Abstract: A computer-implemented method for obtaining thermal image data of a body part and a thermal imager are disclosed. The method comprises receiving image data of a body part, the image data including thermal image data, the thermal image data including thermal image data of the body part and background thermal image data, applying a classifier to the image data to detect a profile of the body part, the classifier being configured to use image data other than the thermal image data to perform the detection, generating a mask from said profile, and applying the mask to the thermal image data to remove the background thermal image data and obtain thermal image data of the body part.

Abstract: Methods and systems for sensing physical quantities are provided. In one example, an apparatus comprises: a plurality of sensing elements, each sensing element being configured to measure a physical quantity and to generate a measurement result; and a controller configured to: receive first measurement results from at least a subset of the plurality of sensing elements, each of the first measurement results corresponding to an event based at least in part on satisfying a relationship with a threshold; populate an event matrix based in part on the first measurement results; populate a change matrix based in part on the threshold; and generate information related to a distribution of the measurement results among the plurality of sensing elements based at least in part on the event matrix and the change matrix.

Abstract: An image-capturing device includes: an illumination light source configured to emit illumination light to illuminate an object; a laser light source configured to emit laser light with a peak wavelength in a range of wavelengths absorbed or reflected by at least one region of the object; an imaging device configured to take an image of the object; a speckle variable device configured to change a speckle pattern in an image acquired by the imaging device over time; and an image processing device configured to process the image acquired by the imaging device, which includes: measuring a change over time in a intensity signal from each pixel constituting the image, and dividing an imaged region of the object into a plurality of portions based on a waveform of the change in the intensity signal over time.

Abstract: System and methods used to inspect a moving web (112) include a plurality of image capturing devices (113) that image a portion of the web at an imaging area. The image data captured by each of the image capturing devices at the respective imaging areas is combined to form a virtual camera data array (105) that represents an alignment of the image data associated with each of the imaging areas to the corresponding physical positioning of the imaging areas relative to the web. The image output signals generated by each of the plurality of image capturing devices may be processed by a single image processor, or a number of image processors (114) that is less than the number of image capturing devices. The processor or processors are arranged to generate the image data forming the virtual camera array.

Abstract: A method and apparatus for decoding JVET video, including receiving a bitstream and generating predictor pixels for angular prediction using pixels at projected positions along both a top reference row (main reference line) and a left reference column (side reference line). By combining projected pixel values on the main reference line with projected pixel values on the side reference, a predictor pixel at coordinate (x,y) can be determined. Further weighting the values according to a distance between predictor pixels and projected pixel positions on the main and side references may be included in the combination of pixel values. The weight parameter may be determined from a weighting table. Further, the weights for horizontal and vertical predictors may be computed based on that of a horizontal and vertical predictor, whichever is more accurate.

Abstract: A method of producing information from at least one camera image of an object, including: A) recording raw image data of the at least one camera image, B) evaluating the raw image data by a mathematical linkage to produce combination image data, C) deriving the information from the combination image data, D) outputting the information, E) determining an actual measure for a data quality of the raw image data prior to or after evaluation steps in step B), F) determining a deviation between the actual measure for the data quality and a target measure for the data quality of the raw image data of at least one camera image, and G) again recording all raw image data of those camera images, for which the deviation determined in step F) is greater than a predetermined threshold value and repeating at least one evaluation step from step B) and steps C) to F) either until the deviation determined in step F) for the raw image data of all camera images from the plurality of camera images is less than the threshold value

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for a unique platform for analyzing, classifying, extracting, and processing information from graphical representations. Embodiments of the inventions are configured to provide an end to end automated solution for extracting data from graphical representations and creating a centralized database for providing graphical attributes, image skeletons, and other metadata information integrated with a graphical representation classification training layer. The invention is designed to receive a graphical representation for analysis, intelligently identify and extract objects and data in the graphical representation, and store the data attributes of the graphical representation in an accessible format in an automated fashion.

Abstract: Methods and apparatus are provided for encoding and decoding binary sets using adaptive tree selection. In one exemplary encoding method embodiment, picture data is encoded for a block in a picture; in which one of a plurality of trees structures is selected to code a binary set of data for indicating coefficient significance for the block. In another exemplary encoding method embodiment, picture data is encoded for a block in a picture, in which one or more trees are used to encode a binary set of data for indicating coefficient significance for the block, the one or more trees each having a plurality of nodes, at least one of the nodes of the one or more trees being modified responsive to at least one parameter.

Abstract: A structured light projection module and a depth camera are provided. The structured light projection module includes: a light source array including a plurality of sub-light sources arranged in a two-dimensional pattern and configured to transmit array beams corresponding to the two-dimensional pattern; a lens configured to receive and converge the array beams; and a diffractive optical element configured to receive the array beams that are emitted after being converged by the lens and project beams in a structured light speckle pattern. The structured light speckle pattern is formed through staggered superposition of at least two secondary structured light speckle patterns. Each secondary structured light speckle pattern is formed through a tiling arrangement of multiple sub-speckle patterns generated by a portion of the sub-light sources, and comprises speckles formed by diffracting an individual sub-light source via the diffractive optical element.

