Feature-preserving simplification framework for 3D point cloud

Xueli Xu; Kang Li; Yifei Ma; Guohua Geng; Jingyu Wang; Mingquan Zhou; Xin Cao

doi:10.1038/s41598-022-13550-1

ScienceGate Book Chapters

JOURNAL ARTICLE

Feature-preserving simplification framework for 3D point cloud

Xueli Xu Kang Li Yifei Ma Guohua Geng Jingyu Wang Mingquan Zhou Xin Cao

Year: 2022 Journal: Scientific Reports Vol: 12 (1)Pages: 9450-9450 Publisher: Nature Portfolio

DOI: 10.1038/s41598-022-13550-1

Get Full-Text PDF Get Analytical Report

Keywords:

Point cloud Feature (linguistics) Computer science Point (geometry) Cloud computing Data mining Artificial intelligence Pattern recognition (psychology) Mathematics Geometry

Metrics

Cited By

7.60

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Computer Graphics and Visualization Techniques

Physical Sciences → Computer Science → Computer Graphics and Computer-Aided Design

3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

Feature-preserving simplification framework for 3D point cloud

Metrics

Citation History

Topics

Related Documents

Feature preserving point cloud simplification

Simplification with Feature Preserving for 3D Point Cloud

Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach

The Point Cloud Simplification Algorithm Based on Three Feature-Preserving BoundariesPoint Cloud SimplificationThree Feature-Preserving Boundaries

Feature-Preserving Point Cloud Simplification Based on Adaptive Graph Filtering