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» Recognition of Parametrised Models from 3D Data
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BMVC
2000
13 years 10 months ago
Quantifying Ambiguities in Inferring Vector-Based 3D Models
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
Eng-Jon Ong, Shaogang Gong
ISBI
2002
IEEE
14 years 9 months ago
3-D reconstruction of DNA filaments from stereo cryo-electron micrographs
We propose an algorithm for the 3-D reconstruction of DNA filaments from a pair of stereo cryo-electron micrographs. The underlying principle is to specify a 3-D model of a filame...
Mathews Jacob, Thierry Blu, Michael Unser
CVPR
2004
IEEE
14 years 11 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs
ICPR
2008
IEEE
14 years 3 months ago
Automatic pose estimation of 3D facial models
Pose estimation plays an essential role in many computer vision applications, such as human computer interaction (HCI), driver attentiveness monitoring, face recognition, automati...
Yi Sun, Lijun Yin
MICCAI
2009
Springer
14 years 1 months ago
Bayesian Maximal Paths for Coronary Artery Segmentation from 3D CT Angiograms
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an eï¬...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...