Abstract: A resolution of a low resolution depth image is increased by applying joint geodesic upsampling to a high resolution image to obtain a geodesic distance map. Depths in the low resolution depth image are interpolated using the geodesic distance map to obtain a high resolution depth image. The high resolution image can be a gray scale or color image, or a binary boundary map. The low resolution depth image can be acquired by any type of depth sensor.

Abstract: In embodiments of photo importance determination, a photo analyzer is implemented to analyze the image content of each photo in a set of digital photos, and determine similar photos based on the image content and metadata of the digital photos. The photo analyzer can then create stacks of the similar photos and determine a representative photo from the similar photos in each stack. The photo analyzer can then determine a display sequence to display non-stacked photos and the representative photos of each stack. The photo analyzer can also receive viewer feedback associated with the digital photos being displayed for viewing, and then determine a different representative photo from the similar photos in each of the stacks based on the viewer feedback. The photo analyzer can also determine a revised display sequence of the non-stacked photos and the representative photos of the stacks based on the viewer feedback.

Abstract: Disclosed herein are methods and systems for creating stereoscopic images. A left-eye view image for a stereoscopic image and an imperfect right-eye view image may be received. A smooth optical flow may be generated from the received image representing the left-eye view to the imperfect image representing the right-eye view to produce a first candidate right-eye view. Objects are identified in the imperfect image, and merged into the first candidate right-eye view image to create a right-eye view image. A stereoscopic image is created from the left-eye view image and right-eye view image.

Abstract: A system and method of assigning diacritics in an electronic image using optical character recognition (OCR) is disclosed. In one example, the method comprises analyzing, by a computer system, the electronic image to generate a plurality of bounding blocks associated with text lines within the electronic image. The method further comprises establishing a plurality of bounding boxes for diacritics and base text with the electronic image. The method also comprises determining a distance from a diacritic to a nearest base text character and a nearest text line. The method also comprises evaluating a base box distance and the nearest text line distance to assign the diacritic to a correct text line in the electronic image.

Abstract: The techniques and systems described herein are directed to isolating part-centric motion in a visual scene and stabilizing (e.g., removing) motion in the visual scene that is associated with camera-centric motion and/or object-centric motion. By removing the motion that is associated with the camera-centric motion and/or the object-centric motion, the techniques are able to focus motion feature extraction mechanisms (e.g., temporal differencing) on the isolated part-centric motion. The extracted motion features may then be used to recognize and/or detect the particular type of object and/or estimate a pose or position of a particular type of object.

Abstract: A computer system may elicit from a human observer ground truth data useful in automatically detecting one or more features in images. The elicitation may include presenting an image to a human observer that has a visual indicator in an image, the visual indicator indicating having a location and orientation with respect to the image; asking the human observer to judge whether a particular image feature is present in the image at the location and orientation indicated by the visual indicator; receiving input from the human observer indicative of whether the particular image feature is present at the location and orientation indicated by the visual indicator; storing the input received from the human observer as part of the human-labeled ground truth data; and repeating the process described above one or more times in connection with a visual indicator that has a different location or orientation with respect to the image or that uses a different image.

Abstract: Disclosed herein is an image processing apparatus including an upper body feature data storage unit (110) which stores upper body directional feature data, which indicates the upper body of a person and indicates that the upper body is facing a specific direction, for each of a plurality of directions in conjunction with directional data indicative of the direction of the upper body directional feature data; and an upper body detection unit (140) which extracts upper body image data indicative of the upper body of the person from image data by reading the plurality of upper body directional feature data stored in the upper body feature data storage unit (110) in conjunction with the directional data and using each of the plurality of upper body directional feature data.

Abstract: The present disclosure provides a method including providing a first image and a second image. The first image is of a substrate having a defect and the second image is of a reference substrate. A difference between the first image and the second image is determined. A simulation model is used to generate a simulation curve corresponding to the difference and the substrate dispositioned based on the simulation curve. In another embodiment, the scan of a substrate is used to generate a statistical process control chart.

Abstract: A system and method extract a plurality of three dimensional identification minutiae from a three dimensional image of a biometric identification feature. The extracted three dimensional identification minutiae from the three dimensional image may be compared to one or more sets of three dimensional identification minutiae to determine an identification and/or confirm an identification. In a preferred embodiment, the system and method extract three dimensional identification minutiae from a three dimensional image of a fingerprint, and compare the extracted three dimensional identification minutiae from the fingerprint to one or more sets of three dimensional identification minutiae associated with previously classified fingerprints to determine and/or confirm an identification.

Abstract: The invention relates to a method and system for remotely determining an absolute azimuth of a target point (B) by ground means, via the creation of an image bank georeferenced in the absolute azimuth only from a first point (P1) and the use of this image bank as an azimuth reference from a second point (P2) having a visual environment at least in part the same as the visual environment of the first point (P1).

