Abstract: A lossless pixel compressor may include technology to detect a format of a pixel memory region, and compress the pixel memory region together with embedded control information which indicates the detected format of the pixel memory region. Other embodiments are disclosed and claimed.

Abstract: The disclosure provides a surface inspection apparatus for inspecting a surface of an object, a non-transitory computer readable medium thereof, and a surface inspection method thereof. According to an aspect of the disclosure, the surface inspection apparatus includes an imaging device configured to image a surface of an object to be inspected, and a processor configured to calculate a numerical value representing a quality of the surface by processing an image captured by the imaging device, and display, on a display device, the image including an index for specifying a position of a portion that has contributed to the calculation of the numerical value and the numerical value.

Abstract: An integrated system for automatic forming, picking, and inspection of a grinding wheel mesh piece and a method thereof, including a visual inspection system (1), a conveying system (2), a cutting system (3), and a picking system (4); the conveying system (2) is used to precisely control a conveying action of a cutting section conveying platform (51) and a picking section conveying platform (52), and the visual inspection system (1) is used to acquire an image of a grinding wheel mesh cloth, establish virtual origin coordinates of a cutting layout and center coordinates of the grinding wheel mesh piece after cutting, recognize defects of the grinding wheel mesh cloth, and calibrate qualified center coordinates and unqualified center coordinates; the cutting system (3) is used to cut the grinding wheel mesh cloth moved to the cutting section conveying platform (51) to obtain a circular grinding wheel mesh piece.

Abstract: A tracking device for tracking a target object includes an interface connectable to a camera configured to acquire an image and determine a location of the object within the image and a distance therefrom, a memory that stores first coordinates that indicate a location of the camera with respect to a reference point in the facility, and a first direction towards which the camera faces, and a processor configured to calculate a second direction from the camera to the object based on the first direction and the location of the object, based on the second direction and the distance, calculate second coordinates indicating a location of the target object with respect to the location of the camera, based on the first and second coordinates, calculate third coordinates indicating a location of the target object with respect to the reference point, and store the calculated third coordinates in the memory.

Abstract: A video decoding method performed by a decoding apparatus includes deriving one of a plurality of cross-component linear model (CCLM) prediction mode as a CCLM prediction mode of the current chroma block, deriving a sample number of neighboring chroma samples of the current chroma block based on the CCLM prediction mode of the current chroma block, a size of the current chroma block, and a specific value derived as 2. The method includes deriving the neighboring chroma samples of the sample number, calculating CCLM parameters based on the neighboring chroma samples and the down sampled neighboring luma samples, deriving prediction samples for the current chroma block based on the CCLM parameters and the down sampled luma samples and generating reconstructed samples for the current chroma block based on the prediction samples.

Abstract: A high-power-microscope-assisted identification method of maize haploid plants is provided, the method is implemented by a device including a high power microscope, a main frame disposed on an objective table of the high power microscope and a computer and includes four procedures of sample information input, automatic testing of a batch of samples, automatic analysis and comparison, and automatic generation of data results. Vertical sliding grooves are symmetrically formed in the main frame, and a vertical supporting plate is disposed at an upper end of the main frame. Horizontal sliding grooves are symmetrically formed in the vertical supporting plate, and a horizontal supporting plate is disposed on the vertical supporting plate.

Abstract: Embodiments are directed to a sensing system that employs beams to scan paths across an object such that sensors may the beams reflected by the scanned object. Events may be provided based on the detected signals and the paths such that each event may be associated with a sensor and event metrics. Crossing points for each sensor may be determined based on where the paths intersect the scanned object such that events associated with each sensor are associated with the crossing points for each sensor. Each crossing point of each sensor may be compared to each correspondent crossing point of each other sensor. Actual crossing points may be determined based on the comparison and the crossing points for each sensor. Position information for each sensor may be determined based on the actual crossing points.

Abstract: The present invention provides a method for encoding a video signal based on an Edge Adaptive Graph-Based Transform (EA-GBT) including detecting a step edge or a ramp edge from a residual signal; generating a graph signal based on at least one of the step edge or the ramp edge; obtaining an EA-GBT coefficient by performing the EA-GBT for the graph signal; quantizing the EA-GBT coefficient; and entropy-encoding the quantized EA-GBT coefficient.

Abstract: A LIDAR device is positioned on a crane and is moved along a track to collect 3D image data of the area below the crane. The resulting image data is sent to a computing device that applies or more filtering algorithms to the image data and searches for known image shapes therein through a comparison of the image data and one or more 3D object models based on known shapes or geometric primitives. If an object is identified in the image data and is determined to be accessible, position information for that object may be sent to a device configured to control movement of the crane to grab/pick up the object.

