A Correlated Parts Model for Object Detection in Large 3D Scans

This paper addresses the problem of detecting objects in 3D scans according to object classes learned from sparse user annotation. We model objects belonging to a class by a set of fully correlated parts, encoding dependencies between local shapes of different parts as well as their relative spatial...

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Veröffentlicht in:	Computer graphics forum Jg. 32; H. 2pt2; S. 205 - 214
Hauptverfasser:	Sunkel, M., Jansen, S., Wand, M., Seidel, H.-P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford, UK Blackwell Publishing Ltd 01.05.2013
Schlagworte:	3-D graphics Algorithms Analysis Approximation Artificial Intelligence [I.2.10]: Vision and Scene Understanding-Shape Composite structures Computer graphics Computer Graphics [I.3.5]: Computational Geometry and Object Modeling-Object hierarchies Correlation Image Processing and Computer Vision [I.4.8]: Scene Analysis-Object recognition Image processing systems Inference Studies Three dimensional Training
ISSN:	0167-7055, 1467-8659
Online-Zugang:	Volltext
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