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Titlebook: Computer Vision - ECCV ‘96; Fourth European Conf Bernard Buxton,Roberto Cipolla Conference proceedings 1996 Springer-Verlag Berlin Heidelbe

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書目名稱Computer Vision - ECCV ‘96
副標(biāo)題Fourth European Conf
編輯Bernard Buxton,Roberto Cipolla
視頻videohttp://file.papertrans.cn/235/234294/234294.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Vision - ECCV ‘96; Fourth European Conf Bernard Buxton,Roberto Cipolla Conference proceedings 1996 Springer-Verlag Berlin Heidelbe
描述The European Conference on Computer Vision (ECCV) has established itself as a major event in this exciting and very active field of research and development. These refereed two-volume proceedings include the 123 papers accepted for presentation at the 4th ECCV, held in Cambridge, UK, in April 1996; these papers were selected from a total of 328 submissions and together give a well-balanced reflection of the state of the art in computer vision..The papers in .volume II. are grouped in sections on color vision and shading; image features; motion; medical applications; tracking; applications and recognition; calibration, focus, and optics; applications; and structure from motion.
出版日期Conference proceedings 1996
關(guān)鍵詞Bildverarbeitung; Image Processing; Pattern Recognition; Segmentation; Stereo Vision; Stereo-Vision; Track
版次1
doihttps://doi.org/10.1007/3-540-61123-1
isbn_softcover978-3-540-61123-3
isbn_ebook978-3-540-49950-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1996
The information of publication is updating

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Energy in Indonesia: The Main Factors,tion from materials is Lambertian. This paper shows that there is significant deviation from Lambertian behavior in diffuse reflection from . surfaces not predicted by existing reflectance models, having an important bearing on any computer vision technique that may utilize reflectance models includ
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Introduction to the Field Equations,ted. The proposed method is based on a differential neighborhood-sampling technique combined with a multi-scale approach and flow filtering techniques. The multi-scale approach is introduced to overcome the aliasing problem in the computation of spatial and temporal derivatives. The flow filtering i
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