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» Randomness and Geometric Features in Computer Vision
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ECCV
1994
Springer
14 years 9 months ago
Using 3-Dimensional Meshes To Combine Image-Based and Geometry-Based Constraints
A uni ed framework for 3 D shape reconstruction allows us to combine image-based and geometry-based information sources. The image information is akin to stereo and shape-fromshad...
Pascal Fua, Yvan G. Leclerc
ICPR
2006
IEEE
14 years 8 months ago
Detection of presynaptic terminals on dendritic spines in double labeling confocal images
For the analysis of learning processes and the underlying changes of the shape of excitatory synapses (spines), 3-D volume samples of selected dendritic segments are scanned by a ...
Andreas Herzog, Bernd Michaelis, Gerald Krell, Kat...
CVPR
2008
IEEE
13 years 9 months ago
Classification via semi-Riemannian spaces
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
CVPR
2004
IEEE
14 years 9 months ago
Invariant Operators, Small Samples, and the Bias-Variance Dilemma
Invariant features or operators are often used to shield the recognition process from the effect of "nuisance" parameters, such as rotations, foreshortening, or illumina...
Xiaojin Shi, Roberto Manduchi
ICPR
2008
IEEE
14 years 2 months ago
Topological structure-based alignment for fingerprint Fuzzy Vault
Because of the randomness of biometric features, traditional methods cannot perform well in the encryption of fingerprint template. The Fuzzy Vault construct is a biometric crypt...
Jianjie Li, Xin Yang, Jie Tian, Peng Shi, Peng Li