Model globally, match locally: Efficient and robust 3D object recognition

This paper addresses the problem of recognizing free-form 3D objects in point clouds. Compared to traditional approaches based on point descriptors, which depend on local information around points, we propose a novel method that creates a global model description based on oriented point pair feature...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Drost, B, Ulrich, M, Navab, N, Ilic, S
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cameras Clouds Computer science Layout Object detection Object recognition Robustness Sensor systems Stereo vision Voting
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