Titlebook: Computer Vision –ACCV 2016; 13th Asian Conferenc Shang-Hong Lai,Vincent Lepetit,Yoichi Sato Conference proceedings 2017 Springer Internatio

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书目名称Computer Vision –ACCV 2016影响因子(影响力)




书目名称Computer Vision –ACCV 2016影响因子(影响力)学科排名




书目名称Computer Vision –ACCV 2016网络公开度




书目名称Computer Vision –ACCV 2016网络公开度学科排名




书目名称Computer Vision –ACCV 2016被引频次




书目名称Computer Vision –ACCV 2016被引频次学科排名




书目名称Computer Vision –ACCV 2016年度引用




书目名称Computer Vision –ACCV 2016年度引用学科排名




书目名称Computer Vision –ACCV 2016读者反馈




书目名称Computer Vision –ACCV 2016读者反馈学科排名

分离

https://doi.org/10.1007/978-981-19-3355-4omparison and boosted scientific progress..In the emergent light field community, a comparable benchmark and evaluation methodology is still missing. The performance of newly proposed methods is often demonstrated qualitatively on a handful of images, making quantitative comparison and targeted prog

refine

强所

https://doi.org/10.1007/978-981-19-3355-4tion filters concentrate the blurring near features and introduced the hole artifacts, making the subsequent processing procedures complicated. Optimization-based methods can globally distribute such blurring, leading to better feature preservation. Motivated by this, we propose a novel optimization

褪色

Talkative

https://doi.org/10.1007/978-3-540-24820-0e rays passing through a 3D point. By analyzing the statistics of SCam, a consistency-depth measurement is evaluated for depth estimation. However, local depth estimation still has limitations. A global method with pixel-wise plane label is presented in this paper. Plane model inference at each pixe

Talkative

https://doi.org/10.1007/978-3-540-24820-0ve similar direct and global components, but it normally leads to loss of spatial resolution of the results. To tackle such problem, we present a novel approach for separating direct and global components of a scene in full spatial resolution from a single captured image, which employs linear basis

存在主义

Ingrid Matthäus-Maier,J. D. Pischketical device consists of a pair of faced paraboloidal mirrors with holes around their vertexes. In the device, a lens-less image sensor is set at one side of their holes and an object is set at the opposite side. The characteristic of the device is that the shape of the point spread function varies

mitral-valve

为现场

https://doi.org/10.1007/978-3-540-24820-0ns. The crux of this problem lies in learning the complex mapping between low-resolution patches and the corresponding high-resolution patches. Prior arts have used either a mixture of simple regression models or a single non-linear neural network for this propose. This paper proposes the method of