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» Modeling non-gaussian noise for robust image analysis
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TSP
2008
132views more  TSP 2008»
13 years 7 months ago
Robust Intervention in Probabilistic Boolean Networks
Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the netw...
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
ACCV
2006
Springer
14 years 1 months ago
Minimal Weighted Local Variance as Edge Detector for Active Contour Models
Performing segmentation of narrow, elongated structures with low contrast boundaries is a challenging problem. Boundaries of these structures are difficult to be located when noise...
Max W. K. Law, Albert C. S. Chung
IPMI
2009
Springer
14 years 8 months ago
4D MAP Image Reconstruction Incorporating Organ Motion
Abstract. Four-dimensional respiratory correlated computed tomography (4D RCCT) has been widely used for studying organ motion. Most current algorithms use binning techniques which...
Jacob Hinkle, P. Thomas Fletcher, Brian Wang, Bill...
CAIP
2011
Springer
328views Image Analysis» more  CAIP 2011»
12 years 7 months ago
Accurate and Practical Calibration of a Depth and Color Camera Pair
We present an algorithm that simultaneously calibrates a color camera, a depth camera, and the relative pose between them. The method is designed to have three key features that no...
Daniel Herrera C., Juho Kannala, Janne Heikkil&aum...
ECCV
2004
Springer
14 years 9 months ago
Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion
We propose a solution to the problem of inferring the depth map, radiance and motion of a scene from a collection of motion-blurred and defocused images. We model motion-blur and d...
Paolo Favaro, Martin Burger, Stefano Soatto