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ICPR
2006
IEEE
14 years 5 months ago
Multi-View Active Shape Model with Robust Parameter Estimation
Active Shape Model is an efficient way for localizing objects with variable shapes. When ASM is extended to multiview cases, the parameter estimation approaches in previous works ...
Li Zhang, Haizhou Ai
FGR
2006
IEEE
163views Biometrics» more  FGR 2006»
13 years 10 months ago
Human Action Recognition Using Multi-View Image Sequences Features
Recognizing human action from image sequences is an active area of research in computer vision. In this paper, we present a novel method for human action recognition from image se...
Mohiuddin Ahmad, Seong-Whan Lee
CVPR
2005
IEEE
14 years 6 months ago
Modelling Dynamic Scenes by Registering Multi-View Image Sequences
In this paper, we present a new variational method for multi-view stereovision and non-rigid three-dimensional motion estimation from multiple video sequences. Our method minimize...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...
3DPVT
2006
IEEE
212views Visualization» more  3DPVT 2006»
13 years 10 months ago
High-Performance Multi-View Reconstruction
We present a high performance reconstruction approach, which generates true 3D models from multiple views with known camera parameters. The complete pipeline from depth map genera...
Christopher Zach, Mario Sormann, Konrad F. Karner
ICCV
2007
IEEE
14 years 6 months ago
The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models
Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are pro...
Christian Vogler, Zhiguo Li, Atul Kanaujia, Siome ...