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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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Temporal Surface Tracking Using Mesh Evolutionndergoing significant deformations, we cast the problem as a mesh evolution over time. Such an evolution is driven by 3D displacement fields estimated between meshes recovered independently at different time frames. Geometric and photometric information is used to identify a robust set of matching v
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Grassmann Registration Manifolds for Face Recognitionfrom a set of perturbed images and observe that the tangent space admits a vector space structure. Second, we embed the approximated tangent spaces on a Grassmann manifold and employ a chordal distance as the means for comparing subspaces. The matching process is accelerated using a coarse to fine s
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Face Alignment Via Component-Based Discriminative Searchlocally optimize in a small range, our approach searches the face shape in a large range at the component level by a . algorithm. Specifically, a set of . guide the search of the configurations of facial components among multiple detected modes of facial components. The direction classifiers are lea
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Fast Automatic Single-View 3-d Reconstruction of Urban Sceneswhich are visually pleasant. We chose an appropriate 3-d model structure and formulate the task of 3-d reconstruction as model fitting problem. Our 3-d models are composed of a number of vertical walls and a ground plane, where ground-vertical boundary is a continuous polyline. We achieve computatio
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