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:
Sep. 17, 2019

Filed:

Jan. 26, 2018
Applicant:

Dolby Laboratories Licensing Corporation, San Francisco, CA (US);

Inventors:

Wang Lin Lai, Richardson, TX (US);

Shujie Liu, Amherst, NY (US);

Dong Tian, Plainsboro, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2006.01); G06T 7/12 (2017.01); H04N 19/182 (2014.01); H04N 19/14 (2014.01); H04N 19/117 (2014.01); H04N 19/61 (2014.01); H04N 19/46 (2014.01); H04N 13/00 (2018.01); H04N 19/597 (2014.01); H04N 13/128 (2018.01);
U.S. Cl.
CPC ...
G06T 5/002 (2013.01); G06T 7/12 (2017.01); H04N 13/128 (2018.05); H04N 19/117 (2014.11); H04N 19/14 (2014.11); H04N 19/182 (2014.11); H04N 19/46 (2014.11); H04N 19/597 (2014.11); H04N 19/61 (2014.11); G06T 2207/10028 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20028 (2013.01); H04N 2213/003 (2013.01);
Abstract

Several implementations relate, for example, to depth encoding and/or filtering for 3D video (3DV) coding formats. A sparse dyadic mode () for partitioning macroblocks (MBs) along edges in a depth map is provided as well as techniques for trilateral (or bilateral) filtering of depth maps that may include adaptive selection between filters sensitive to changes in video intensity and/or changes in depth. One implementation partitions a depth picture, and then refines the partitions based on a corresponding image picture. Another implementation filters a portion of a depth picture based on values for a range of pixels in the portion. For a given pixel in the portion that is being filtered, the filter weights a value of a particular pixel in the range by a weight that is based on one or more of location distance, depth difference, and image difference.


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