Abstract: A physiological state determination system includes a CPU and a camera. The camera acquires a photographic image data of a time-series change in facial data of a subject to which brain function activation information that activates human brain function was provided. The CPU determines a mental or physical physiological state of the subject based on facial change information corresponding to the photographic image data.

Abstract: A traffic light recognition device includes: a camera that captures an image around a vehicle; a map information acquisition unit configured to acquire map information around the vehicle; a self-position detector configured to detect the position of a self-position on a map; a traffic light position estimator configured to estimate the position on an image of a traffic light on the basis of the self-position and the map information; a vehicle behavior estimator configured to estimate a vehicle behavior; a traffic light detection area calculator configured to set a detection area of the traffic light onto the image based on the estimated position on the image of the traffic light and an amount of displacement of the position on the image of the traffic light due to a behavior of the vehicle; and a traffic light recognition unit configured to detect a traffic light from the detection area.

Abstract: The present invention relates to an optical coherence tomography method, comprising: providing a beam of imaging radiation from a radiation source of an optical coherence tomography apparatus; directing, using directing optics, the beam of imaging radiation towards a fundus of a human or animal eye; and receiving a reflected portion of the imaging radiation by the optical coherence tomography apparatus; wherein the method further comprises: providing, by a tracking camera, a tracking image of an image area covering at least a part of said fundus; analyzing the tracking image for detecting a displacement of the fundus; and adapting, at least dependent on the detected displacement, a direction of the beam of imaging radiation by actuating an optical correction unit of said direction optics; and in addition to said adapting of the direction of the beam of imaging radiation, adapting a location of the image area on said fundus imaged by the tracking camera at least dependent on the detected displacement.

Abstract: Systems and methods for assigning word fragments to lines of text in optical character recognition (OCR) extracted data can include at least one processor obtaining a plurality of word fragments from OCR generated data associated with an image. The at least one processor can determine vertical coordinates of each of the word fragments in the image. The at least one processor can cluster the plurality of word fragments into one or more clusters of word fragments based on the vertical coordinates of the plurality of word fragments. The at least one processor can assign each word fragment of a respective cluster to a corresponding text line based on the clustering.

Abstract: The present disclosure relates to a flat panel display having an optical imaging sensor such as a fingerprint image sensor. The present disclosure provides a flat panel display having an image sensor comprising: a display panel including a display area and a non-display area, the display panel having a top surface; a directional optical unit attached to the top surface of the display panel, the directional optical unit having a length along a length axis of the display panel, a width along a width axis of the display panel and a thickness along a thickness axis of the display panel; a sensing light control film disposed under the display panel; and an image sensor disposed under the sensing light control film.

Abstract: The present disclosure relates to the prediction of part and material quality of Additive Manufacturing (AM) processes using layer based images. Described herein are methods and systems for detection of errors in parts built by AM processes such as Selective Laser Melting (SLM). The detection comprises analysis of optical images to identify errors which appear in layers during the AM build process. Errors include but are not limited to warpage of parts and dross formation of overhang surfaces.

Abstract: Provided are a regulation method, terminal equipment, and non-transitory computer-readable storage medium for automatic exposure control (AEC) of a region of interest. In the method, a luminance histogram of each color channel in a region of interest is obtained based on statistics on luminance of a plurality of sub-region blocks in the region of interest; a first luminance of the each color channel is determined according to the luminance histogram of the each color channel in the region of interest and the corresponding relationship between the luminance and the number of the sub-region blocks; a reference luminance is determined based on the first luminance of the each color channel, the reference luminance corresponding to a reference color channel; a target luminance corresponding to the present AEC luminance is obtained; and a luminance regulation is performed on the reference color channel according to the target luminance.

Abstract: The present disclosure relates to a high precision method, model, and apparatus for calibrating the intrinsic camera parameter values of one or more intrinsic parameters of a camera. The intrinsic parameters include focal lengths, skew, optical center, and radial distortion coefficients. The practical implementation of the solution consists of a camera capturing several images of a planar calibration pattern from different viewpoints, and a computer implemented processing pipeline. The solution does not require additional human input and is robust to misdetection of the calibration pattern in some of the images.

Abstract: An identification apparatus includes an acquisition unit configured to acquire input data and an identification unit configured to identify a class to which the acquired input data belongs based on a classifier configured to identify a class to which the data belongs from among a plurality of classes that includes two or more classes having been set beforehand.

Abstract: An image processing apparatus includes an image processing block configured to encode each of plural data strings by using the number of common run lengths which are common to the plural data strings as run information of identical pixel values which are consecutive in each of the plural data strings.

