PCPNet Learning Local Shape Properties from Raw Point Clouds

In this paper, we propose PCPNET, a deep‐learning based approach for estimating local 3D shape properties in point clouds. In contrast to the majority of prior techniques that concentrate on global or mid‐level attributes, e.g., for shape classification or semantic labeling, we suggest a patch‐based...

Full description

Bibliographic Details

Published in:	Computer graphics forum Vol. 37; no. 2; pp. 75 - 85
Main Authors:	Guerrero, Paul, Kleiman, Yanir, Ovsjanikov, Maks, Mitra, Niloy J.
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.05.2018 Wiley
Subjects:	CCS Concepts Coding Computer Science Computer systems organization → Neural networks Computer Vision and Pattern Recognition Computing methodologies → Point‐based models Curvature Estimation Learning Properties (attributes) Shape analysis Three dimensional models CCS Concepts •Computing methodologies → Point-based models
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!