Invention Application
- Patent Title: LOSSY COMPRESSION OF POINT CLOUD OCCUPANCY MAPS
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Application No.: PCT/KR2020/000142Application Date: 2020-01-03
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Publication No.: WO2020141946A1Publication Date: 2020-07-09
- Inventor: JOSHI, Rajan Laxman , BUDAGAVI, Madhukar , DAWAR, Neha
- Applicant: SAMSUNG ELECTRONICS CO., LTD.
- Applicant Address: 129, Samsung-ro Yeongtong-gu Suwon-si Gyeonggi-do 16677 KR
- Assignee: SAMSUNG ELECTRONICS CO., LTD.
- Current Assignee: SAMSUNG ELECTRONICS CO., LTD.
- Current Assignee Address: 129, Samsung-ro Yeongtong-gu Suwon-si Gyeonggi-do 16677 KR
- Agency: KWON, Hyuk-Rok et al.
- Priority: US62/788,196 20190104; US62/789,663 20190108; US62/790,177 20190109; US62/816,471 20190311; US62/836,790 20190422; US62/841,326 20190501; US62/869,652 20190702; US16/730,532 20191230
- Main IPC: G06T9/00
- IPC: G06T9/00 ; H04N19/184 ; G06T15/10
Abstract:
A decoding device, an encoding device and methods for point cloud encoding and decoding are disclosed. The method for decoding includes decoding an attribute frame, a geometry frame, and occupancy map frame from a received bitstream. The attribute and geometry frames include pixels representing points of a 3D point cloud and the occupancy map frame includes values. The method also includes generating a binary occupancy map frame based on comparing the values in the occupancy map frame to a scaling threshold to determine whether the pixels included in the attribute and geometry frames at corresponding positions in the binary occupancy map frame are valid pixels. The method further includes generating the 3D point cloud using the attribute frame, the geometry frame, and the binary occupancy map frame.
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