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» Analysis on a Local Approach to 3D Object Recognition
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3DPVT
2002
IEEE
193views Visualization» more  3DPVT 2002»
14 years 1 months ago
Modeling shapes and textures from images: new frontiers
Increasingly, models of the world are directly built from images. The paper discusses a number of recent developments that try to push the enveloppe of what image-based modeling c...
Luc J. Van Gool, D. Vandemeulen, Gregor A. Kalbere...
ICIP
2001
IEEE
14 years 10 months ago
Shape description of three-dimensional images based on medial axis
3D-shape description requires the partition of objects in different parts. In this paper, we propose a new approach based on the analysis of a 3D skeleton. The skeleton is a repre...
Alexandra Bonnassie, Françoise Peyrin, Domi...
BILDMED
2008
138views Algorithms» more  BILDMED 2008»
13 years 10 months ago
Level Set Segmentation of Lumbar Vertebrae Using Appearance Models
For the planning of surgical interventions of the spine exact knowledge about 3D shape and the local bone quality of vertebrae are of great importance in order to estimate the anch...
Karl D. Fritscher, Stefan Leber, Werner Schmö...
ICPR
2000
IEEE
14 years 10 months ago
Sign of Gaussian Curvature from Eigen Plane Using Principal Components Analysis
This paper describes a new method to recover the sign of the local Gaussian curvature at each point on the visible surface of a 3-D object. Multiple (p > 3) shaded images are a...
Shinji Fukui, Yuji Iwahori, Akira Iwata, Robert J....
TNN
2008
141views more  TNN 2008»
13 years 8 months ago
MPCA: Multilinear Principal Component Analysis of Tensor Objects
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...