Disclosed in some examples are methods, systems, devices, and machine-readable mediums which encode data into a geometric representation for more efficient and secure processing. For example, data may be converted from a binary representation to a geometric representation using an encoding dictionary. The encoding dictionary specifies one or more geometric shapes used in the encoding. The geometrically encoded data may comprise one or more identifiers that specify one or more of the shapes of the encoding dictionary that best match one or more detected features in an image corresponding to the data. In some examples, the geometrically encoded data may also comprise one or more transformations of the one or more shapes to reduce error in the geometric encoding.

Disclosed in some examples are methods, systems, devices, and machine-readable mediums which encode data into a geometric representation for more efficient and secure processing. For example, data may be converted from a binary representation to a geometric representation using an encoding dictionary. The encoding dictionary specifies one or more geometric shapes used in the encoding. The geometrically encoded data may comprise one or more identifiers that specify one or more of the shapes of the encoding dictionary that best match one or more detected features in an image corresponding to the data. In some examples, the geometrically encoded data may also comprise one or more transformations of the one or more shapes to reduce error in the geometric encoding.

An image processing method includes: acquiring first image data of a first image, the first image data including pixel values of a plurality of pixels in the first image; a first compression-allowed region existing in the first image, obtaining region expression information of the first compression-allowed region, the first compression-allowed region including a region where a plurality of first pixels are located, and a difference between pixel values of any two first pixels in the plurality of first pixels being within a preset range; determining a region pixel value of the first compression-allowed region according to a pixel value of at least one first pixel in the first compression-allowed region; and generating second image data of the first image, the second image data including region expression information and the region pixel value of the first compression-allowed region.

Systems and methods for obtaining hand images are provided. A method, performed by at least one processor that implements at least one network, includes obtaining a single source image, a three-dimensional (3D) hand pose of a first hand in the single source image, and a 3D target hand pose; and generating an image of a second hand, that has an appearance of the first hand and a pose of the 3D target hand pose, based on the single source image, the 3D hand pose, and the 3D target hand pose.

Systems and methods for obtaining hand images are provided. A method, performed by at least one processor that implements at least one network, includes obtaining a single source image, a three-dimensional (3D) hand pose of a first hand in the single source image, and a 3D target hand pose; and generating an image of a second hand, that has an appearance of the first hand and a pose of the 3D target hand pose, based on the single source image, the 3D hand pose, and the 3D target hand pose.

In some examples, an apparatus for mesh coding includes processing circuitry. The processing circuitry receives a bitstream carrying encoded information of a mesh that is partitioned into patches. The bitstream includes a first portion and a second portion, the first portion includes patch information, the second portion includes patch boundary information that indicates at least a first edge of a first patch and a second edge of a second patch are a pair of edge mates. The processing circuitry decodes the first portion to obtain the patch information, and decodes the second portion to obtain the patch boundary information. The processing circuitry generates a reconstructed mesh based on the patch information and the patch boundary information, the first edge and the second edge are mapped into a same edge in the reconstructed mesh to connect the first patch with the second patch.

In some examples, an apparatus for mesh coding includes processing circuitry. The processing circuitry receives a bitstream carrying encoded information of a mesh that is partitioned into patches. The bitstream includes a first portion and a second portion, the first portion includes patch information, the second portion includes patch boundary information that indicates at least a first edge of a first patch and a second edge of a second patch are a pair of edge mates. The processing circuitry decodes the first portion to obtain the patch information, and decodes the second portion to obtain the patch boundary information. The processing circuitry generates a reconstructed mesh based on the patch information and the patch boundary information, the first edge and the second edge are mapped into a same edge in the reconstructed mesh to connect the first patch with the second patch.

The present disclosure relates to the transmission of sets of data and metadata and more particularly to the transmission of light-field contents. Light-field data take up large amounts of storage space which makes storage cumbersome and processing less efficient. In addition, light-field acquisition devices are extremely heterogeneous and each camera has its own proprietary file format. Since acquired light-field data from different cameras have a diversity of formats a complex processing is induced on the receiver side. To this end, it is proposed a method for encoding a signal representative of a light-field content in which the parameters representing the rays of light sensed by the different pixels of the sensor are mapped on the sensor. A second set of encoded parameters are used to reconstruct the light-field content from the parameters representing the rays of light sensed by the different pixels of the sensor.

The present disclosure relates to the transmission of sets of data and metadata and more particularly to the transmission of light-field contents. Light-field data take up large amounts of storage space which makes storage cumbersome and processing less efficient. In addition, light-field acquisition devices are extremely heterogeneous and each camera has its own proprietary file format. Since acquired light-field data from different cameras have a diversity of formats a complex processing is induced on the receiver side. To this end, it is proposed a method for encoding a signal representative of a light-field content in which the parameters representing the rays of light sensed by the different pixels of the sensor are mapped on the sensor. A second set of encoded parameters are used to reconstruct the light-field content from the parameters representing the rays of light sensed by the different pixels of the sensor.

A method and system for converting a filled shape to a run length encoded RLE vector is disclosed. The method includes creating a virtual pixel array of pixel cells corresponding to a graphical array of pixels comprising the filled shape. The method includes determining a border on the virtual pixel array corresponding to the filled shape, storing a pixel-type value within each pixel cell that corresponds to a border line element within the pixel, and creating a shape RLE group corresponding to a line of pixels aligned along a first axis of the virtual pixel array. Once created, the position and length of the shape RLE group is stored as an RLE vector. The method for clipping filled shapes is also disclosed, which includes converting a clipping region to a clip RLE group, then comparing the clip RLE group to the shape RLE group, forming a clipped image RLE vector.