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

memoir

書目名稱Computer Vision - ECCV 2008影響因子(影響力)




書目名稱Computer Vision - ECCV 2008影響因子(影響力)學(xué)科排名




書目名稱Computer Vision - ECCV 2008網(wǎng)絡(luò)公開度




書目名稱Computer Vision - ECCV 2008網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision - ECCV 2008被引頻次




書目名稱Computer Vision - ECCV 2008被引頻次學(xué)科排名




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書目名稱Computer Vision - ECCV 2008年度引用學(xué)科排名




書目名稱Computer Vision - ECCV 2008讀者反饋




書目名稱Computer Vision - ECCV 2008讀者反饋學(xué)科排名

媽媽不開心

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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肉身

VOK

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

擋泥板

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

擋泥板

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

爭議的蘋果

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

armistice

Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior

ciliary-body

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