Abstract: Sensor signals from a sensor of a coordinate measuring machine or microscope describe a workpiece arranged within a space. The sensor and the space are movable relative to one another. A method of visualizing the sensor signals includes obtaining data relating to a three-dimensional scene that is stationary relative to the space. The method includes generating a two-dimensional view image of the scene. The view image has opposing edges predefined with respect to at least one of the two directions. A central region of the view image is located between the edges. The method includes, repeatedly, obtaining a two-dimensional sensor representation of the workpiece and combining the sensor representation with the view image to form a two-dimensional output image. The method includes, in response to movement between the sensor and the space, generating a new view image if the central region would extend beyond either of the edges.

Abstract: There are disclosed various methods, apparatuses and computer program products for video encoding and decoding. In some embodiments an encoding method comprises obtaining information of a region (63) for overlaying at least a part of an omnidirectional video (61), information of a current viewport (62) in the omnidirectional video (61), and information of an overlaying method to determine whether to overlay a part of the current viewport (62) or the whole current viewport (62) by the overlaying region (63). The method may further comprise encoding information of the overlaying region (63), the current viewport (62) and the overlaying method.

Abstract: This disclosure describes filtering techniques applied by an encoder and a decoder during the prediction stage of a video encoding and/or decoding process. The filtering techniques may enhance the accuracy of predictive data used during fractional interpolation, and may improve predictive data of integer blocks of pixels. There are several aspects to this disclosure, including a useful twelve-pixel filter support that may be used for interpolation, techniques that use coefficient symmetry and pixel symmetry to reduce the amount of data needed to be sent between an encoder and a decoder to configure the filter support for interpolation, and techniques for filtering data at integer pixel locations in a manner that is similar to sub-pixel interpolation. Other aspects of this disclosure concern techniques for encoding information in the bitstream to convey the type of filter used, and possibly the filter coefficients used. Predictive coding of filter coefficients is also described.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for controlling an excavator to excavate. The method includes: acquiring a two-dimensional image of a material pile; generating a three-dimensional model of the material pile based on the two-dimensional image; analyzing the three-dimensional model to determine a target excavating point and a target excavating trajectory of the material pile; and controlling an excavator to excavate a material at the target excavating point along the target excavating trajectory.

Abstract: Various embodiments of the present disclosure may include an imaging system that includes a base module, a camera module, an interface plate, and a locking ring. The base module may be mounted on the interface plate via one or more quick release fasteners. The camera module may then be coupled to the base module and one or more blind mate connectors may allow for the camera of the camera module to quickly connector with the base module and communicate data and/or power. A locking ring may then be coupled (e.g., threaded) onto the base module over the camera module to secure the camera module to the base module.

Abstract: An image capturing and depth alignment method includes radar scanning step, image capturing step, translation and synchronization step, alignment step, client detection step, client positioning step, scene map construction step, view image transmitting step, view image processing step, virtual object placement step. through translating, synchronizing, and aligning the radar scanning step's 3D point cloud map and the image capturing step's planar image of the scene, the back-end server therefore obtains surveillance information with both image and depth. Then, through positioning, multiply superimposing, image rotation and matching, speed comparison, uniformization of coordinate systems, and display through the smart glasses, a wearer of the smart glasses may be positioned and tracked in the scene. The wearer may also be instructed to reach a specific target or place of a specific object.

Abstract: Disclosed herein is a computer-implemented method for generating calibration data usable for analysis of a sample. The method includes: (i) identifying targets in an image frame pertaining to a scanned area of a sample; (ii) computing displacements of the targets relative to positions thereof as given by, or derived from, reference data of the scanned area; (iii) based at least on the computed target displacements, determining values of coordinate transformation parameters (CTPs) relating coordinates of the image frame to coordinates of the scanned area as given by, or derived from, the reference data; and (iv) using at least the CTPs to obtain displacements of multiple segments in the image frame, thereby generating a displacement mapping of the image frame or at least a part thereof.

Abstract: Provided are embodiments including a system for automatically generating a plan of scan locations for performing a scanning operation where the system includes a storage medium that is coupled to a processor. The processor is configured to receive a map of an environment, apply a distance transform to the map, wherein the distance transform determines a path through the map, wherein the path comprises a plurality of points, and identify a set of candidate scan locations based on the path. The processor is also configured to select scan locations from the set of candidate scan locations for performing 3D scans, and perform the 3D scans of the environment based on the selected scan locations. Also provided are embodiments for a method and computer program product for automatically generating a plan of scan locations for performing a scanning operation.

Abstract: An idea used herein is to use the same function for the dependency of the context and the dependency of the symbolization parameter on previously coded/decoded transform coefficients. Using the same function—with varying function parameter—may even be used with respect to different transform block sizes and/or frequency portions of the transform blocks in case of the transform coefficients being spatially arranged in transform blocks. A further variant of this idea is to use the same function for the dependency of a symbolization parameter on previously coded/decoded transform coefficients for different sizes of the current transform coefficient's transform block, different information component types of the current transform coefficient's transform block and/or different frequency portions the current transform coefficient is located within the transform block.

