Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Point cloud space scalable coding geometric reconstruction method based on minimum plane fitting geometric error

A technology of geometric error and plane fitting, applied in the field of video coding and decoding, it can solve the problems of large geometric error and not considering the distribution of internal points of different nodes, and achieve the effect of reducing errors.

Active Publication Date: 2021-09-28
NORTHWESTERN POLYTECHNICAL UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0030]In order to solve the geometric reconstruction process after the existing space is scalable, it does not take into account the difference in the distribution of internal points of different nodes, there is a geometric reconstruction process after space scaling The problem of large geometric errors in the construction process

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Point cloud space scalable coding geometric reconstruction method based on minimum plane fitting geometric error
  • Point cloud space scalable coding geometric reconstruction method based on minimum plane fitting geometric error
  • Point cloud space scalable coding geometric reconstruction method based on minimum plane fitting geometric error

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

[0060] Nouns and terms involved in the present invention are applicable to the following explanations:

[0061] 1) Point Cloud Compression (PCC)

[0062] 2) Geometry-based Point Cloud Compression (G-PCC)

[0063] 3) slice (slice)

[0064] 4) Bounding box (bounding box)

[0065] 5) Octree (octree)

[0066] 6) Intra prediction (intra prediction)

[0067] 7) Triangle face set (triangle soup, trisoup)

[...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a point cloud space scalable coding geometric reconstruction method based on a minimum fitting plane geometric error, and belongs to the technical field of video coding and decoding. The method comprises the following steps: fitting a local plane of a current node by using neighbor node information through a local space formed by each node and surrounding 26 neighbor nodes, constructing a geometric error function according to a point-to-point geometric error measurement principle, and solving a coordinate value corresponding to a minimum geometric error value as a reconstructed geometric coordinate. The problem that the geometric error is large in the geometric reconstruction process after the space is telescopic is solved.

Description

technical field [0001] The present invention relates to the technical field of video encoding and decoding, in particular to a point cloud space scalable encoding geometric reconstruction method based on the minimum fitting plane geometric error. Background technique [0002] In the point cloud G-PCC encoder framework, after dividing the input point cloud into slices, the slices are encoded independently. In the slice, the geometric information of the point cloud and the attribute information corresponding to the points in the point cloud are encoded separately. The G-PCC encoder first encodes geometric information. The encoder performs coordinate conversion on the geometric information, so that all point clouds are contained in a bounding box (bounding box); and then quantized. This step of quantization mainly plays a role in scaling. Due to the rounding of quantization, the geometric information of some points Similarly, according to the parameters to determine whether t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04N19/33H04N19/597H04N19/154H04N19/96
CPCH04N19/33H04N19/597H04N19/154H04N19/96
Inventor 万帅陈章王哲诚丁晓斌
Owner NORTHWESTERN POLYTECHNICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com