Abstract: A system and method for creating a table from one or more form images is described. An Image Based Document Management (IBDM) server includes a stroke identification module, an image generator, a table generator and a preference module. The stroke identification module receives completed form data from one or more forms with handwriting fields, media fields and symbolic fields. The image generator generates field images that are a combination of handwriting fields, media fields and symbolic fields. The user preference module determines a user preference for displaying the table. The table generator generates a table from the field images based on the user preference.

Abstract: Implementations relate to estimating noise in images. In some implementations, a method includes extracting a plurality of sample blocks of pixels from a received image, where each sample block includes a subset of pixels of the image. One or more of the sample blocks are examined for texture content based on whether the sample blocks include one or more edges based on a predetermined threshold. At least one sample block determined to include texture content is removed. The method determines one or more average color variances based on the remaining sample blocks that have not been removed, where noise estimations for the image are based on the average color variances.

Abstract: Sensory input processing apparatus and methods useful for adaptive encoding and decoding of features. In one embodiment, the apparatus receives an input frame having a representation of the object feature, generates a sequence of sub-frames that are displaced from one another (and correspond to different areas within the frame), and encodes the sub-frame sequence into groups of pulses. The patterns of pulses are directed via transmission channels to detection apparatus configured to generate an output pulse upon detecting a predetermined pattern within received groups of pulses that is associated with the feature. Upon detecting a particular pattern, the detection apparatus provides feedback to the displacement module in order to optimize sub-frame displacement for detecting the feature of interest.

Abstract: To improve the precision with which a false finger formed by attaching a transparent thin film to a surface of a finger is identified, a fingerprint authentication system includes: an image division unit 31 that divides a captured image of an authentication subject to be subjected to fingerprint authentication into a plurality of small regions; a frequency analysis unit 32 that performs a frequency analysis on each of the small regions; a ridge candidate extraction unit 33 that extracts frequency components corresponding to ridge candidates in the small regions from frequency components obtained in the frequency analysis; a continuous ridge candidate group generation unit 34 that compares the ridge candidates between adjacent small regions, and when the ridge candidates satisfy a condition enabling the ridge candidates to be determined continuous, generates a continuous ridge candidate group including the ridge candidates; and a determination unit 35 that determines that an abnormality exists in the image whe

Abstract: A motion estimation method is provided, which includes following steps: dividing a first frame to be estimated into a plurality of area units, in which each of the area units includes a plurality of blocks; and assigning a set of motion vector values to each of the area units, in which the set of motion vector values includes a plurality of predetermined motion vector values, and each of the predetermined motion vector values is assigned to at least one block in each of the area units.

Abstract: According to one embodiment, a device includes a search module configured to search handwriting information stored in a storage medium for a first handwriting information part whose degree of a similarity with a specific handwriting information part specified as a search key is greater than or equal to a reference value, the handwriting information includes a plurality of stroke data corresponding to a plurality of strokes, and a display processing module configured to display, on a touchscreen display, one or more thumbnail corresponding to handwriting information includes the first handwriting information part and a first user interface for changing the reference value.

Abstract: A system for determining cumulative tow gap width includes an in-process vision system having at least one camera adapted to record images of a composite material and a data analysis computer communicating with and adapted to receive image data from the in-process vision system. The data analysis computer may be adapted to calculate a cumulative gap width of tow gaps in the composite material. A user interface may communicate with and be adapted to receive data analysis results from the data analysis computer. A method for determining cumulative tow width gap of tow gaps in a composite structure is also disclosed.

Abstract: Disclosed is a method of sequencing character information in order to increase precision of character recognition. The method includes: a pre-processing that extracts character information from an image to binarize the extracted character information through a predetermined threshold and extracts and thins a center line of the binarized character information; normalizing the pre-processed character information to character information according to a predetermined criteria; and sequencing the normalized character information using structural features including an end point or a divergence point of the character information. The present invention suggests an angle normalization method of input character information, a structural feature position determining method, and a structural feature numeral string generating method to strongly recognize characters configured by various fonts obtained from a natural scene regardless of an angle or a size of the characters.

Abstract: The present disclosure provides a microscopic vision measurement method based on the adaptive positioning of the camera coordinate frame which includes: calibrating parameters of a microscopic stereo vision measurement model (201); acquiring pairs of synchronical images and transmitting the acquired images to a computer through an image acquisition card (202); calculating 3D coordinates of feature points in a scene according to the matched pairs of feature points in the scene obtained from the synchronical images and the calibrated parameters of the microscopic stereo vision measurement model (203); and performing specific measurement according to the 3D coordinates of the feature points in the scene (204). With the method, the nonlinearity of the objective function in the microscopic vision calibration optimization is effectively decreased and a better calibration result is obtained.

Abstract: Methods, apparatuses and systems directed to calculating a probability that a user or set of users will engage with a multimedia object for customizing content in a social networking system. In one embodiment, a generative model representing all users is utilized to calculate the probability that all users will interact with a given multimedia object. In another embodiment, the same generative model is utilized to calculate a user-specific engagement probability for a given multimedia object. In particular embodiments, the generative model uses Bayesian probability. In particular embodiments, one or more policies are applied to the photos to customize the browsing experience for users.