Titlebook: Computer Vision -- ACCV 2010 Workshops; ACCV 2010 Internatio Reinhard Koch,Fay Huang Conference proceedings 2011 Springer-Verlag GmbH Berli

快乐

书目名称Computer Vision -- ACCV 2010 Workshops影响因子(影响力)




书目名称Computer Vision -- ACCV 2010 Workshops影响因子(影响力)学科排名




书目名称Computer Vision -- ACCV 2010 Workshops网络公开度




书目名称Computer Vision -- ACCV 2010 Workshops网络公开度学科排名




书目名称Computer Vision -- ACCV 2010 Workshops被引频次




书目名称Computer Vision -- ACCV 2010 Workshops被引频次学科排名




书目名称Computer Vision -- ACCV 2010 Workshops年度引用




书目名称Computer Vision -- ACCV 2010 Workshops年度引用学科排名




书目名称Computer Vision -- ACCV 2010 Workshops读者反馈




书目名称Computer Vision -- ACCV 2010 Workshops读者反馈学科排名

intoxicate

Model Based Pose Estimation Using SURFds of research. When aiming for a model based pose estimation approach, several questions arise: What is the model? How do we acquire a model? How is the image linked to the model? How is a pose computed and verified using the latter information? In this paper we present a new approach towards model

带伤害

APEX

WITH

definition

Interactive Video Layer Decomposition and Mattingn. In this paper, we present a user-assisted framework to decompose videos and extract all layers, which is built on the depth information and over-segmented patches. The task is split into two stages: i) the clustering of over-segmented patches; ii) the propagation of layers along the video. Corres

definition

充满人

Shape Prior Embedded Geodesic Distance Transform for Image Segmentationeved impressive performances, they face problems where multiple similar objects are in close proximity to one another. We improve geodesic distance transform and define a symmetric morphology filter for segmentation. We embed shape prior knowledge into this geodesic distance transform filter. The pr

使隔离

Shortest Path Based Planar Graph Cuts for Bi-layer Segmentation of Binocular Stereo Videog models using stereo, contrast or color alone are usually not accurate enough to be satisfactory. Furthermore, the powerful tool of graph cut which is well suited for segmentation is known to be not efficient enough especially for high resolution images. In this paper, we conquer these difficulties

不公开