Abstract: The invention describes a system for or recording the usage of a firearm and helping a user during usage of the firearm using multiple sensors to gather various information. The system includes a plurality of sensors to record various usage and status data of the firearm. The system further includes a communication module communicatively coupled to the sensors. The communication module is further connected to a processor. The system further includes a memory, a clock chip and an information disseminating device that includes a communication port. The plurality of sensors are configured to gather various information about a firearm device that may be a pistol, a revolver, a gun, etc. after being attached to the firearm device. In addition to the operational information, some of the sensors out of the plurality of sensors may gather information about surrounding environment of the firearm like lighting conditions, wind flow etc. to help a user of the firearm device to use it efficiently.

Abstract: A fairing skin repair method based on measured wing data includes fairing skin registration. Data set P1 through denoising and filtering wing point cloud data is reorganized to obtain a key point set P. A histogram feature descriptor in a normal direction of any key point in set P and a skin point cloud data Q is calculated. Euclidean distance between feature descriptors of two points is calculated through K-nearest neighbor algorithm, and points with high similarity are added into a set M. A clustering is performed on set M using a Hough voting algorithm to obtain a local point cloud set P? in set P. The method includes fairing skin repair. The boundary line of the point frame is projected onto Q, and a distance between a projection line on the point cloud and the boundary line is calculated to obtain an amount of skin to be repaired.

Abstract: A convolutional neural network (CNN) and associated method for identifying basal cell carcinoma are disclosed. The CNN comprises two convolution layers, two pooling layers and at least one fully-connected layer. The first convolution layer uses initial Gabor filters that model the kernel parameters setting in advance based on human professional knowledge. The method uses collagen fiber images for training images and converts doctors' knowledge to initiate the Gabor filters as featuring computerization. The invention provides better training performance in terms of training time consumption and training material overhead.

Abstract: An electric vehicle charging system and an operation method thereof are provided. The electric vehicle charging system may include a controller, a camera configured to capture a vehicle that is present in a charging station and transmit image information about the vehicle to the controller, a guide unit configured to receive guidance from the controller and output the guidance, and a plurality of chargers provided in the charging station and communicably connected to the controller. The controller may analyze information about the vehicle based on the image information received from the camera, may guide a member vehicle registered to receive charging service to move to a charger for members, may guide a nonmember vehicle to move to a charger for nonmembers, and may adjust a ratio of the number of chargers for members to the number of chargers for nonmembers according to an estimated waiting time for charging of the vehicle.

Abstract: A method of capturing instrument data using a communications device includes sending an actuation signal to a camera to take a photograph of at least one instrument, one of either transmitting or receiving a trigger message between the communications device and the at least one instrument, storing the photograph in a memory on the communications device, determining associated information for the photograph, and transmitting the photograph, associated information and user information to a network.

Abstract: A rear-view mirror and modular monitor system and method include an interior mirror that embeds a modular monitor behind see-through mirror glass. In some embodiments, the system includes multiple cameras, some in the vehicle, bus and/or truck, as well as some cameras outside the vehicle, bus and/or truck, advantageously providing the driver an opportunity to view what is happening, for example, in the back rows of the bus and/or cabin, while also using the mirror to look at objects in the bus and/or cabin that are visible using the mirror. The rear-view mirror and modular monitor system is configured to be easily assembled and/or disassembled when necessary for maintenance and/or to replace parts.

Abstract: A temporal merging motion information candidate generation unit derives, when information indicating whether or not to derive a temporal merging motion information candidate shared for all prediction blocks in a coding block is information indicating the derivation of a temporal merging motion information candidate shared for all the prediction blocks in the coding block, a temporal merging motion information candidate shared for all the prediction blocks in the coding block from a prediction block of a coded picture different from a picture having a prediction block subject to coding. A merging motion information candidate list construction unit generates a plurality of merging motion information candidates including a temporal merging motion information candidate.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus for video encoding includes processing circuitry. The processing circuitry determines a maximum transform size for partitioning a block in a coding tree unit (CTU) based on a size of the CTU. Then, the processing circuitry partitions the block into one or more transform blocks based on the maximum transform size, and encodes residues associated with a prediction of the block into bits in a bitstream, according to the one of more transform blocks.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to ensuring quality of meat cuts. In some embodiments, a system for ensuring quality of meat cuts comprises a capture device comprising an image capture device configured to capture an image of a cut of meat, a depth sensor configured to capture depth data, a transceiver configured to transmit the image and the depth data, a microcontroller configured to control the image capture device, the depth sensor, and the transceiver, a database configured to store meat cut specifications, and the control circuit configured to receive, from the capture device, the image and the depth data, retrieve, from the database, a meat cut specification, evaluate the image of the cut of meat and the depth data associated with the cut of meat, and classify the cut of meat.

Abstract: A method, computer readable medium, and system are disclosed for identifying residual video data. This data describes data that is lost during a compression of original video data. For example, the original video data may be compressed and then decompressed, and this result may be compared to the original video data to determine the residual video data. This residual video data is transformed into a smaller format by means of encoding, binarizing, and compressing, and is sent to a destination. At the destination, the residual video data is transformed back into its original format and is used during the decompression of the compressed original video data to improve a quality of the decompressed original video data.

Abstract: The present disclosure provides a method and apparatus for evaluating article value based on artificial intelligence, and a storage medium. The solution of present disclosure may be employed to pre-mine high-quality articles and low-quality articles as training data, and train according to the training data to obtain a value-scoring model. As such, value evaluation needs to be performed for the to-be-evaluated article, it is feasible to first perform feature extraction for the to-be-evaluated article, determine a score of the to-be-evaluated article based on the extracted features and the value-scoring model, and thereby implement effective evaluation of the article value.