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» Graph-Theoretical Methods in Computer Vision
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CVPR
2007
IEEE
16 years 8 months ago
Unsupervised Activity Perception by Hierarchical Bayesian Models
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Xiaogang Wang, Xiaoxu Ma, Eric Grimson
CVPR
2007
IEEE
16 years 8 months ago
A Graph Cut Approach to Image Segmentation in Tensor Space
This paper proposes a novel method to apply the standard graph cut technique to segmenting multimodal tensor valued images. The Riemannian nature of the tensor space is explicitly...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi
CVPR
2007
IEEE
16 years 8 months ago
Simultaneous Matting and Compositing
Recent work in matting, hole filling, and compositing allows image elements to be mixed in a new composite image. Previous algorithms for matting foreground elements have assumed ...
Jue Wang, Michael F. Cohen
CVPR
2007
IEEE
16 years 8 months ago
Optimal Step Nonrigid ICP Algorithms for Surface Registration
We show how to extend the ICP framework to nonrigid registration, while retaining the convergence properties of the original algorithm. The resulting optimal step nonrigid ICP fra...
Brian Amberg, Sami Romdhani, Thomas Vetter
CVPR
2007
IEEE
16 years 8 months ago
Soft Edge Smoothness Prior for Alpha Channel Super Resolution
Effective image prior is necessary for image super resolution, due to its severely under-determined nature. Although the edge smoothness prior can be effective, it is generally di...
Shengyang Dai, Mei Han, Wei Xu, Ying Wu, Yihong Go...