Abstract: A method is provided for reconstructing a three dimensional image, comprising: providing a pair of stereoscopic images captured by two image capturing devices; retrieving disparity data from the pair of stereoscopic images; using retrieved disparity data to determine contours of an object present in the pair of the stereoscopic images captured; selecting a pixel belonging to that object; establishing a search area at the vicinity of the selected pixel; determining values for various disparity candidates, wherein the determined values correspond to one or more chosen hypothesis associated with the search area; testing the one or more chosen hypothesis and selecting an hypothesis which best fits the selected pixel and its neighboring pixels; executing a stereo matching algorithm using data retrieved from the captured images while using the values of disparity candidates that correspond to the chosen hypothesis; and reconstructing the three dimensional image based on the results obtained.

Abstract: The present invention is a verification method comprising: designating as a verification area at least a part of a predetermined area of an article that has a textured pattern provided thereto, and previously storing at least one or more image features of the textured pattern of the verification area; acquiring the image feature of the textured pattern that is provided to the verification area of an article to be verified; and verifying the article to be verified by using the acquired image feature and the stored image features.

Abstract: A method for performing photogrammetric 3D reconstruction of objects imaged in a sequence of images, the images containing distinct regions representing imaged radiation in respective distinct wavelengths, the method having the steps: selecting a plurality of subsets from the sequence of images, each one of the plurality of subset containing a plurality of images, each image of which represents a field of view that overlaps with a field of view of at least one other image in the same subset; generating a set of intermediate 3D models by performing photogrammetric 3D reconstruction on the images in respective ones of the subsets; and recombining the intermediate 3D models from the set of 3D models into a combined 3D model.

Abstract: A method for controlling unlocking is provided. The method includes the following operations. A touch operation of a finger of user on a fingerprint recognition sensor of a terminal is detected. A first fingerprint image is received according to a preset capacity auto control (CAC) parameter corresponding to a default finger, the finger of the user is in the steady state. N second fingerprint images are received according to N sets of CAC parameters; N is an integer greater than 1. A target fingerprint image is determined and matched. The terminal is unlocked when the target fingerprint image is matched.

Abstract: A method includes obtaining first color information for each of a plurality of first samples of a first target color with a color measurement device connected to a computing device including a display. A digital color image of at least one first target color is displayed on the display. An offset value for each first target color is determined such that the digital color image of each first target color matches the corresponding first target color on each of the first samples. A second sample including a second target color is scanned to obtain second color information. A processor of the computing device determines, using the offset values of the first target colors, an interpolated offset for the display such that the digital image of the second target color matches the second tar get color.

Abstract: Provided is an image processing device including a first rearrangement unit configured to rearrange first divided image data, which is image data corresponding to respective first divided regions obtained by dividing images to be processed represented by processing target image data in the horizontal direction and in the vertical direction, for each of second divided regions, obtained by dividing the images to be processed composed of a plurality of the first divided regions, in an order corresponding to the respective second divided regions, a compression processing unit configured to compress respective pieces of second divided image data, which are image data corresponding to the respective second divided regions, by performing a transform in a predetermined scheme, quantization, and variable length encoding on the data, and a second rearrangement unit configured to rearrange the compressed second divided image data in an order corresponding to all of the images to be processed.

Abstract: The present disclosure provides a method and a device for inspecting a defect of a liquid crystal panel.

Abstract: Disclosed are an apparatus of recognizing a position of a mobile robot using edge based refinement and a method thereof. An apparatus of recognizing a position of a mobile robot includes two wide angle cameras which obtain one pair of stereo images on a region of interest including a vertical direction and a horizontal direction in accordance with movement of a mobile robot; and a position recognizing unit which extracts an edge from the obtained stereo images, projects each seed in a key frame selected based on the extracted edge onto the stereo images, updates a status parameter indicating rotation and movement of an optical camera along a direction in which the calculated cost is increased in accordance with the projected seed, and estimates a current position using the updated result.

Abstract: The method of estimating a quality index of a gray-scale encoded three-dimensional image of a composite material part includes an obtaining step for obtaining a histogram from the image, the histogram representing for each class of a plurality of classes each including at least one gray-scale level, the number of voxels of the image having a gray-scale level belonging to the class; an extraction step for extracting a predetermined number of Gaussian functions present in the histogram; and an estimation step for estimating at least one quality index of the image from parameters characterizing the Gaussian functions extracted from the histogram.

Abstract: A method for box filtering includes obtaining, by a computing device, a form image, and identifying, by the computing device, a region of the form image that includes boxes. Vertical lines in the region of the form image are detected. The boxes in the region are detected according to the plurality of vertical lines, and image content is extracted from the boxes.

Abstract: An embodiment provides a method, including: accepting, at an input surface, handwriting input; identifying, using one or more processors, one or more characters included in the handwriting input; modifying one or more of the one or more characters included in the handwriting input to match penmanship; and rendering, on a display device, the handwriting input including one or more modified characters. Other aspects are described and claimed.

