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» Support Vector Machines for 3D Object Recognition
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ICPR
2000
IEEE
15 years 2 months ago
Segmentation and Surface Characterization of Arbitrary 3D Meshes for Object Reconstruction and Recognition
Polygonal models are the most common representation of structured 3D data in computer graphics, pattern recognition and machine vision. The method presented here automatically ide...
Georgios Papaioannou, Evaggelia-Aggeliki Karabassi...
ICCV
2009
IEEE
16 years 2 months ago
Shape-based Recognition of 3D Point Clouds in Urban Environments
This paper investigates the design of a system for recognizing objects in 3D point clouds of urban environments. The system is decomposed into four steps: locating, segmenting, ...
Aleksey Golovinskiy, Vladimir G. Kim, Thomas Funkh...
AMFG
2003
IEEE
157views Biometrics» more  AMFG 2003»
15 years 3 months ago
Inference of Human Postures by Classification of 3D Human Body Shape
In this paper we describe an approach for inferring the body posture using a 3D visual-hull constructed from a set of silhouettes. We introduce an appearance-based, view-independe...
Isaac Cohen, Hongxia Li
MVA
1990
137views Computer Vision» more  MVA 1990»
14 years 11 months ago
Relaxation Based Modeling and Recognition of 3D Surfaces from Range Data
Modeling and recognition of 3D objects by surface is an important problem in machine vision. Given a large number of range data points of an object surface, we present a relaxatio...
Chang Y. Choo, Nasser M. Nasrabadi, William I. Kwa...
MVA
2002
125views Computer Vision» more  MVA 2002»
14 years 9 months ago
Recognition of 3-D Free-form Objects Using Distance-supported Shape Index
In this paper, we present an approach to incorporating partial geometric information into a local feature-based The distance-supported shape index is proposed for the representatio...
Dong-O Kim, Sang Wook Lee, Rae-Hong Park