Abstract: A measurement apparatus operable to perform measurement concerning a predetermined item for a target subject which is a measurement target. The apparatus comprises an acquisition unit configured to, for a captured image acquired by capturing of an image capturing range that includes the target subject, acquire distance information indicating a distribution of a subject distance from an image capturing apparatus that performed the capturing and, at least, normal line information that indicates a normal line of a surface of the target subject; and a presentation unit configured to present a notification that indicates an image capturing direction of the image capturing apparatus for performing measurement of the predetermined item based on the normal line information acquired by the acquisition unit.

Abstract: A handheld monitoring and early warning device for Fusarium head blight of in-field wheat includes an acquisition card, a processor, a camera, a touchscreen, a power supply, and a 4G network card. The acquisition card is configured to acquire data. The processor is configured to analyze the acquired data, to obtain the growth of wheat based on a deep learning algorithm. The camera is configured to acquire root, stem, and ear information of in-field wheat. The touchscreen is a medium configured to perform human-computer interaction. The power supply is configured to supply power to the monitoring and early warning device. The 4G network card is configured to perform data communication and at the same time communicate with an external cloud server. Further disclosed is an early warning method of a handheld monitoring and early warning device for Fusarium head blight of in-field wheat.

Abstract: A floating three-dimensional image display system is provided. The floating three-dimensional image display system includes a controller and a first floating image display device. The controller converts a plurality of image information of an electronic device into a plurality of first floating image information according to the plurality of image information and a plurality of depth information of the electronic device, and displays the plurality of first floating image information in a space above a first side of the first floating image display device through the first floating image display device.

Abstract: A method and system for detecting a tunnel block falling disease based on visual and mechanical perception includes: capturing tunnel inner wall images, and preliminarily identifying a block falling disease using a trained first neural network model; constructing a circle based on a center which is the center position of the suspected disease determined in the preliminary identification process, dividing the circle equally through a plurality of diameters, pressing against the center of the suspected block falling disease in a pose perpendicular to the inner wall of the tunnel, moving in the diameter directions within the range of the suspected block falling disease, recording the displacement, and acquiring force and torque at the suspected block falling disease position during the movement; and determining the suspected tunnel block falling disease based on the acquired displacement, force and torque, using a second neural network model, and determining the tunnel block falling disease.

Abstract: A system for detecting scan and non-scan events in a self-check out (SCO) process includes a a scanner for scanning objects and generating point of sale (POS) data, a video camera for generating a video of the scanning region, proximity sensors proximal to the video camera for defining an Area of Action (AoA), wherein the video camera starts capturing scanning region, when the objects enter the AoA, and the POS data includes non-zero values, an Artificial neural network (ANN) for receiving an image frame and generating one or more values, each indicating a probability of classification of the image frame into one or more classes respectively, and a processing unit for processing the POS data, and probabilities of one or more classes to detect a correlation between video data and POS data, and detect one of: scan and non-scan event in the image frame based on the correlation.

Abstract: Embodiments of the present disclosure relate to weight matrix prediction. In an embodiment, a computer-implemented method is disclosed. The method comprises sending a candidate weight matrix of a neural network to one of a plurality of computing nodes comprised in a computing system to perform a testing iteration. The method further comprises receiving a testing loss value from the one of the plurality of computing nodes based on the testing iteration. The method further comprises evaluating whether the testing loss value is applicable. The method further comprises determining that the candidate weight matrix is available to be employed in a new formal iteration in response to the testing loss value being applicable. In other embodiments, a system and a computer program product are disclosed.

Abstract: A technology is described for thermal imaging. In one example of the technology, a plurality of thermal sensors in a non-collinear configuration are used to simultaneously image scene regions of an ambient environment. Series of synchronized thermal image sets may be obtained from the thermal sensors, and virtual-stereo pairs of image tiles may be defined by selecting image tiles from a plurality of undetermined pairs of image tiles. Thereafter, two-dimensional (2D) correlation may be performed on the virtual-stereo pairs of thermal image tiles to form 2D correlation tiles for the scene region of the ambient environment, and a depth map of the ambient environment may be generated after consolidating the 2D correlation tiles corresponding to the same environmental objects to increase contrast of objects represented in the depth map.

