Patents by Inventor Borut Zalik

Borut Zalik 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).

  • Method and apparatus for near-lossless compression and decompression of 3D meshes and point clouds
    Patent number: 9734595
    Abstract: Fast near-lossless compression includes four steps: voxelization of the 3D geometry, decomposing the 3D voxel space into consecutive slices, encoding each slice with chain codes, and compressing the chain code with entropy coding. The decompression works by applying the aforementioned steps in inverse order. Smoothing over the voxels' centers is applied afterwards in order to reconstruct the input 3D points. Optionally 3D mesh is reconstructed over the approximate point cloud in order to obtain the original geometric object. The quality of the compression/decompression is controlled by resolution of the 3D voxel grid.
    Type: Grant
    Filed: September 24, 2014
    Date of Patent: August 15, 2017
    Assignee: UNIVERSITY OF MARIBOR
    Inventors: Niko Lukac, Borut Zalik
  • Light detection and ranging (LiDAR)data compression and decompression methods and apparatus
    Patent number: 9300321
    Abstract: Methods and apparatus for lossless LiDAR LAS file compression and decompression are provided that include predictive coding, variable-length coding, and arithmetic coding. The predictive coding uses four different predictors including three predictors for x, y, and z coordinates and a constant predictor for scalar values, associated with each LiDAR data point.
    Type: Grant
    Filed: November 4, 2011
    Date of Patent: March 29, 2016
    Assignee: University of Maribor
    Inventors: Borut Zalik, Domen Mongus
  • METHOD AND APPARATUS FOR NEAR-LOSSLESS COMPRESSION AND DECOMPRESSION OF 3D MESHES AND POINT CLOUDS
    Publication number: 20160086353
    Abstract: Fast near-lossless compression includes four steps: voxelization of the 3D geometry, decomposing the 3D voxel space into consecutive slices, encoding each slice with chain codes, and compressing the chain code with entropy coding. The decompression works by applying the aforementioned steps in inverse order. Smoothing over the voxels' centers is applied afterwards in order to reconstruct the input 3D points. Optionally 3D mesh is reconstructed over the approximate point cloud in order to obtain the original geometric object. The quality of the compression/decompression is controlled by resolution of the 3D voxel grid.
    Type: Application
    Filed: September 24, 2014
    Publication date: March 24, 2016
    Inventors: Niko Lukac, Borut Zalik
  • LIGHT DETECTION AND RANGING (LiDAR)DATA COMPRESSION AND DECOMPRESSION METHODS AND APPARATUS
    Publication number: 20120124113
    Abstract: Methods and apparatus for lossless LiDAR LAS file compression and decompression are provided that include predictive coding, variable-length coding, and arithmetic coding. The predictive coding uses four different predictors including three predictors for x, y, and z coordinates and a constant predictor for scalar values, associated with each LiDAR data point.
    Type: Application
    Filed: November 4, 2011
    Publication date: May 17, 2012
    Applicant: UNIVERSITY OF MARIBOR
    Inventors: Borut Zalik, Domen Mongus