Abstract: Embodiments of the present invention disclose a transmission method, where the method includes: starting a session between a terminal and a peer terminal; detecting whether information transmitted in the session satisfies a trigger condition; and if the information satisfies the trigger condition, acquiring an image, and sending the image to the peer terminal, where the information transmitted in the session includes text information or voice information. According to the present invention, information transmission efficiency can be improved.

Abstract: A method for assembling single images recorded by a camera system from different positions, to form a common image, including providing a first projection surface having a first geometric shape and a second projection surface having a second geometric shape; every point of the first projection surface having an associated point on the second projection surface; acquiring positional information that describes a configuration of objects shown in the single images relative to the camera system; reshaping the first geometric shape of the first projection surface on the basis of the acquired positional information; assigning texture information pertaining to the single images to surface regions of the reshaped first projection surface; transferring texture information from the points of the first projection surface to the respective, associated points of the second projection surface; and producing the common image from a view of the second projection surface.

Abstract: Provided are systems and techniques that provide an output phrase describing an image. An example method includes creating, with a convolutional neural network, feature maps describing image features in locations in the image. The method also includes providing a skeletal phrase for the image by processing the feature maps with a first long short-term memory (LSTM) neural network trained based on a first set of ground truth phrases which exclude attribute words. Then, attribute words are provided by processing the skeletal phrase and the feature maps with a second LSTM neural network trained based on a second set of ground truth phrases including words for attributes. Then, the method combines the skeletal phrase and the attribute words to form the output phrase.

Abstract: This invention provides a method of face recognition and a device for implementing said method, the method comprising the steps of: (a) performing a face recognition algorithm on an image of a user to determine an identity of the user, the image having an illumination level; (b) determining if a reliability measurement of the identity of the user determined by the face recognition algorithm meets a threshold indicating reliable identification and, if the reliability measurement is below the threshold indicating reliable identification; (c) receiving a new image of the user, the new image having an adjusted illumination level; and (d) performing a further face recognition algorithm on the new image of the user to determine the identity of the user.

Abstract: A control device defines, for three-dimensional blood vessel data of a blood vessel corresponding to a branched center line, a cylindrical coordinate system, thereby converting this into blood vessel data in an orthogonal coordinate system. The control device uses a coordinate value of the coordinate axis in a radial direction at a first coordinate value of the coordinate axis in a center line direction and a coordinate value of the coordinate axis in the radial direction at a second coordinate value of the coordinate axis in the center line direction, thereby interpolating a coordinate value of the coordinate axis in the radial direction between the first coordinate value and the second coordinate value. The control device converts, after interpolation, the blood vessel data into blood vessel data in the cylindrical coordinate system.

Abstract: An image processing apparatus includes a reception unit, an acquisition unit, an enlarging/reducing unit, and a detector. The reception unit receives two image data to be compared. The acquisition unit acquires character sizes of characters contained in the two image data received by the reception unit. The enlarging/reducing unit enlarges or reduces the image data received by the reception unit such that the character sizes of the characters contained in the two image data acquired by the acquisition unit coincide with each other. The detector detects a difference between the two image data which have been enlarged or reduced by the enlarging/reducing unit such that the character sizes of the characters contained in the two image data coincide with each other.

Abstract: Disclosed are methods for quantitatively predicting the severity of a tumor in a subject. In some embodiments, the methods further comprise selecting a course of therapy for the subject. In some embodiments, the tumor comprises is non-small cell lung cancer.

Abstract: Systems and methods are disclosed for generating georeference information with respect to aerial images. In particular, in one or more embodiments, systems and methods generate georeference information relating to aerial images captured without ground control points based on existing aerial images. For example, systems and methods can access a new set of aerial images without ground control points and utilize existing aerial images containing ground control points to generate a georeferenced representation corresponding to the features of the new set of aerial images. Similarly, systems and methods can access a new image without ground control points and utilize an existing georeferenced orthomap to produce a georeferenced orthomap corresponding to the features of the new image. One or more embodiments of the disclosed systems and methods permit users to obtain georeference information related to new images without the need to place ground control points or collect additional georeference information.

Abstract: A method for controlling unlocking is provided. The method includes the following operations. Determine whether a finger of a user is in a steady state when a touch operation of the finger on a fingerprint recognition sensor of a terminal is detected. A first fingerprint image according to capacity auto control (CAC) parameters corresponding to a wet finger is received when the finger of the user is in the steady state. N second fingerprint images corresponding to N sets of CAC parameters are received during the receiving of the first fingerprint image. A target fingerprint image is determined and a fingerprint comparison is performed on the target fingerprint image. Unlock the terminal when detecting that the result of the fingerprint comparison is a match.