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» A New Bayesian Method for Range Image Segmentation
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ICMCS
2008
IEEE
165views Multimedia» more  ICMCS 2008»
14 years 3 months ago
Graph cuts by using local texture features of wavelet coefficient for image segmentation
This paper proposes an approach to image segmentation using Iterated Graph Cuts based on local texture features of wavelet coefficient. Using Multiresolution Analysis based on Ha...
Keita Fukuda, Tetsuya Takiguchi, Yasuo Ariki
MVA
1996
109views Computer Vision» more  MVA 1996»
13 years 10 months ago
Very High Speed Multi Resolution Sheet-of-light Range Imaging
Sheet-of-light range measurement is a commonly used method in todays industrial applications. This paper describesa new way of using an existingimage sensorand turns it into a fas...
Anders Åström, Erik Åstrand
ICIP
2006
IEEE
14 years 10 months ago
Sparse Image Reconstruction using Sparse Priors
Sparse image reconstruction is of interest in the fields of radioastronomy and molecular imaging. The observation is assumed to be a linear transformation of the image, and corrup...
Michael Ting, Raviv Raich, Alfred O. Hero
CVPR
1999
IEEE
14 years 1 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher
3DIM
2003
IEEE
14 years 2 months ago
Effective Nearest Neighbor Search for Aligning and Merging Range Images
This paper describes a novel method which extends the search algorithm of a k-d tree for aligning and merging range images. If the nearest neighbor point is far from a query, many...
Ryusuke Sagawa, Tomohito Masuda, Katsushi Ikeuchi