IP Library › Granted Patent US 11,151,748
Granted Patent B2
US 11,151,748 · App. 16/509,677 · Granted Oct 19, 2021

3D point cloud data encoding/decoding method and apparatus

Inventors: Eun Young Chang (Daejeon, KR); Ji Hun Cha (Daejeon, KR); Su Gil Choi (Daejeon, KR); Euee Seon Jang (Seoul, KR); Min Ku Lee (Seoul, KR); You Sun Park (Seoul, KR)
Assignees: Electronics and Telecommunications Research Institute; IUCF-HYU (INDUSTRY-UNIVERSITY COOPERATION FOUNDATION HANYANG UNIVERSITY)
G06T9/00
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Quick Facts
Patent No.
US 11,151,748
App. No.
16/509,677
Granted
Oct 19, 2021
Kind
B2
Abstract

There is provided a method of decoding point cloud data, the method comprising: decoding a bitstream to obtain attribute information of point cloud data, acquiring attributes of the point cloud data using the decoded attribute information and reconstructing the point cloud data using the obtained attributes, wherein the attribute information contains bit depth information of each attribute of the point cloud data.

Claims (35)

1. A method of decoding three-dimensional point cloud data, the method comprising:

decoding a bitstream to obtain attribute information of the three-dimensional point cloud data;

acquiring attributes of the three-dimensional point cloud data using the decoded attribute information; and

reconstructing the three-dimensional point cloud data using the obtained attributes,

wherein the attribute information is bit depth information of transparency, reflection, and normal of the three-dimensional point cloud data.

2. The method according to claim 1 , wherein the bit depth information is signaled in a sequence parameter set.

3. The method according to claim 1 , wherein the attributes of the three-dimensional point cloud data are obtained by performing a clipping operation according to the bit depth information.

4. The method according to claim 1 , wherein the acquiring of the attributes of the three-dimensional point cloud data comprises transforming a bit depth of each attribute from the three-dimensional point cloud data using the bit depth information.

5. The method according to claim 4 , wherein the acquiring of the attributes from the three-dimensional point cloud data comprises:

generating an error correction table; and

acquiring the attributes of the three-dimensional point cloud data using the error correction table.

6. The method according to claim 5 , wherein the generating of the error correction table comprises:

constructing the first column of the error correction table on the basis of bit-depth-converted attributes of the three-dimensional point cloud data; and

constructing the second column of the error correction table by decoding the bitstream.

7. The method according to claim 6 , wherein the constructing of the first column of the error correction table comprises:

reconstructing bit-depth-converted attribute values of the three-dimensional point cloud data;

removing duplicate values among the reconstructed attribute values of the three-dimensional point cloud data; and

constructing the first column of the error correction table by sorting the remaining attribute values resulting from the removing of the duplicate values.

8. The method according to 6 , wherein the acquiring of the attributes of the three-dimensional point cloud data using the error correction table comprises reconstructing the attributes of the three-dimensional point cloud data using information in the first column and information in the second column of the error correction table.

9. An apparatus for decoding three-dimensional point cloud data, the apparatus comprising:

an inverse transform module; and

a reconstruction module,

wherein the inverse transform module decodes a bitstream to obtain information on an attribute of the three-dimensional point cloud data,

the reconstruction module acquires the attribute of the three-dimensional point cloud data using the information on the attribute of the three-dimensional point cloud data and reconstructs the three-dimensional point cloud data using the obtained attribute, and

the information on the attribute is bit depth information of transparency, reflection, and normal of the three-dimensional point cloud data.

10. The apparatus according to claim 9 , wherein the bit depth information is signaled in a sequence parameter set.

11. The apparatus according to claim 9 , wherein the attribute of the three-dimensional point cloud data is obtained by performing a clipping operation on the basis of the bit depth information.

12. The apparatus according to claim 9 , wherein the inverse transform module transforms a bit depth of the attribute of the three-dimensional point cloud data using the bit depth information.

13. The apparatus according to claim 12 , further comprising a table generation module,

wherein the table generation module generates an error correction table and acquires an attribute of the three-dimensional point cloud data using the error correction table.

14. A computer-readable non-transitory recording medium in which data that is received by and decoded in three-dimensional point cloud data decoding apparatus so as to be used for reconstruction of the three-dimensional point cloud data is stored,

wherein the data includes information on an attribute of the three-dimensional point cloud data,

the decoded information on the attribute is used to acquire the attribute of the three-dimensional point cloud data,

the acquired attribute is used to reconstruct the three-dimensional point cloud data, and

the information on the attribute is bit depth information of transparency, reflection, and normal of the three-dimensional point cloud data.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 12, 2019
From: CHANG, EUN YOUNG; CHA, JI HUN; CHOI, SU GIL; JANG, EUEE SEON; LEE, MIN KU; PARK, YOU SUN
To: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE; IUCF-HYU (INDUSTRY-UNIVERSITY COOPERATION FOUNDATION HANYANG UNIVERSITY)
Reel/Frame 049734/0261 →
Priority Claims (2)
KR 10-2018-0081767 · Jul 13, 2018 · national
KR 10-2019-0084582 · Jul 12, 2019 · national
Continuity (1)
Related Publication 20200043199A1 · Feb 6, 2020
Cited By (2)
US 12,335,537 US 12,632,993