The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 06, 2026

Filed:

Apr. 29, 2022
Applicant:

Interdigital Patent Holdings, Inc., Wilmington, DE (US);

Inventors:

Dong Tian, New York, NY (US);

Jiahao Pang, New York, NY (US);

Maurice Quach, Gif-sur-Yvette, FR;

Giuseppe Valenzise, Gif-sur-Yvette, FR;

Frederic Dufaux, Gif-sur-Yvette, FR;

Assignee:

InterDigital Patent Holdings, Inc., Wilmington, DE (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 9/00 (2006.01); G06T 17/00 (2006.01);
U.S. Cl.
CPC ...
G06T 9/002 (2013.01); G06T 17/00 (2013.01); G06T 2210/56 (2013.01);
Abstract

In one implementation, a learnable transformation TearingTransform over 3D point cloud data is proposed. The TearingTransform could decompose point clouds into two channels: a low rank channel and a sparse channel. The low rank channel corresponds to a codeword representing a rough shape of a point cloud. The sparse channel appears as an image-like data representing residual information that can refine the reconstructed point locations. In an encoder based on TearingTransform, a PN module is used to generate the codeword from the input point cloud; a FN module is used to reconstruct a preliminary point cloud from the codeword and an initial grid image; and a TN module modifies the initial grid image to generate an adjusted grid image. The codeword and the adjusted grid image are compressed. At the decoder, the point cloud can be reconstructed based on the decompressed codeword and adjusted grid image.


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