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ICIP
1997
IEEE
16 years 8 months ago
Using mean field annealing to solve anisotropic diffusion problems
Anisotropic diffusion is a powerful method for image feature extraction in which blurring is allowed to occur except at edges. Mean field annealing (MFA) is an image optimization ...
Hairong Qi, Wesley E. Snyder, Griff L. Bilbro
CVPR
2010
IEEE
15 years 6 months ago
Deconvolutional networks
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylo...
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...
DAGM
2003
Springer
15 years 11 months ago
Variance Component Estimation in Performance Characteristics Applied to Feature Extraction Procedures
This paper proposes variance component estimation (VCE) for empirical quality evaluation in computer vision. An outline is given for the scope of VCE in the context of quality eval...
Marc Luxen
IPL
2007
104views more  IPL 2007»
15 years 6 months ago
A linear-time algorithm for Euclidean feature transform sets
The Euclidean distance transform of a binary image is the function that assigns to every pixel the Euclidean distance to the background. The Euclidean feature transform is the fun...
Wim H. Hesselink