Titlebook: Computer Vision -- ECCV 2014; 13th European Confer David Fleet,Tomas Pajdla,Tinne Tuytelaars Conference proceedings 2014 Springer Internati

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书目名称Computer Vision -- ECCV 2014影响因子(影响力)




书目名称Computer Vision -- ECCV 2014影响因子(影响力)学科排名




书目名称Computer Vision -- ECCV 2014网络公开度




书目名称Computer Vision -- ECCV 2014网络公开度学科排名




书目名称Computer Vision -- ECCV 2014被引频次




书目名称Computer Vision -- ECCV 2014被引频次学科排名




书目名称Computer Vision -- ECCV 2014年度引用




书目名称Computer Vision -- ECCV 2014年度引用学科排名




书目名称Computer Vision -- ECCV 2014读者反馈




书目名称Computer Vision -- ECCV 2014读者反馈学科排名

战役

Unsupervised Dense Object Discovery, Detection, Tracking and Reconstruction-set segmentation, the level-set is updated and then used to aid registration and evolution of a 3D level-set that captures shape information. For a known object either learned by our system or introduced from a third-party library, our framework can detect similar appearances and geometries in the

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As-Rigid-As-Possible Stereo under Second Order Smoothness Priorsndle curved surfaces. We present a mixture model to combine the benefits of these two kinds of priors, whose energy function consists of two terms 1) a Laplacian operator on the disparity map which imposes pixel-wise second-order smoothness; 2) a segment-wise matching cost as a function of quadratic

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草率男

A Contrast Enhancement Framework with JPEG Artifacts Suppressionxisting methods tend to over smooth the image. When applied as post-processing, these are often ineffective at removing the boosted artifacts. To resolve this problem, we propose a framework that suppresses compression artifacts as an integral part of the contrast enhancement procedure. We show that

技术

Tubular Structure Filtering by Ranking Orientation Responses of Path Operatorse show that by ranking the directional response of this operator, we are further able to efficiently distinguish between blob, thin planar and tubular structures. We validate this approach on several applications, both from a qualitative and a quantitative point of view, demonstrating noise robustne

技术

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foppish

On Mean Pose and Variability of 3D Deformable Modelsmization inference problem and solved by alternatively minimizing two nested fixed point iterations. We show that this framework provides a new fundamental building block for various applications of shape analysis, and achieves comparable tracking performance to state of the art surface tracking tec

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