Abstract: A video picture encoding and decoding method, including obtaining a primary sub-region bitstream corresponding to a target sub-picture of a panoramic picture, where the primary sub-region bitstream includes N secondary sub-region bitstreams, and N is a positive integer, parsing the primary sub-region bitstream to obtain a reconstructed picture, performing cross-sub-region-boundary out-loop filtering on the reconstructed picture when an out-loop filtering identifier instructs to perform cross-sub-region-boundary out-loop filtering on the reconstructed picture, to obtain a filtered reconstructed picture, and adjusting a location of at least one of N sub-regions in the filtered reconstructed picture to obtain a picture having no sub-region boundary.

Abstract: A sideview mirror assembly for a vehicle can comprise a body including a sideview mirror housing. The sideview mirror assembly can include a camera located in the body about the sideview mirror housing. The camera can have a field-of-view including an above-horizontal region directed rearward toward an overhead target position past the sideview mirror housing. The camera can be mounted for movement relative to the body between a normal position, in which the sideview mirror housing intersects the camera and the overhead target position in the above-horizontal region, and an extended position, in which the sideview mirror housing does not intersect the camera and the overhead target position in the above-horizontal region. Movement of the camera from the normal position to the extended position can unblock camera visibility of the overhead target position by the sideview mirror housing.

Abstract: Provided is a method for measuring surface characteristics of at least a portion of an object, including providing a light source; generating a first interference pattern on the at least a portion of the object; capturing an image of the first interference pattern; shifting the phase of the light source to generate a second interference pattern; capturing an image of the second interference pattern; filtering distortion from the interference patterns; extracting a wrapped phase of the at least a portion of the object based on the images; unwrapping the wrapped phase of the at least a portion of the object to generate an unwrapped phase; identifying a computed depth map distance to the at least a portion of the object; and fitting an ideal part to the computed depth map of the at least a portion of the object to measure the surface characteristics.

Abstract: A digital media encoder/decoder uses a flexible quantization technique that provides the ability to vary quantization along various dimensions of the encoded digital media data, including spatial, frequency sub bands and color channels. The codec utilizes a signaling scheme to signal various permutations of flexible quantization combinations efficiently for primary usage scenarios. When a choice of quantizer is available, the codec efficiently encodes the current quantizer by defining a subset of quantizers and indexes the current quantizer from the set.

Abstract: A digital media encoder/decoder uses a flexible quantization technique that provides the ability to vary quantization along various dimensions of the encoded digital media data, including spatial, frequency sub bands and color channels. The codec utilizes a signaling scheme to signal various permutations of flexible quantization combinations efficiently for primary usage scenarios. When a choice of quantizer is available, the codec efficiently encodes the current quantizer by defining a subset of quantizers and indexes the current quantizer from the set.

Abstract: The disclosure extends to methods, systems, and computer program products for digitally imaging with area limited image sensors, such as within a lumen of an endoscope.

Abstract: A camera calibration information acquisition device acquires captured images of a camera calibration target from two or more cameras, detects, from each image, a coordinate of a feature point in the image, calculates—an internal parameter for each camera by using the feature point, calculates, for each camera, a magnitude of error in the coordinate of the feature point, calculates a value for an external parameter of the cameras by using the magnitude of the error, the coordinate of the feature point, and an error function set so that a penalty for error in calculating the external parameter decreases as the magnitude of the error in the coordinate of the feature point in the image increases.

Abstract: The invention relates to a method for photometrical charting of a reflectance standard (Z) illuminated by a license plate light (1). A camera (4) releasable by a control unit (5) is arranged and aligned relative to a holding device (3) configured for holding a reflectance standard (Z) in such a way, that a luminance density image (B1, B2) recorded by the camera (4) at least covers the reflective surface (Z.1) of a reflectance standard (Z) held by the holding device (3). A license plate light (1) is arranged in a positioning device (2) which is movable by the control unit (5). The positioning device (2) is controlled by the control unit (5) in such a way that the license plate light (1) arranged therein is traversed to at least one position (P1, P2), optionally to multiple positions (P1, P2) sequentially, relative to the reflectance standard (Z) arranged in the holding device (3) and held there. In each position (P1, P2), recording of at least one luminance density image (B1, B2) is triggered.

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: Example techniques are described for coding video data by obtaining a block of video data, obtaining an adaptive parameter set, determining a set of adaptive loop filter parameters for a plurality of filters for the block of video data based on the adaptive parameter set, wherein a plurality of adaptive loop parameters of the set of adaptive loop filter parameters are signaled using the same signaling parameter for each of the plurality of filters of the adaptive parameter set, and coding the block of video data using the set of adaptive loop filter parameters. The example techniques can be performed as part of an encoding or decoding process and/or by an encoder or a decoder.

Abstract: A method for characterizing a subsurface formation includes receiving image data of the subsurface formation obtained by a sensor tool and receiving a plurality of non-image data logs, each non-image data log being obtained by a different type of sensor tool. The method also includes performing an electrofacies analysis on the plurality of non-image data logs where the electrofacies analysis includes defining clusters wherein each cluster has a similar property to provide a plurality of electrofacies blocks with each electrofacies block representing a depth interval. The method further includes partitioning the image data into multiple high-resolution depth segments that share a similar property, feature, and/or pattern for each electrofacies block and assigning data from the plurality of non-image data logs into a corresponding high-resolution depth segment to provide a high-resolution data log that characterizes the subsurface formation.

Abstract: Different implementations are described, particularly implementations for video encoding and decoding based on a linear model responsive to neighboring samples are presented. Accordingly, for a block being encoded or decoded in a picture, at least one spatial neighboring template is determined and at least one linear model parameter is determined based on reconstructed samples of the at least one spatial neighboring template. In a first embodiment, the number N of reconstructed samples corresponds to N=2k with k chosen so that n is the maxim integer smaller than sum of the block width and block height. In a second embodiment, the an offset for the relative position of a first sample in the template among samples of a left, respectively top, neighboring line of the block is determined. In a third embodiment, the number of reconstructed samples is set to a higher number in the larger dimension of the block.

Abstract: There is provided an image processing apparatus including a display image generation section configured to generate display image data by performing a display projection process in a case where panorama image data to be a display target is judged to be a full circumference panorama image.

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.