IP Library Granted Patent US 12,190,551
Granted Patent B2
US 12,190,551 · App. 17/953,432 · Granted Jan 7, 2025

Three-dimensional data encoding method, three- dimensional data decoding method, three-dimensional data encoding device, and three-dimensional data decoding device

Inventors: Toshiyasu Sugio (Osaka, JP); Noritaka Iguchi (Osaka, JP)
Assignee: PANASONIC INTELLECTUAL PROPERTY CORPORATION OF AMERICA
G06T9/40
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Quick Facts
Patent No.
US 12,190,551
App. No.
17/953,432
Granted
Jan 7, 2025
Kind
B2
Abstract

A three-dimensional data encoding method includes: obtaining a plurality of three-dimensional points; generating a prediction tree using the plurality of three-dimensional points; predictive-encoding geometry information of the plurality of three-dimensional points using the prediction tree; and generating a bitstream including encoded data obtained from the predictive-encoding, a total number of three-dimensional points included in the prediction tree, and identification information indicating whether or not to rearrange the plurality of three-dimensional points in Morton order.

Claims (54)

1. A three-dimensional data encoding method comprising:

obtaining a plurality of three-dimensional points;

generating a prediction tree using the plurality of three-dimensional points;

predictive-encoding geometry information of the plurality of three-dimensional points using the prediction tree; and

generating a bitstream including encoded data obtained from the predictive-encoding, a total number of three-dimensional points included in the prediction tree, and identification information indicating whether or not to rearrange the plurality of three-dimensional points in Morton order.

2. The three-dimensional data encoding method according to claim 1 , further comprising:

encoding attribute information of the plurality of three-dimensional points using the total number of the three-dimensional points.

3. The three-dimensional data encoding method according to claim 2 , wherein

in the encoding of the attribute information, the attribute information of the plurality of three-dimensional points is encoded after the plurality of three-dimensional points are rearranged using the total number of the three-dimensional points, and

in the generating of a bitstream, the bitstream further including the attribute information encoded is generated.

4. The three-dimensional data encoding method according to claim 2 , wherein

the encoding of the attribute information includes:

generating a hierarchical structure composed of one or more layers, by layering the three-dimensional points; and

encoding the attribute information of each of the plurality of three-dimensional points using the hierarchical structure.

5. The three-dimensional data encoding method according to claim 4 , wherein

if the plurality of three-dimensional points that are not arranged in the Morton order are layered in the generating of the hierarchical structure, the identification information indicates that the plurality of three-dimensional points are not to be arranged in the Morton order.

6. The three-dimensional data encoding method according to claim 4 , wherein

if the plurality of three-dimensional points that are arranged in the Morton order are layered in the generating of the hierarchical structure, the identification information indicates that the plurality of three-dimensional points are to be arranged in the Morton order.

7. The three-dimensional data encoding method according to claim 4 , wherein

the hierarchical structure is composed of a single layer.

8. The three-dimensional data encoding method according to claim 4 , wherein

the hierarchical structure is generated by classifying each of the plurality of three-dimensional points into one of the one or more layers so that a distance between three-dimensional points belonging to a higher layer is greater than a distance between three-dimensional points belonging to a lower layer.

9. A three-dimensional data decoding method comprising:

obtaining a bitstream including encoded data and a total number of three-dimensional points included in a prediction tree; and

calculating geometry information of a plurality of three-dimensional points by predictive-decoding the encoded data using the prediction tree obtained from the bitstream and the total number of the three-dimensional points.

10. The three-dimensional data decoding method according to claim 9 , further comprising:

calculating attribute information of the plurality of three-dimensional points by decoding the encoded data, according to whether or not the bitstream includes identification information indicating whether or not to rearrange the plurality of three-dimensional points in Morton order.

11. The three-dimensional data decoding method according to claim 10 ,

in the decoding, when the bitstream includes the identification information:

(i) when the identification information indicates that the plurality of three-dimensional points are not to be arranged in the Morton order, a hierarchical structure composed of one or more layers is generated by layering the plurality of three-dimensional points based on the geometry information of the plurality of three-dimensional points, without rearranging the plurality of three-dimensional points in the Morton order; and

(ii) the attribute information which is encoded is decoded using the hierarchical structure generated.

12. The three-dimensional data decoding method according to claim 11 , wherein

inclusion of the attribute information in the bitstream indicates that a hierarchical structure composed of one layer is generated by layering during encoding.

13. The three-dimensional data decoding method according to claim 11 , wherein

the hierarchical structure is generated by classifying each of the plurality of three-dimensional points into one of the one or more layers so that a distance between three-dimensional points belonging to a higher layer is greater than a distance between three-dimensional points belonging to a lower layer.

14. The three-dimensional data decoding method according to claim 10 ,

in the decoding, when the bitstream includes the identification information:

(i) when the identification information indicates that the plurality of three-dimensional points are to be arranged in the Morton order, the plurality of three-dimensional points are rearranged in the Morton order based on the geometry information of the plurality of three-dimensional points;

(ii) a hierarchical structure composed of one or more layers is generated by layering the plurality of three-dimensional points rearranged; and

(iii) the attribute information which is encoded is decoded using the hierarchical structure generated.

15. A three-dimensional data encoding device comprising:

a processor; and

memory, wherein

using the memory, the processor:

obtains a plurality of three-dimensional points;

generates a prediction tree using the plurality of three-dimensional points;

predictive-encodes geometry information of the plurality of three-dimensional points using the prediction tree; and

generates a bitstream including encoded data obtained from the predictive-encoding, a total number of three-dimensional points included in the prediction tree, and identification information indicating whether or not to rearrange the plurality of three-dimensional points in Morton order.

16. A three-dimensional data decoding device comprising:

a processor; and

memory, wherein

using the memory, the processor:

obtains a bitstream including encoded data and a total number of three-dimensional points included in a prediction tree; and

calculates geometry information of a plurality of three-dimensional points by predictive-decoding the encoded data using the prediction tree obtained from the bitstream and the total number of the three-dimensional points.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 17, 2023
From: SUGIO, TOSHIYASU; IGUCHI, NORITAKA
To: PANASONIC INTELLECTUAL PROPERTY CORPORATION OF AMERICA
Reel/Frame 062400/0219 →
Continuity (3)
Continuation PCTJP2021015219 · Apr 12, 2021
Provisional Application 63009680 · Apr 14, 2020
Related Publication 20230024374A1 · Jan 26, 2023
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