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NIPS
2001
13 years 8 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
3DPVT
2004
IEEE
231views Visualization» more  3DPVT 2004»
13 years 10 months ago
A Variational Analysis of Shape from Specularities using Sparse Data
Looking around in our every day environment, many of the encountered objects are specular to some degree. Actively using this fact when reconstructing objects from image sequences...
Jan Erik Solem, Henrik Aanæs, Anders Heyden
CAIP
2009
Springer
209views Image Analysis» more  CAIP 2009»
13 years 11 months ago
Total Variation Processing of Images with Poisson Statistics
This paper deals with denoising of density images with bad Poisson statistics (low count rates), where the reconstruction of the major structures seems the only reasonable task. Ob...
Alex Sawatzky, Christoph Brune, Jahn Müller, ...
CVPR
2009
IEEE
1298views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Video Object Segmentation by Hypergraph Cut
In this paper, we present a new framework of video object segmentation, in which we formulate the task of extracting prominent objects from a scene as the problem of hypergraph ...
Dimitris N. Metaxas, Qingshan Liu, Yuchi Huang
ICIP
2005
IEEE
14 years 10 days ago
Atlas-based segmentation of medical images locally constrained by level sets
Atlas-based segmentation has become a standard paradigm for exploiting prior knowledge in medical image segmentation. In this paper, we propose a method to exploit both the robust...
Valerie Duay, Nawal Houhou, Jean-Philippe Thiran