Invention Application
- Patent Title: HIERARCHICAL POINT CLOUD COMPRESSION
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Application No.: US16508202Application Date: 2019-07-10
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Publication No.: US20200021856A1Publication Date: 2020-01-16
- Inventor: Alexandros Tourapis , Jungsun Kim , Valery G. Valentin , Fabrice A. Robinet , Yeping Su , Khaled Mammou
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Main IPC: H04N19/91
- IPC: H04N19/91 ; H04N19/20 ; G06T9/00 ; H04N19/13 ; H04N19/124

Abstract:
A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute information for the point cloud. To compress the attribute information, multiple levels of detail are generated based on an ordering of the points according to a space filling curve and attribute values are predicted. The attribute values may be predicted simultaneously while points are being assigned to different levels of detail. A decoder follows a similar prediction process based on level of details. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud compressed using level of detail attribute compression. In some embodiments, attribute correction values may take into account an influence factor of respective points in a given level of detail on attributes in other levels of detail.
Public/Granted literature
- US10911787B2 Hierarchical point cloud compression Public/Granted day:2021-02-02
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