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» Using Sequential Context for Image Analysis
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MICCAI
2006
Springer
14 years 8 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...
ICIP
2006
IEEE
14 years 9 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...
ECCV
2006
Springer
13 years 11 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...
ICIP
2007
IEEE
14 years 9 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...
DAC
2003
ACM
14 years 8 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