Abstract: A method of detecting a possible collision in a medical procedure, includes: obtaining a reference depth image; obtaining an input depth image; determining a composite image using at least a part of the reference depth image and at least a part of the input depth image, wherein the act of determining the composite image is performed using a processing unit; and determining whether there is a possible collision between an object and a patient based on the composite image.

Abstract: An apparatus and a method for controlling a contrast ratio of content in an electronic device are disclosed. The method for controlling a contrast ratio of content in an electronic device, presented in one embodiment of the present disclosure, comprises the steps of: identifying one or more highlight regions on the basis of brightness information of a frame forming the content; determining thresholds for detecting the one or more highlight regions from the frame; generating one or more masks corresponding to the one or more highlight regions on the basis of the thresholds; and generating a contrast ratio-controlled frame on the basis of the one or more masks and one or more boosting factors for the content.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions executed by the processor to specifically configure the processor to implement a statistical model tool for providing insight into decision making. The statistical model tool applies the statistical model to an input image to generate an original classification probability. An image modification component executing within the statistical model tool iterative modifies each portion of the input image to generate a modified image. The statistical model tool applies the statistical model to the modified image to generate a new classification probability for each portion of the input image. A compare component executing in the statistical model tool compares each new classification probability to the original classification probability to generate a respective probability distance.

Abstract: A system and method for extracting document images from images featuring multiple documents are presented. The method includes receiving a multiple-document image including a plurality of document images, wherein each document image is associated with a document; extracting a plurality of visual identifiers from the multiple-document image, wherein each visual identifier is associated with one of the plurality of document images; analyzing the plurality of visual identifiers to identify each document image; determining, based on the analysis, an image area of each document image; extracting each document image based on its image area.

Abstract: A system, method, and computer program product for efficiently reconstructing a pattern, such as a fingerprint, from a set of multiple impressions of portions of that pattern. The system may evaluate images of patterns taken from a series of multiple impressions and reconstruct the pattern from the image portions while providing the operator with realtime feedback of a status of the set of images. As each new image portion is evaluated, a display graphic or other indicator provides feedback when a new image portion is added to the reconstruction image, or when a new image portion is not added (such as it representing a duplicate). Other status indications may be provided, and when the indication is visual, a degraded resolution of the pattern map may be provided on the display graphic to improve security.

Abstract: A method to control operation of a robot includes generating at least one virtual image by an optical 3D measurement system and with respect to a 3D measurement coordinate system, the at least one virtual image capturing a surface region of a component. The method further includes converting a plurality of point coordinates of the virtual image into point coordinates with respect to a robot coordinate system by a transformation instruction and controlling a tool element of the robot using the point coordinates with respect to the robot coordinate system so as to implement the operation.

Abstract: Techniques are described in which a device is configured to determine an overlap region between a first image and a second image, determine a first histogram based on color data included in the first image that corresponds to the overlap region, and determine a second histogram based on color data included in the second image that corresponds to the overlap region. The processor is further configured to determine, based on the first and second histograms, a mapping function that substantially maps the second histogram to the first histogram and apply the mapping function to the second image to generate a normalized second image with respect to the first image.

Abstract: Non-limiting examples described herein relate to ensemble model processing for image recognition that improves precision and recall for image recognition processing as compared with existing solutions. An exemplary ensemble model is configured enhance image recognition processing through aggregate data modeling processing that evaluates image recognition prediction results obtained through processing that comprises: nearest neighbor visual search analysis, categorical image classification analysis and/or categorical instance retrieval analysis. An exemplary ensemble model is scalable, where new segments/categories can be bootstrapped to build deeper learning models and achieve high precision image recognition, while the cost of implementation (including from a bandwidth and resource standpoint) is lower than what is currently available across the industry today.

Abstract: A system and method for calculating image similarity, each of which generates a retouch image using characteristic amounts relating to color, respectively obtained from a first image and a second image, and calculates similarity between the first image and the second image based on at least the retouch image.

Abstract: A system, method, and computer program product for efficiently mapping a pattern, such as a fingerprint, from a set of multiple impressions of portions of that pattern. The system may evaluate images of patterns taken from a series of multiple impressions and map the pattern from the image portions while providing the operator with realtime feedback of a status of the set of images. As each new image portion is evaluated, a display graphic or other indicator provides feedback when a new image portion is added to the reconstructed image, or when a new image portion is not added (such as it representing a duplicate). Other status indications may be provided, and when the indication is visual, a degraded resolution of the pattern map may be provided on the display graphic to improve security.