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» Graph-Theoretical Methods in Computer Vision
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69
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ECCV
2006
Springer
16 years 4 months ago
A Unifying Framework for Mutual Information Methods for Use in Non-linear Optimisation
Abstract. Many variants of MI exist in the literature. These vary primarily in how the joint histogram is populated. This paper places the four main variants of MI: Standard sampli...
Nicholas Dowson, Richard Bowden
186
Voted
CVPR
2012
IEEE
13 years 4 months ago
Unsupervised metric fusion by cross diffusion
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
Bo Wang, Jiayan Jiang, Wei Wang 0028, Zhi-Hua Zhou...
66
Voted
ICPR
2008
IEEE
15 years 8 months ago
Linear representation of discrete surfaces in 3D
A method to compute a linear medial representation of a complex surface in the 3D discrete space is presented. The method involves voxel classification, surface labeling, anchor p...
Carlo Arcelli, Gabriella Sanniti di Baja, Luca Ser...
102
Voted
ICPR
2008
IEEE
15 years 8 months ago
Finite element modeling of facial deformation in videos for computing strain pattern
We present a finite element modeling based approach to compute strain patterns caused by facial deformation during expressions in videos. A sparse motion field computed through ...
Vasant Manohar, Matthew Shreve, Dmitry B. Goldgof,...
108
Voted
ICPR
2002
IEEE
16 years 3 months ago
A Computationally Efficient Approach to Indoor/Outdoor Scene Classification
Prior research in scene classification has shown that high-level information can be inferred from low-level image features. Classification rates of roughly 90% have been reported ...
Navid Serrano, Andreas E. Savakis, Jiebo Luo