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» Randomness and Geometric Features in Computer Vision
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CVPR
2012
IEEE
11 years 10 months ago
Graph cuts optimization for multi-limb human segmentation in depth maps
We present a generic framework for object segmentation using depth maps based on Random Forest and Graph-cuts theory, and apply it to the segmentation of human limbs in depth maps...
Antonio Hernández-Vela, Nadezhda Zlateva, A...
CVPR
2007
IEEE
14 years 2 months ago
Secure Biometric Templates from Fingerprint-Face Features
Since biometric data cannot be easily replaced or revoked, it is important that biometric templates used in biometric applications should be constructed and stored in a secure way...
Yagiz Sutcu, Qiming Li, Nasir D. Memon
CIVR
2007
Springer
280views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Demonstration of image retrieval based on illumination invariant textural MRF features
Content-based image retrieval (CBIR) systems target database images using feature similarities with respect to the query. Our CBIR demonstration utilises novel illumination invari...
Pavel Vacha, Michal Haindl
ECCV
2010
Springer
13 years 9 months ago
Image Segmentation with Topic Random Field
Abstract. Recently, there has been increasing interests in applying aspect models (e.g., PLSA and LDA) in image segmentation. However, these models ignore spatial relationships amo...
CVPR
2004
IEEE
14 years 9 months ago
Random Sampling LDA for Face Recognition
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
Xiaogang Wang, Xiaoou Tang