Patents by Inventor Maja Krivokuca

Maja Krivokuca has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20210034696
    Abstract: The systems and methods discussed herein implement a volumetric approach to point cloud representation, compression, decompression, communication, or any suitable combination thereof. The volumetric approach can be used for both geometry and attribute compression and decompression, and both geometry and attributes can be represented by volumetric functions. To create a compressed representation of the geometry or attributes of a point cloud, a suitable set of volumetric functions are transformed, quantized, and entropy-coded. When decoded, the volumetric functions are sufficient to reconstruct the corresponding geometry or attributes of the point cloud.
    Type: Application
    Filed: October 21, 2020
    Publication date: February 4, 2021
    Inventors: Philip A. Chou, Maxim Koroteev, Maja Krivokuca, Robert James William Higgs, Charles Loop
  • Patent number: 10853447
    Abstract: The systems and methods discussed herein implement a volumetric approach to point cloud representation, compression, decompression, communication, or any suitable combination thereof. The volumetric approach can be used for both geometry and attribute compression and decompression, and both geometry and attributes can be represented by volumetric functions. To create a compressed representation of the geometry or attributes of a point cloud, a suitable set of volumetric functions are transformed, quantized, and entropy-coded. When decoded, the volumetric functions are sufficient to reconstruct the corresponding geometry or attributes of the point cloud.
    Type: Grant
    Filed: January 17, 2019
    Date of Patent: December 1, 2020
    Assignee: 8i Limited
    Inventors: Philip A. Chou, Maxim Koroteev, Maja Krivokuca, Robert James William Higgs, Charles Loop
  • Publication number: 20190228050
    Abstract: The systems and methods discussed herein implement a volumetric approach to point cloud representation, compression, decompression, communication, or any suitable combination thereof The volumetric approach can be used for both geometry and attribute compression and decompression, and both geometry and attributes can be represented by volumetric functions. To create a compressed representation of the geometry or attributes of a point cloud, a suitable set of volumetric functions are transformed, quantized, and entropy-coded. When decoded, the volumetric functions are sufficient to reconstruct the corresponding geometry or attributes of the point cloud.
    Type: Application
    Filed: January 17, 2019
    Publication date: July 25, 2019
    Inventors: Philip A. Chou, Maxim Koroteev, Maja Krivokuca, Robert James William Higgs, Charles Loop
  • Patent number: 10192353
    Abstract: A machine can be specially configured to generate, compress, decompress, store, access, communicate, or otherwise process a special data structure that represents a three-dimensional surface of an object. The data structure can be or include a pruned sparse voxel octree in which each node in the octree corresponds to a different block of the octree, and children of the node in the octree correspond to the smaller blocks that subdivide the block. Moreover, each block occupied by the surface or a portion thereof can define its enclosed surface or portion thereof explicitly or implicitly.
    Type: Grant
    Filed: October 17, 2017
    Date of Patent: January 29, 2019
    Assignee: 8i Limited
    Inventors: Philip A. Chou, Maja Krivokuca, Robert James William Higgs, Charles Loop, Eugene Joseph d'Eon
  • Publication number: 20180053324
    Abstract: A method for encoding a point cloud representing a scene using an encoder including a processor in communication with a memory includes steps of fitting a parameterized surface onto the point cloud having input points representing locations in a three-dimensional space, generating model parameters from the parameterized surface, computing corresponding points from the parameterized surface, wherein the corresponding points correspond to the input points, computing residual data based on the corresponding points and the input points of the point cloud, compressing the model parameters and residual data to yield coded model parameters and coded residual data, respectively, and producing a bit-stream from the coded model parameters of the parameterized surface and the coded residual data.
    Type: Application
    Filed: August 19, 2016
    Publication date: February 22, 2018
    Inventors: Robert Cohen, Maja Krivokuca, Anthony Vetro, Chen Feng, Yuichi Taguchi