Aspects of the disclosure include methods, apparatuses, and non-transitory computer-readable storage mediums for point cloud compression. An apparatus includes processing circuitry that encodes information associated with a current point of a plurality of points of a point cloud. The plurality of points is partitioned into multiple bounding boxes. The processing circuitry determines whether a first size of a hash table is greater than or equal to a predetermined maximum size of the hash table. The processing circuitry removes information associated with non-boundary points in the multiple bounding boxes from the hash table based on the first size of the hash table being greater than or equal to the predetermined maximum size of the hash table. The processing circuitry stores the encoded information associated with the current point into the hash table.

In a method of point cloud attribute decoding in a point cloud decoder, a sorting method of a set of points of a point is determined. A quantization parameter for quantizing transform coefficients of a Haar-based attribute coding of the point cloud is determined based on first signaling information in a coded bitstream of the point cloud. The Haar-based attribute coding is configured to perform point cloud compression on the set of points of the point cloud based on a Haar transform. An entropy decoding method for decoding the quantized transform coefficients is determined according to the quantization parameter that is determined based on the first signaling information. The quantized transform coefficients are further determined based on the entropy decoding method. Attributes of the point cloud are reconstructed based on the determined sorting method and the determined quantized transform coefficients.

A method of autonomous driving collaborative sensing, including receiving at least one sensor input, determining a pose based on the at least one sensor input, synchronizing the at least one sensor input to the pose, transforming the at least one sensor input, the pose and the synchronization, determining an intermediate representation based on the transform, determining an object extraction based on the transform, aggregating the at least one sensor input, the intermediate representation and the object extraction and determining a birds eye view of the aggregation.

A method, apparatus, and computer-readable medium for point cloud coefficient coding are provided. The method may include receiving compressed point cloud data based on set-index values and symbol-index values; and entropy-decoding the set-index values based on the compressed point cloud data. The symbol-index values may be bypass-decoded based on the compressed point cloud data, and the set-index values and symbol-index values may be combined into transform coefficients associated with cloud point data.

An image coding method of coding an image on a per coding unit basis, the method comprising: applying a frequency transform to luminance data and chrominance data of transform units in the coding unit including predetermined blocks each corresponding to one or more of the transform units; and coding the luminance data and the chrominance data to which the frequency transform has been applied to generate a bitstream in which the luminance data and the chrominance data are grouped on a per predetermined block basis.

An image decoding apparatus obtain pieces of coded data that is included in a bitstream and generated by coding tiles. Tile boundary independence information is further obtained from the bitstream, with the tile boundary independence information indicating whether each of boundaries between the tiles is one of a first boundary or a second boundary. The pieces of coded data are decoded to generate image data of the tiles. Image data of a first tile is generated by decoding a first code string included in first coded data with reference to decoding information of a decoded tile when the tile boundary independence information indicates the first boundary, and by decoding the first code string without referring to the decoding information of the decoded tile when the tile boundary independence information indicates the second boundary.

An image coding method of coding an image on a per coding unit basis, the method comprising: applying a frequency transform to luminance data and chrominance data of transform units in the coding unit including predetermined blocks each corresponding to one or more of the transform units; and coding the luminance data and the chrominance data to which the frequency transform has been applied to generate a bitstream in which the luminance data and the chrominance data are grouped on a per predetermined block basis.

Described is a method for compressing measurement data of a volume which comprises an object, wherein a digital representation of the object comprising a plurality of image information items of the object is generated by the measurement. The method comprises: providing an analysis specification for at least one predetermined region in the measurement volume; determining the measurement data in the measurement volume; defining a subset of the measurement data which corresponds to the at least one predetermined region of the analysis specification; selecting at least one compression rate for the subset on the basis of the analysis specification; selecting a first compression method for a remainder of the measurement data outside the subset, the first compression method having a compression rate; compressing the subset with the selected at least one compression rate, and compressing the remainder of the measurement data by way of the first compression method.

An image processing apparatus performs, in a case where an image targeted for processing is rotated, predetermined compression processing on a predetermined block targeted for processing by referring to a block which differs according to a rotational angle. Then, the image processing apparatus performs predetermined decompression processing on compressed data corresponding to the predetermined block by referring to a block referred to in the predetermined compression processing performed on the predetermined block.

The present invention refers to removal of redundant information from plenoptic point cloud data, reducing the number of bits needed to represent them and thus making the plenoptic point cloud data more suitable to be transferred through a medium of limited bandwidth. The proposed solution is based on predictive differential coding, using the standard color channel of a point clouds as a reference for plenoptic data, and on the application of transforms for greater data compression.