Abstract: The embodiments disclosed herein relate to the construction of a search space for determining a motion vector for a current block of a picture in a video sequence. The search space construction is split into in two main stages, wherein a first and a second partial search space are respectively determined. Based on an initial estimate of a motion vector, a first search space is first constructed. A first and a second candidate motion of the first search space are identified according to a cost function. Based on the first and the second candidate motion vectors, a second search space is constructed. The motion vector for the current block is selected from the candidate motion vectors of the first search space and the second search space.

Abstract: The present disclosure relates to the field of image processing and discloses an agricultural advisory system (100) comprising a user device (102) and a cloud server (104). The user device (102) captures a digital image of a scene, receives a sensed data corresponding to scene-related and environmental parameters, and transmits the image and the sensed data to the cloud server. The server (104) stores one or more pre-trained prediction models and a three-dimensional HyperIntelliStack which maps red green blue (RGB) pixel values with hyperspectral reflectance values. The server (104) receives the digital images and the sensed data, transforms the received image made of RGB pixel values into a hyperspectral image using the HyperIntelliStack data structure, computes vegetation indices for each pixel of the hyperspectral image to generate a segmented image, and generates at least one advisory for agriculture and allied areas using the segmented image and one or more prediction models.

Abstract: Disclosed herein is a system and method directed to object tracking and metric generation using a plurality of cameras. The system includes the plurality of cameras disposed around a playing surface in a mirrored configuration, where the plurality of cameras are time-synchronized. The system further includes logic that, when executed by a processor, causes performance of operations including: obtaining a sequence of images from the plurality of cameras, continuously detecting an object in image pairs at successive points in time, wherein each image pair corresponds to a single point in time, continuously determining a location of the object within the playing space through triangulation of the object within each image pair, detecting a player and the object within each image of a subset of image pairs of the sequence of images, identifying a sequence of interactions between the object and the player, and storing the sequence of interactions.

Abstract: A robot includes an image sensor that captures the environment of a storage site. The robot visually recognizes regularly shaped structures to navigate through the storage site using various object detection and image segmentation techniques. In response to receiving a target location in the storage site, the robot moves to the target location along a path. The robot receives the images as the robot moves along the path. The robot analyzes the images captured by the image sensor to determine the current location of the robot in the path by tracking a number of regularly shaped structures in the storage site passed by the robot. The regularly shaped structures may be racks, horizontal bars of the racks, and vertical bars of the racks. The robot can identify the target location by counting the number of rows and columns that the robot has passed.

Abstract: A cognitive optical system for dynamically refining imaging during a medical procedure, involving a processor operable by a set of executable instructions storable in relation to a non-transitory memory device. The processor is configured to automatically adjust an image by automatically compensating for at least one external factor affecting an anatomical area being viewed, automatically adjusting at least one imaging parameter, and automatically adjusting at least one internal control of an optical chain, whereby a quality of the image is improvable in real time.

Abstract: A method and a device for processing a video signal are disclosed. In particular, a method for decoding a video signal includes parsing a first syntax element indicating a primary transform kernel applied to a primary transform of a current block; determining whether a secondary transform is applicable to the current block based on the first syntax element; if the secondary transform is applicable to the current block, parsing a second syntax element indicating a secondary transform kernel applied to a secondary transform of the current block; deriving a secondary inverse-transformed block, by performing a secondary inverse-transform for a top-left specific region of the current block using a secondary transform kernel indicated by the second syntax element; and deriving a residual block of the current block, by performing a primary inverse-transform for the secondary inverse-transformed block using a primary transform kernel indicated by the first syntax element.

