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CVPR
2009
IEEE
15 years 5 months ago
A Multi-View Probabilistic Model for 3D Object Classes
We propose a novel probabilistic framework for learning visual models of 3D object categories by combining appearance information and geometric constraints. Objects are represen...
Fei-Fei Li 0002, Hao Su, Min Sun, Silvio Savarese
ICRA
2003
IEEE
169views Robotics» more  ICRA 2003»
14 years 3 months ago
Robust model-based 3D object recognition by combining feature matching with tracking
− We propose a vision based 3D object recognition and tracking system, which provides high level scene descriptions such as object identification and 3D pose information. The sys...
Sungho Kim, In-So Kweon, Incheol Kim
CVPR
2006
IEEE
14 years 4 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
TITB
2008
126views more  TITB 2008»
13 years 10 months ago
Modeling Real-Time 3-D Lung Deformations for Medical Visualization
In this paper, we propose a physics-based and physiology-based approach for modeling real-time deformations of 3-D high-resolution polygonal lung models obtained from highresolutio...
Anand P. Santhanam, Celina Imielinska, Paul Davenp...
FIMH
2007
Springer
14 years 4 months ago
Simulation of 3D Ultrasound with a Realistic Electro-mechanical Model of the Heart
This paper presents a first set of experiments to integrate a realistic electro-mechanical model of a beating heart into simulated real-time three-dimensional (RT3D) ultrasound da...
Qi Duan, Philippe Moireau, Elsa D. Angelini, Domin...