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Titlebook: Computer Vision - ACCV 2012 Workshops; ACCV 2012 Internatio Jong-Il Park,Junmo Kim Conference proceedings 2013 Springer-Verlag Berlin Heide

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Region Segmentation and Object Extraction Based on Virtual Edge and Global Featuresar contrast value with the adjacent regions, a envelopment degree based on clear edge and so on without much difficulty and it will contribute to develop a further unification algorithm and a new feature extraction method for scene recognition.
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0302-9743 o volume set, consisting of LNCS 7728 and 7729, contains the carefully reviewed and selected papers presented at the nine workshops that were held in conjunction with the 11th Asian Conference on Computer Vision, ACCV 2012, in Daejeon, South Korea, in November 2012.From a total of 310 papers submitt
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The Dystopian Worlds of Techno-Science,pments. This article presents a countermeasure against such attacks based on the . − . operator combining both space and time information into a single multiresolution texture descriptor. Experiments carried out with the REPLAY ATTACK database show a Half Total Error Rate (.) improvement from 15.16% to 7.60%.
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Elliptical Local Binary Patterns for Face Recognition applied in face recognition with dimension reduction step by Whitened Principal Component Analysis (WPCA). Our experiment results upon AR, FERET and Surveillance Cameras Face (SCface) databases prove the advantages of ELBP over LBP for face recognition under different conditions and with ELBP WPCA we can get very remarkable results.
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, − , Based Countermeasure against Face Spoofing Attackspments. This article presents a countermeasure against such attacks based on the . − . operator combining both space and time information into a single multiresolution texture descriptor. Experiments carried out with the REPLAY ATTACK database show a Half Total Error Rate (.) improvement from 15.16% to 7.60%.
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Colorimetric Correction for Stereoscopic Camera Arrays3D lookup table with a non-linear process that minimizes the colorimetric properties of the images. This lookup table is represented by a polynomial basis to reduce the number of required parameters. We also describe some optimizations to speedup the processing time.
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