Unlock instant, AI-driven research and patent intelligence for your innovation.

A 4D Motion Point Cloud Segmentation and Reconstruction Method Based on Motion Trajectory

A motion trajectory and motion point technology, applied in the field of four-dimensional motion point cloud segmentation and reconstruction based on motion trajectory, can solve the problems of lack of temporal and spatial continuity and consistency, high quality requirements of input point cloud, etc., to achieve point cloud quality less demanding effects

Active Publication Date: 2017-06-13
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Most of the segmentation of objects in the existing technology is based on the geometric features of point clouds, which lack the continuity and consistency of time and space; the existing point cloud skeleton reconstruction methods that pursue the consistency of time and space have relatively high requirements for the quality of input point clouds. High, because they need to extract a rough skeleton from the input time-series point cloud, and then optimize the consistency of time and space

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
  • A 4D Motion Point Cloud Segmentation and Reconstruction Method Based on Motion Trajectory
  • A 4D Motion Point Cloud Segmentation and Reconstruction Method Based on Motion Trajectory
  • A 4D Motion Point Cloud Segmentation and Reconstruction Method Based on Motion Trajectory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] see figure 1 As shown, it is a flow chart of a four-dimensional motion point cloud segmentation and reconstruction method based on motion trajectory in the present invention. The method comprises the steps of:

[0038] S1. Obtain motion data;

[0039] This embodiment provides a four-frame point cloud as an example, such as figure 2 , using a laser scanner-based motion data capture method, the laser scanner continuously scans and acquires point cloud data of moving objects at a certain frame rate; the acquired data is stored in the computer in the form of a file per frame.

[0040] S2. Perform adjacent frame data registration on the motion data;

[0041] The adjacent frame data registration of motion data is realized by non-rigid matching method. The matching method finds a corresponding point in the next frame for each point in each frame, such as image 3 , the right point in each frame is the registered point, and the connection relationship between the point and...

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 the field of computer graphics, and provides a four-dimensional motion point cloud segmentation and reconstruction method based on motion trajectories. Realized the skeleton extraction of motion trajectory, including: acquiring motion data, performing adjacent data registration, motion trajectory data extraction, cluster analysis of motion trajectory data, and consistent skeleton extraction of motion data after cluster analysis. The present invention does not need to define a template in advance, and does not need to first extract the skeleton of the data of each frame, and has lower requirements on the quality of the point cloud.

Description

technical field [0001] The invention relates to the field of computer graphics, in particular to a four-dimensional motion point cloud segmentation and reconstruction method based on motion trajectories. Background technique [0002] Existing motion capture and segmentation require templates or require high quality point clouds, or extract skeletons from single-frame point clouds for consistent optimization and processing of multi-frame skeletons. [0003] Most of the segmentation of objects in the existing technology is based on the geometric features of the point cloud, which lacks the continuity and consistency of time and space; the existing point cloud skeleton reconstruction method that pursues the consistency of time and space has relatively high requirements for the quality of the input point cloud. High, because they need to extract a rough skeleton from the input time-series point cloud, and then optimize the consistency of time and space. [0004] The present inv...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20G06T7/38
Inventor 谢科黄惠陈宝权丹尼尔·科恩
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com