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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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书目名称Computer Vision - ECCV 2008
副标题10th European Confer
编辑David Forsyth,Philip Torr,Andrew Zisserman
视频videohttp://file.papertrans.cn/235/234149/234149.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Vision - ECCV 2008; 10th European Confer David Forsyth,Philip Torr,Andrew Zisserman Conference proceedings 2008 Springer-Verlag Be
描述The four-volume set comprising LNCS volumes 5302/5303/5304/5305 constitutes the refereed proceedings of the 10th European Conference on Computer Vision, ECCV 2008, held in Marseille, France, in October 2008. The 243 revised papers presented were carefully reviewed and selected from a total of 871 papers 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.
出版日期Conference proceedings 2008
关键词action recognition; aerial imagery; algorithms; classification; edge detection; image analysis; multi body
版次1
doihttps://doi.org/10.1007/978-3-540-88688-4
isbn_softcover978-3-540-88685-3
isbn_ebook978-3-540-88688-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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Facial Expression Recognition Based on 3D Dynamic Range Model Sequencesated as compared to methods based on 2D texture images, 2D/3D Motion Units, and 3D static range models. Further experimental evaluations also verify the benefits of our approach with respect to partial facial surface occlusion, expression intensity changes, and 3D model resolution variations.
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Compressive Sensing for Background Subtractionbackground, we learn and adapt a low dimensional compressed representation of it, which is sufficient to determine spatial innovations; object silhouettes are then estimated directly using the compressive samples without any auxiliary image reconstruction. We also discuss simultaneous appearance rec
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Linear Time Maximally Stable Extremal Regionsed 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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Multiple Component Learning for Object Detectionssifier; we achieve this by combining boosting with weakly supervised learning, specifically the Multiple Instance Learning framework (.). . is general, and we demonstrate results on a range of data from computer audition and computer vision. In particular, . outperforms all existing methods on the
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A Lattice-Preserving Multigrid Method for Solving the Inhomogeneous Poisson Equations Used in Image ictable 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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Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
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Troels Andreasen,Henrik Bulskovng the long-range forces into local ones. The SFF specifies regions of the scene which are attractive in nature (e.g. an exit location). The DFF specifies the immediate behavior of the crowd in the vicinity of the individual being tracked. The BFF specifies influences exhibited by the barriers in th
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