Abstract: A method and an electronic apparatus for stitching a three-dimensional spherical panorama are provided. The method includes: obtaining a first image and a second image; projecting the first and seconds image onto a virtual spherical plane to form a first equirectangular panorama and a second equirectangular panorama; duplicating the first equirectangular panorama to generate a third equirectangular panorama, and duplicating the second equirectangular panorama to generate a fourth equirectangular panorama; performing image enhancement on the third and fourth equirectangular panoramas to generate a first enhanced equirectangular panorama and a second enhanced equirectangular panorama; calculating an optical flow for the first and second enhanced equirectangular panoramas; generating the three-dimensional spherical panorama according to the first and second equirectangular panoramas and the optical flow.

Abstract: A method of calibrating a vehicular vision system includes mounting a camera at a vehicle moving along a vehicle assembly line. Responsive to processing of image data captured by the camera, ground features adjacent to the vehicle are determined and the determined ground features are tracked over two or more frames of captured image data using optical flow. A misalignment of the camera is determined via tracking the determined ground features as the vehicle moves along the straight path portion of the end of line test portion of the vehicle assembly line. Responsive to determination of misalignment of the camera at the vehicle, the vehicular vision system is calibrated using an assumption that the determined ground features lie in a plane parallel to a planar portion of a ground surface adjacent the straight path portion of the end of line test portion of the vehicle assembly line.

Abstract: Implementations disclosed describe a method and a system to perform the method of obtaining a reduced representation of a plurality of sensor statistics representative of data collected by a plurality of sensors associated with a device manufacturing system performing a manufacturing operation. The method further includes generating, using a plurality of outlier detection models, a plurality of outlier scores, each of the plurality of outlier scores generated based on the reduced representation of the plurality of sensor statistics using a respective one of the plurality of outlier detection models. The method further includes processing the plurality of outlier scores using a detector neural network to generate an anomaly score indicative of a likelihood of an anomaly associated with the manufacturing operation.

Abstract: Methods, systems, and apparatus for recognizing objects and providing content related to the recognized objects are described. In one aspect, a method includes detecting presence of one or more objects depicted in a viewfinder of a camera of the mobile device. In response to detecting the presence of the one or more objects, image data representing the one or more objects is sent to a content distribution system that selects content related to objects depicted in images. A location of each of the one or more objects in the viewfinder of the camera is tracked while waiting to receive content from the content distribution system. Content related to the one or more objects is received from the content distribution system. A current location of each object in the viewfinder is determined and the content related to the object is presented within the viewfinder at the current location of the object.

Abstract: The present technology relates to a light receiving element, an imaging element, and an imaging device. A light receiving element includes an on-chip lens, a wiring layer, and a semiconductor layer arranged between the on-chip lens and the wiring layer. The semiconductor layer includes a first voltage application unit to which a first voltage is applied, a second voltage application unit to which a second voltage is applied, a first charge detection unit, and a second charge detection unit. The wiring layer includes at least one layer including first voltage application wiring configured to supply the first voltage, second voltage application wiring configured to supply the second voltage, and a reflection member that overlaps the first charge detection unit or the second charge detection unit, in plan view. The present technology, for example, can be applied to a light receiving element configured to measure a distance.

Abstract: An imaging system includes a pixel array configured to generate image charge voltage signals in response to incident light received from an external scene. An infrared illumination source is deactivated during the capture of a first image of the external scene and activated during the capture of a second image of the external scene. An array of sample and hold circuits is coupled to the pixel array. Each sample and hold circuit is coupled to a respective pixel of the pixel array and includes first and second capacitors to store first and second image charge voltage signals of the captured first and second images, respectively. A column voltage domain differential amplifier is coupled to the first and second capacitors to determine a difference between the first and second image charge voltage signals to identify an object in a foreground of the external scene.

Abstract: An example device for coding video data includes a memory configured to store video data; and one or more processing units implemented in circuitry and configured to: store motion information for a first coding tree unit (CTU) line of a picture in a first history motion vector predictor (MVP) buffer of the memory; reset a second history MVP buffer of the memory; and after resetting the second history MVP buffer, store motion information for a second CTU line of the picture in the second history MVP buffer, the second CTU line being different than the first CTU line. Separate threads of a video coding process executed by the one or more processors may process respective CTU lines, in some examples.