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ICCV
2005
IEEE
16 years 4 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ECCV
2004
Springer
16 years 4 months ago
Structure of Applicable Surfaces from Single Views
Abstract. The deformation of applicable surfaces such as sheets of paper satisfies the differential geometric constraints of isometry (lengths and areas are conserved) and vanishin...
Nail A. Gumerov, Ali Zandifar, Ramani Duraiswami, ...
ECCV
2006
Springer
16 years 4 months ago
A Learning Based Approach for 3D Segmentation and Colon Detagging
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
Zhuowen Tu, Xiang Zhou, Dorin Comaniciu, Luca Bogo...
ECCV
2000
Springer
16 years 4 months ago
Reconstruction from Uncalibrated Sequences with a Hierarchy of Trifocal Tensors
This paper considers projective reconstruction with a hierarchical computational structure of trifocal tensors that integrates feature tracking and geometrical validation of the f...
David Nistér
ICIP
2004
IEEE
16 years 4 months ago
Fast in-band motion estimation with variable size block matching
In this paper we propose a fast motion estimation technique that works in the wavelet domain. The computational cost of the algorithm turns out to be proportional to the linear si...
Davide Maestroni, Augusto Sarti, Marco Tagliasacch...