Techniques are provided for using one or more machine learning systems to process input data including image data. The input data including the image data can be obtained, and at least one machine learning system can be applied to at least a portion of the image data to determine at least one color component value for one or more pixels of at least the portion of the image data. Based on application of the at least one machine learning system to at least the portion of the image data, output image data for a frame of output image data can be generated. The output image data includes at least one color component value for one or more pixels of the frame of output image data. Application of the at least one machine learning system causes the output image data to have a reduced dimensionality relative to the input data.

Various embodiments are provided which relate to the field of image signal processing, specifically relating to the generation of a depth-view image of a scene from a set of input images of a scene taken at different cameras of a multi-view imaging system. A method comprises obtaining a frame of an image of a scene and a frame of a depth map regarding the frame of the image. A minimum depth and a maximum depth of the scene and a number of depth layers for the depth map are determined. Pixels of the image are projected to the depth layers to obtain projected pixels on the depth layers; and cost values for the projected pixels are determined. The cost values are filtered and a filtered cost value is selected from a layer to obtain a depth value of a pixel of an estimated depth map.

An apparatus and method for processing a captured image and, more particularly, for processing a captured image comprising a document. In one embodiment, an apparatus comprising a camera to capture documents is described. In another embodiment, a method for processing a captured image that includes a document comprises the steps of distinguishing an imaged document from its background, adjusting the captured image to reduce distortions created from use of a camera and properly orienting the document is described.

A computer system running image processing software receives identification of a geographical area for which an oblique-mosaic image is desired; assigns surface locations to pixels included in an oblique-mosaic pixel map of the geographical area encompassing multiple source images, the oblique-mosaic pixel map being part of a mathematical model of a virtual camera looking down at an oblique angle onto the geographical area; creates a ground elevation model of the ground and vertical structures within the oblique-mosaic pixel map using overlapping source images of the geographical area, wherein the source images were captured at an oblique angle and compass direction similar to the oblique angle and compass direction of the virtual camera; and reprojects, with the mathematical model, source oblique image pixels of the overlapping source images for pixels included in the oblique-mosaic pixel map using the ground elevation model to thereby create an oblique-mosaic image of the geographical area.

The present disclosure relates to methods and apparatus for graphics processing. The apparatus may configure a plurality of billboards associated with a viewpoint of a first frame of a plurality of frames, the plurality of billboards being configured in one or more layers at least partially around the viewpoint, the configuration of the plurality of billboards being based on one or more volumetric elements between at least one of the plurality of billboards and the viewpoint. The apparatus may also render an image associated with each of the one or more volumetric elements between at least one billboard of the plurality of billboards and the viewpoint, the rendered image including a set of pixels. The apparatus may also store data in the at least one billboard based on the rendered image associated with each of the one or more volumetric elements, the data corresponding to the set of pixels.

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.

An encoding device, a method of encoding, and decoding device for point cloud compression of a 3D point cloud. The encoding device is configured to generate, for the three-dimensional (3D) point cloud, at least a set of geometry frames and a set of occupancy map frames for points of the 3D point cloud. The encoding device is also configured to select an occupancy precision value based on a quantization parameter (QP) associated with at least one generated geometry frame in the set of geometry frames, subsample at least one occupancy map frame in the set of occupancy map frames based on the selected occupancy precision value, and encode the set of geometry frames and the set of occupancy map frames into a bitstream for transmission.

The present disclosure relates to a method of encoding a three-dimensional image including a point cloud. According to an embodiment of the present disclosure, a method of encoding a three-dimensional image may include determining a spatial area in a three-dimensional space represented by the point cloud, projecting, onto a two-dimensional plane, a plurality of points included in the point cloud to generate a plurality of patches, determining at least one patch corresponding to the determined spatial area, down-sampling at least one patch according to a predefined rule, generating a two-dimensional image by packing the at least one down-sampled patch and the plurality of patches corresponding to areas other than the determined spatial area, and generating and outputting a bitstream including data in which the two-dimensional image is compressed and information related to the down-sampling performed to generate the two-dimensional image.

Provided is an electronic device for stabilizing a 360-degree video, the electronic device including a memory storing one or more instructions, and a processor for executing the one or more instructions stored in the memory, wherein the processor is configured to execute the one or more instructions to: when a 360-degree video is reproduced, allocate probability values to a plurality of pixels included in a frame of the 360-degree video, based on a possibility that each of the plurality of pixels is included in a user's field of view (FOV), determine a three-dimensional (3D) rotation for the 360-degree video, based on the allocated probability values, and generate a stabilized 360-degree video by applying the 3D rotation to the 360-degree video.

The invention relates to a method for imaging a three-dimensional object to be examined. According to said method, a three-dimensional parameterized area is determined which is in conformity with an anatomic structure of the three-dimensional object to be examined. The three-dimensional parameterized area is imaged onto a two-dimensional parameterized area. The three-dimensional object to be examined is represented by imaging pixels that are associated with the three-dimensional parameterized area onto the two-dimensional parameterized area. The invention further relates to a method for determining a camera position in a three-dimensional image recording of an object to be examined. The invention also relates to a method for representing a section of an object to be examined. The invention finally relates to a device for imaging a three-dimensional object to be examined.