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Titlebook: Computer Vision - ECCV 2008; 10th European Confer David Forsyth,Philip Torr,Andrew Zisserman Conference proceedings 2008 Springer-Verlag Be

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Generalized ATM Fraud Detectiong over 1,700 well-labeled facial images with a large range of variations in pose, lighting, expression, and background. The experimental results show the superiority of our approach on both accuracy and efficiency.
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Ivan Kholod,Mikhail Kuprianov,Andrey Shorovto this process as ‘query expansion’. In the face analysis we use the query expansion to provide a query-specific relevant set of ‘negative’ examples which should be separated from the potentially positive examples in the text-based result set. We apply this idea to a recently-proposed method which
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https://doi.org/10.1007/978-981-13-3582-2ed component of pixels in the image, resembling a flood-fill that adapts to the grey-level landscape. The computation only needs a priority queue of candidate pixels (the boundary of the single connected component), a single bit image masking visited pixels, and information for as many components as
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Shuanglu Dai,Pengyu Su,Hong Manictable location and value. Previous approaches to multigrid solvers have typically employed either a data-driven operator (with fast convergence) or the maintenance of a lattice structure at coarse levels (with low memory overhead). In addition to memory efficiency, a lattice structure at coarse le
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Conference proceedings 2008pers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, stereo, people and face recognition, object tracking, matching, learning and features, MRFs, segmentation, computational photography and active reconstruction.
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Emrah Bilgic,Mehmed Kantardzic,Ozgur Cakirnal efficiency by special preprocessing together with stepwise search of 3-d model parameters dividing the problem into two smaller sub-problems on chain graphs. The use of Conditional Random Field models for both problems allows to various cues. We infer orientation of vertical walls of 3-d model vanishing points.
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Ilke Demir,Yifei Lou,Kathrin Welkerity. The regularity term we use is similar to the spirit of the Mumford-Shah functional, extended to non-Euclidean spaces. Numerical experiments show that the regularized partial matching produces better results compared to the non-regularized one.
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