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» Recognition of Parametrised Models from 3D Data
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ICPR
2010
IEEE
15 years 10 months ago
Human Pose Estimation for Multiple Persons Based on Volume Reconstruction
—Most of the development of pose recognition focused on a single person. However, many applications of computer vision essentially require the estimation of multiple people. Henc...
Xinghan Luo
MICCAI
2009
Springer
16 years 7 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
JCB
2006
215views more  JCB 2006»
15 years 6 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
DAGM
2006
Springer
15 years 10 months ago
Visual Hand Posture Recognition in Monocular Image Sequences
We present a model-based method for hand posture recognition in monocular image sequences that measures joint angles, viewing angle, and position in space. Visual markers in form o...
Thorsten Dick, Jörg Zieren, Karl-Friedrich Kr...
ECCV
2006
Springer
16 years 8 months ago
Triangulation for Points on Lines
Triangulation consists in finding a 3D point reprojecting the best as possible onto corresponding image points. It is classical to minimize the reprojection error, which, in the p...
Adrien Bartoli, Jean-Thierry Lapresté