or providing systems supported by or configured with computing devices, servers and/or platforms. The systems interact to improve the quality of data used in processing interactions between or among processors in such systems for determining obscured portions of displayed digital content. The disclosed method and apparatus involve acquiring and recording coordinates of each pixel in a digital image, and marking the pixels located at a boundary of the image as boundary pixels. The pixels located at a first region block are extracted and marked as obstruction pixels. An obstructed cutting space area corresponding to each pixel is determined based on positional relations of each pixel in the image. An image obstruction score is calculated based on the cutting space areas and utilized for rendering the pixels of the image.

Abstract: A tire inspection line includes first and second inspection posts and a transfer apparatus. The first post is for macroscopic inspection and includes a driver for rotating a tire, a macro-image acquisition device for acquiring a macroscopic image of the tire, and a first processor for analyzing the macroscopic image by digital image processing, comparing the macroscopic image with a reference image, and detecting deviations in shape. The second post is for microscopic inspection and includes a driver for rotating the tire, a micro-image acquisition device for acquiring a microscopic image of the tire, and a second processor for analyzing the microscopic image by digital image processing, comparing the microscopic image with a reference image representing a desired surface condition of the tire, and detecting local surface deviations. The transfer apparatus is for transferring the tire from the first post to a discharge point or to the second post.

Abstract: A device and method for three-dimensional reconstruction of a scene by image analysis is provided. This device comprises an image acquisition device to capture images of the scene, an analysis device to calculate a three-dimensional reconstruction of the scene from at least one image of the scene taken by the image acquisition device, and a projection device to project a first light pattern and a second light pattern, which are complementary, on the examined scene, the first light pattern and the second light pattern being projected along separate projection axes forming a non-zero angle between them, so as to be superimposed while forming a uniform image with homogenous intensity in a projection plane.

Abstract: A method for face recognition in the video comprises: performing feature extraction on a target face in multiple image frames in the video to generate multiple face feature vectors respectively corresponding to the target face in the multiple image frames; performing time sequence feature extraction on the plurality of face feature vectors to convert the plurality of face feature vectors into a feature vector of a predetermined dimension; and judging the feature vector of the predetermined dimension by using a classifier so as to recognize the target face.

Abstract: A facial recognition apparatus comprises a photographing parameter input unit that receives a photographing parameter(s); a lighting information estimation unit that estimates lighting information based on the photographing parameter(s); and a recognition accuracy control unit that controls a recognition accuracy parameter(s) based on the lighting information.

Abstract: An information processing apparatus includes an image acquisition unit, variation amount deriving unit, acquisition unit, and threshold value deriving unit. The image acquisition unit acquires a captured image obtained by an imaging unit. The variation amount deriving unit derives a luminance value variation amount of a predetermined area of the acquired captured image based on a luminance value of the predetermined area and first information indicating a relationship between a captured image luminance value and an amount of luminance value variation. The acquisition unit acquires an amount of variation of a luminance gradient value based on the derived amount of variation of the luminance value, wherein the luminance gradient value is a gradient value of the luminance value. The threshold value deriving unit derives a threshold value with which an obtained luminance gradient value is to be compared, based on the acquired amount of variation of the luminance gradient value.

Abstract: A method photo-based positioning includes obtaining a positioning photo taken by a mobile device within a predetermined space; comparing multiple feature elements exacted from sampling photos taken within the predetermined space in advance with the positioning photo to determine each feature element existing in the positioning photo; obtaining a first position coordinate of each feature element which is determined to exist in the positioning photo in a sampling photo corresponding to the positioning photo, and a second position coordinate of each feature element which is determined to exist in the positioning photo in the positioning photo; and calculating position parameters of the mobile device by using each of the obtained first position coordinate and second position coordinate, wherein the least number of feature elements existing in the positioning photo is determined according to the number of the position parameters.

Abstract: A biometric information process device includes: an image device configured to capture an image of an object; a memory; and a processor coupled to the memory and the processor configured to execute a process, the process comprising: detecting a touch point of the object with respect to a touch panel; extracting a biometric feature from the image of the object that is acquired by the image device; and correcting biometric information acquired from the image of the object based on a movement amount of the object on the touch panel and a movement amount of the biometric feature in the image of the object when the touch point detected in the detecting moves.

Abstract: A structured illumination microscope device includes acquisition unit that repeats a series of processing steps including controlling a combination of a wave vector and phase of fringes and acquiring N images; and computing unit in which processing for demodulating the image of the sample using a required M types of images from an image set of consecutive P images. The M types of images include: Q types (where Q?3) of modulated images; and one type of modulated image having the wave vector in common with and the phase differing from at least one among the Q types of modulated images, or one unmodulated image. An arrangement of the N images satisfies the uniformity condition, meaning “intensity distribution of the fringes is spatially uniform when accumulated between the N images” and the refresh condition, meaning “the M types of images are always included in the image set”.

Abstract: Systems and methods of generating a compact visual vocabulary are provided. Descriptor sets related to digital representations of objects are obtained, clustered and partitioned into cells of a descriptor space, and a representative descriptor and index are associated with each cell. Generated visual vocabularies could be stored in client-side devices and used to obtain content information related to objects of interest that are captured.

Abstract: According to examples of the presently disclosed subject an active triangulation system includes an active triangulation setup and a calibration module. The active triangulation setup includes a projector and a sensor. The projector is configured to project a structured light pattern that includes a repeating structure of a plurality of unique feature types and a plurality of markers distributed in the projected structured light pattern, where an epipolar distance between any two epipolar lines which are associated with an appearance in the image of any two respective markers is greater than a distance between any two distinguishable epipolar lines. The sensor is configured to capture an image of a reflected portion of the projected structured light. The calibration module is configured to determine an epipolar field for the active triangulation setup according to locations of the markers in the image, and to calibrate the active triangulation setup.

Abstract: A method that incorporates teachings of the subject disclosure may include, for example, determining, by a system comprising a processor, more common features of a plurality of images according to similarity matrices indicating relative similarities between instances of common features occurring within multiple images of the plurality of images, defining, by the system, cluster groups associated with the more common features, where each cluster group comprises cluster images of the plurality of images, and where the more common features are present in each the cluster images, and performing, by the system, quality-based filtering on the cluster images to identify a target cluster image to represent the cluster images for each of the cluster groups. Other embodiments are disclosed.

Abstract: An example method of recovering a planar projection in a captured image. The example method includes selecting displaced points in the captured image. The example method also includes recovering an affine transform of a quasi-periodic object for each of the displaced points based on peak locations of Discrete Fourier Transform (DFT) of the captured image. The example method also includes combining each of the affine transforms for the displaced points to recover the planar projection and correct for perspective distortion in the captured image.