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122
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ICCV
2003
IEEE
16 years 2 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...

Publication
1851views
17 years 1 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
ECCV
2002
Springer
16 years 2 months ago
Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions
Abstract This paper presents a novel algorithm aiming at analysis and identification of faces viewed from different poses and illumination conditions. Face analysis from a single i...
Sami Romdhani, Volker Blanz, Thomas Vetter
81
Voted
ICRA
2005
IEEE
120views Robotics» more  ICRA 2005»
15 years 6 months ago
Complex Objects Pose Estimation based on Image Moment Invariants
— Moments are generic (and usually intuitive) descriptors that can be computed from several kinds of objects defined either from closed contours or from a set of points. In this...
Omar Tahri, François Chaumette
115
Voted
CVPR
2005
IEEE
16 years 2 months ago
Learning to Estimate Human Pose with Data Driven Belief Propagation
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
Gang Hua, Ming-Hsuan Yang, Ying Wu