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CVPR
2008
IEEE
15 years 11 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
NECO
2007
127views more  NECO 2007»
14 years 9 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
CVPR
2007
IEEE
15 years 11 months ago
A Surface-Growing Approach to Multi-View Stereo Reconstruction
We present a new approach to reconstruct the shape of a 3D object or scene from a set of calibrated images. The central idea of our method is to combine the topological flexibilit...
Martin Habbecke, Leif Kobbelt
JMM2
2007
218views more  JMM2 2007»
14 years 9 months ago
A Novel Method for 3D Face Detection and Normalization
—When automatically analyzing images of human faces, either for recognition in biometry applications or facial expression analysis in human machine interaction, one has to cope w...
Robert Niese, Ayoub Al-Hamadi, Bernd Michaelis
CORR
2004
Springer
196views Education» more  CORR 2004»
14 years 9 months ago
Swarming around Shellfish Larvae
: The collection of wild larvae seed as a source of raw material is a major sub industry of shellfish aquaculture. To predict when, where and in what quantities wild seed will be a...
Vitorino Ramos, Jonathan Campbell, John Slater, Jo...