Abstract: The present invention provides for a method for continuously monitoring a coupling quality of a coupling interface between an acoustic energy source of a therapeutic device and a body surface area of a patient, comprising the steps of: (f) obtaining a plurality of images of at least one predetermined first area of the coupling interface; (g) extracting at least one first image characteristic of a predetermined first image of said plurality of images; (h) extracting said at least one first image characteristic of at least one second image of said plurality of images, said at least one second image being temporally spaced apart from said predetermined first image; (i) determining a quantitative parameter corresponding to a difference between said at least one first image characteristic of said predetermined first image and said at least one first image characteristic of said at least one second image, and (j) actuating a signal if said quantitative parameter exceeds a predetermined reference threshold.

Abstract: The present disclosure discloses a method and a device for converting two-dimensional (2D) images into three-dimensional (3D) images and a 3D imaging system, wherein the method comprises the following steps: acquiring 2D image to be processed; performing perspective transformation on the 2D image to obtain a left-eye image and a right-eye image respectively; adjusting a distance between the left-eye image and the right-eye image according to the result of perspective transformation; and synthesizing the left-eye image and the right-eye image after the distance adjustment. In embodiments of the present disclosure, binocular parallax images are created by performing perspective transformation on the 2D image to be processed; the distance between the left-eye image and the right-eye image after perspective transformation is adjusted to form binocular parallax and create a convergence angle, so that the images observed by naked eyes are located at different depths, thus different stereoscopic effects may be seen.

Abstract: The disclosure proposes a decoder for decoding coefficients of blocks of a video sequence from a bitstream. The decoder comprises a scan pattern list module for providing one or more pre-defined scan orders, a scan order generator for generating one or more scan orders, a scan order selector for selecting a scan order for each block from the pre-defined and generated scan orders on the basis of scan order information contained in the bitstream, a decoding module for decoding one or more coefficient vectors of each block from the bitstream, a deserializer for inverse scanning, for each block, the one or more coefficient vectors of that block according to the scan order selected for that block so as to obtain a coefficient matrix. The scan order generator generates the one or more scan orders depending on one or more previously obtained coefficient matrices of blocks of the video sequence.

Abstract: A computer implemented scheme for a light detection and ranging (LIDAR) system where point cloud feature extraction and segmentation by efficiently is achieved by: (1) data structuring; (2) edge detection; and (3) region growing.

Abstract: A method, apparatus, and computer program product are provided for training a neural network or providing a pre-trained neural network with the weight-updates being compressible using at least a weight-update compression loss function and/or task loss function. The weight-update compression loss function can comprise a weight-update vector defined as a latest weight vector minus an initial weight vector before training. A pre-trained neural network can be compressed by pruning one or more small-valued weights. The training of the neural network can consider the compressibility of the neural network, for instance, using a compression loss function, such as a task loss and/or a weight-update compression loss. The compressed neural network can be applied within a decoding loop of an encoder side or in a post-processing stage, as well as at a decoder side.

Abstract: An object of the embodiments is to achieve an improved reference picture handling. That is achieved by taking into account whether the reference pictures in the decoded picture buffer are long-term reference pictures or short-term reference pictures when determining how they should be marked when the information of the reference picture set is received. The reference pictures are marked as “used for short-term reference” or “used for long-term reference” in the Decoded Picture Buffer (DPB) depending on whether they are included as short-term pictures or long-term pictures in the RPS of a current picture.

Abstract: A method for video processing is disclosed to include: determining, for a conversion between a coded representation of a current block of a video and the current block, a motion vector difference (MVD) precision to be used for the conversion from a set of allowed multiple MVD precisions applicable to a video region containing the current video block; and performing the conversion based on the MVD precision.

Abstract: A method for video processing is disclosed to include: determining, for a conversion between a coded representation of a current block of a video and the current block, a motion vector difference (MVD) precision to be used for the conversion from a set of allowed multiple MVD precisions applicable to a video region containing the current video block; and performing the conversion based on the MVD precision.

Abstract: A method for decoding a video according to the present invention may comprise: obtaining a weighted prediction parameter of a current block, determined, based on the weighted prediction parameter, weights applying to a first prediction block generated based on a first reference picture and a second prediction block generated based on a second reference picture, and obtaining, based on a weighted sum of the first prediction block and the second prediction block, a final prediction block of the current block.

Abstract: The invention relates according to one of its embodiments to a method for encapsulating a partitioned timed media data, the partitioned timed media data comprising timed samples, at least one timed sample comprising at least one subsample. The method comprising: obtaining at least one subsample from at least one of the timed samples; creating a first track comprising the at least one obtained subsample; obtaining at least another subsample from the same one of the timed samples; creating a second track comprising said at least another obtained subsample; and generating descriptive metadata, the descriptive metadata comprising a unified descriptor comprising: a first parameter which indicates, when set to 1, that the at least one obtained subsample is a complete frame; and at least a second parameter which specifies coding dependencies between the at least one obtained subsample and the at least another obtained subsample.

Abstract: The present disclosure relates to the search of more than one K-integer best-matching blocks per block within an image, corresponding to best patches for subsequent filtering. In particular, the positions of K best-matching blocks for a template block are found within an image search area, by performing calculations of the similarity between the template block and a test block at all offset positions within a search area. The positions of K or more best-matching blocks for a non-template block are found within an image search area, by performing calculations of the similarity between the non-template block and a test block at all offset positions found as offsets of best-matching blocks for all template blocks.