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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computer graphics forum Jg. 37; H. 2; S. 75 - 85
Hauptverfasser:	Guerrero, Paul, Kleiman, Yanir, Ovsjanikov, Maks, Mitra, Niloy J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.05.2018 Wiley
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!