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

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發(fā)表于 2025-3-21 18:54:22 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computer Vision -- ACCV 2010 Workshops
副標題ACCV 2010 Internatio
編輯Reinhard Koch,Fay Huang
視頻videohttp://file.papertrans.cn/235/234106/234106.mp4
概述Up-to-date results.Fast-track conference proceedings.State-of-the-art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Vision -- ACCV 2010 Workshops; ACCV 2010 Internatio Reinhard Koch,Fay Huang Conference proceedings 2011 Springer-Verlag GmbH Berli
描述.The two-volume set LNCS 6468-6469 contains the carefully selected and reviewed papers presented at the eight workshops that were held in conjunction with the 10th Asian Conference on Computer Vision, in Queenstown, New Zealand, in November 2010..From a total of 167 submissions to all workshops, 89 papers were selected for publication. The contributions are grouped together according to the main workshops topics, which were: computational photography and aesthetics; computer vision in vehicle technology: from Earth to Mars; electronic cultural heritage; subspace based methods; video event categorization, tagging and retrieval; visual surveillance; application of computer vision for mixed and augmented reality..
出版日期Conference proceedings 2011
關鍵詞Computational Geometry; Digital Art; Image Processing; Image Segmentation; Video Processing
版次1
doihttps://doi.org/10.1007/978-3-642-22819-3
isbn_softcover978-3-642-22818-6
isbn_ebook978-3-642-22819-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
The information of publication is updating

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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
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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
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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
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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
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