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» Image Distance Using Hidden Markov Models
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CVPR
2005
IEEE
13 years 11 months ago
Dense Photometric Stereo Using Tensorial Belief Propagation
We address the normal reconstruction problem by photometric stereo using a uniform and dense set of photometric images captured at fixed viewpoint. Our method is robust to spurio...
Kam-Lun Tang, Chi-Keung Tang, Tien-Tsin Wong
ICPR
2004
IEEE
14 years 10 months ago
Enhancements for Local Feature Based Image Classification
Using local features with nearest neighbor search and direct voting obtains excellent results for various image classification tasks. In this work we decompose the method into its...
Daniel Keysers, Hermann Ney, Roberto Paredes, Tobi...
ICIP
2000
IEEE
14 years 2 months ago
Vector Probability Diffusion
Minimal surface regularization has been used in several applications ranging from stereo to image segmentation, sometimes hidden as a graph-cut discrete formulation, or as a stric...
Alvaro Pardo, Guillermo Sapiro
CVPR
1999
IEEE
14 years 11 months ago
Generic Object Detection using Model Based Segmentation
This paper presents a novel approach for detection and segmentation of generic shapes in cluttered images. The underlying assumption is that generic objects that are man made, fre...
Zhiqian Wang, Jezekiel Ben-Arie
ICASSP
2008
IEEE
14 years 4 months ago
Impact of automatic sentence segmentation on meeting summarization
This paper investigates the impact of automatic sentence segmentation on speech summarization using the ICSI meeting corpus. We use a hidden Markov model (HMM) for sentence segmen...
Yang Liu, Shasha Xie