Abstract: A camera assembly includes an image sensor having a field of view corresponding to a scene, an infrared (IR) illuminator configured to selectively illuminate the scene, and a single-piece cover element positioned in front of the image sensor and the IR illuminator such that light from the IR illuminator is directed through the cover element along a first light path and light from the scene passes through the cover element along a second light path prior to entering the image sensor, the cover element including a first portion between the first light path and the second light path, the first portion being substantially opaque to IR and/or visible light.

Abstract: Embodiments of the present invention provide video signal processing methods.

Abstract: A method for video processing is described. The method comprises: making a decision, for a conversion between a current video block of a video picture of a video and a coded representation of the video, regarding a size of a reference region of the video picture from which reference samples are used for predicting the current video block, based on a size of a virtual pipeline data unit (VPDU), a size of a coding tree block (CTB), or a size of a coding tree unit (CTU); and performing the conversion based on the decision.

Abstract: Systems and methods presented herein include light field displays configured to display primary autostereoscopic images and to simultaneously project (e.g., in real time, while displaying their own primary autostereoscopic images) light rays toward display devices (e.g., either reflective devices or cameras) to display secondary autostereoscopic images via the display devices. The light rays projected from the light field displays are controlled by a control system based at least in part on positional data (e.g., position, orientation, and/or movement) of the display devices, which may be determined by the control system based at least in part on detection of light rays that are reflected off the display devices.

Abstract: Systems and methods presented herein include light field displays configured to display primary autostereoscopic images and to simultaneously project light rays toward display devices (e.g., either reflective devices or cameras) to display secondary autostereoscopic images via the display devices. The light rays projected from the light field displays are controlled by a control system based at least in part on positional tracking data (e.g., position, orientation, and/or movement) of the display devices and/or of a portion of humans associated with the display devices, which may be detected via sensors of the display devices and/or via cameras disposed about a physical environment within which the display devices and the humans are located. Specifically, the control system calculates light field vector functions for light rays to be projected toward each individual display device based at least in part on positional tracking data for that particular display device and/or its associated human.

Abstract: An image decoding method according to the present document may include the steps of: deriving the position of the final significant coefficient in the current block and transform coefficients for the current block on the basis of residual information; determining whether the index of a sub-block including the final significant coefficient is 0 and whether the position of the final significant coefficient in the sub-block is greater than 0; determining whether a significant coefficient exists in a second area excluding a first area at the upper left end of the current block; and parsing an LFNST index from a bitstream when the position of the final significant coefficient is determined to be greater than 0 in the sub-block in which the index is 0, and the significant coefficient does not exist in the second area.

Abstract: A method for automated calibration is provided. The method may include obtaining a plurality of interest points based on prior information regarding a device and image data of the device captured by a visual sensor. The method may include identifying at least a portion of the plurality of interest points from the image data of the device. The method may also include determining a transformation relationship between a first coordinate system and a second coordinate system based on information of at least a portion of the identified interest points in the first coordinate system and in the second coordinate system that is applied to the visual sensor or the image data of the device.

Abstract: An extreme ultraviolet (EUV) collector inspection apparatus and method capable of precisely inspecting a contamination state of an EUV collector and EUV reflectance in accordance with the contamination state are provided. The EUV collector inspection apparatus includes a light source arranged in front of an EUV collector to be inspected and configured to output light in a visible light (VIS) band from UV rays, an optical device configured to output narrowband light from the light, and a camera configured to perform imaging from an UV band to a VIS band. An image by wavelength of the EUV collector is obtained by using the optical device and the camera and a contamination state of the EUV collector is inspected.

Abstract: An image decoding method performed by a decoding apparatus according to the present disclosure includes receiving intra prediction information including at least one of most probable mode (MPM) flag information representing whether to derive an intra prediction mode for a current block based on MPM candidates for the current block or planar flag information representing whether to determine the intra prediction mode for the current block as a planar mode, deriving the intra prediction mode for the current block based on the MPM flag information and the planar flag information, deriving a predicted block for the current block based on the intra prediction mode for the current block, and generating a reconstructed picture based on the predicted block.

Abstract: In certain embodiments, an imaging system includes an enclosure with an objective aperture opening into an interior space of the enclosure, an optical assembly optically coupling the objective aperture to an imaging sensor within the enclosure, a spatial light modulator (SLM) mounted to the objective aperture for selectively blocking and admitting illumination through the objective aperture into the interior space, and an illuminator mounted to illuminate the interior space of the enclosure.

Abstract: A flash thermography device is configured to apply a flash of light to a target area on a surface of the battery cell. An imaging device is configured to capture an image of the target area subsequent to the flash of light being applied to the surface of the battery cell. A defect detection control module is configured to receive the image captured by the imaging device, analyze the image to determine whether a defect is present in the battery cell, and selectively generate and output an indication of whether the defect is present based on the analysis of the image.