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Titlebook: Computer Vision -- ACCV 2014; 12th Asian Conferenc Daniel Cremers,Ian Reid,Ming-Hsuan Yang Conference proceedings 2015 Springer Internation

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A New Framework for Multiclass Classification Using Multiview Assisted Adaptive Boosting,ne classifiers. Finally, decisions of baseline classifiers are agglomerated based on a novel algorithm of reward assignment. The paper then presents classification comparisons on benchmark UCI datasets and eye samples collected from FERET database. Kappa-error diversity diagrams are also studied. In
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,Photorealistic Face De-Identification by Aggregating Donors’ Face Components,nents with the donors’ ones, in such a way that an automatic face matcher is fooled while the appearance of the generated faces are as close as possible to original faces. Experiments on several datasets validate the approach and show its ability both in terms of privacy preservation and visual qual
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Modeling the Temporality of Saliency,Our inter-trajectory saliency formulation also represents the first attempt among computational saliency works to look beyond the immediate neighborhood in space and time, utilizing the perceptual organization rule of common fate (temporal synchrony) to make a group of trajectories stand out from th
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A Three-Color Coupled Level-Set Algorithm for Simultaneous Multiple Cell Segmentation and Tracking,S using a new volume conservation constraint (VCC) to prevent shrinkage or expansion on whole cell boundaries and produce more accurate segmentation and tracking of touching cells. When tested on four different time-lapse image sequences, the 3LS outperforms the original nLS and other relevant state
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OR-PCA with MRF for Robust Foreground Detection in Highly Dynamic Backgrounds,f foreground detection and the computation time as well. Moreover, solving MRF with graph-cuts exploits structural information using spatial neighborhood system and similarities to further improve the foreground segmentation in highly dynamic backgrounds. Experimental results on challenging datasets
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https://doi.org/10.1007/978-1-4899-6036-8ntal results on a public retinal dataset and our clinical cerebral data demonstrate that our approach outperforms state-of-the-art methods including the vesselness based method [.] and the optimally oriented flux (OOF) based method [.].
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