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» Using Sequential Context for Image Analysis
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122
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MICCAI
2006
Springer
16 years 3 months ago
Fast Non Local Means Denoising for 3D MR Images
One critical issue in the context of image restoration is the problem of noise removal while keeping the integrity of relevant image information. Denoising is a crucial step to inc...
Pierrick Coupé, Pierre Yger, Christian Bari...
134
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ICIP
2006
IEEE
16 years 4 months ago
Two-Stage Optimal Component Analysis
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gal...
114
Voted
ECCV
2006
Springer
15 years 6 months ago
An Efficient Method for Tensor Voting Using Steerable Filters
In many image analysis applications there is a need to extract curves in noisy images. To achieve a more robust extraction, one can exploit correlations of oriented features over a...
Erik Franken, Markus van Almsick, Peter Rongen, Lu...
126
Voted
ICIP
2007
IEEE
16 years 4 months ago
MuFeSaC: Learning When to Use Which Feature Detector
Interest point detectors are the starting point in image analysis for depth estimation using epipolar geometry and camera ego-motion estimation. With several detectors defined in ...
Sreenivas R. Sukumar, David L. Page, Hamparsum Boz...
118
Voted
DAC
2003
ACM
16 years 3 months ago
Compiler-generated communication for pipelined FPGA applications
In this paper, we describe a set of compiler analyses and an implementation that automatically map a sequential and un-annotated C program into a pipelined implementation, targete...
Heidi E. Ziegler, Mary W. Hall, Pedro C. Diniz