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Titlebook: Computer Vision - ECCV ‘94; Third European Confe Jan-Olof Eklundh Conference proceedings 1994 Springer-Verlag Berlin Heidelberg 1994 Bewegu

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書目名稱Computer Vision - ECCV ‘94
副標(biāo)題Third European Confe
編輯Jan-Olof Eklundh
視頻videohttp://file.papertrans.cn/235/234292/234292.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Vision - ECCV ‘94; Third European Confe Jan-Olof Eklundh Conference proceedings 1994 Springer-Verlag Berlin Heidelberg 1994 Bewegu
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. This two-volume proceedings collects the 115 papers accepted for presentation at the 3rd ECCV, held in Stockholm in May 1994. The papers were selected from over 300 submissions and together give a well balanced reflection of the state of the art in computer vision. The papers in Volume I are grouped under the following headings: Geometry and shape, Optical flow and motion fields, Image features, Motion and flow, Motion segmentation and tracking, Ego-motion and 3D recovery, Recognition, Shape modelling, Shape estimation, Calibration and multiple views, and Stereo and calibration
出版日期Conference proceedings 1994
關(guān)鍵詞Bewegungsanalyse; Bildverarbeitung; Computer Vision; Computeranimation; Computervision; Epipolar geometry
版次1
doihttps://doi.org/10.1007/3-540-57956-7
isbn_softcover978-3-540-57956-4
isbn_ebook978-3-540-48398-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1994
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Multiple constraints for optical flow,general, these constraints limit the motion of the body in space and/or of the features on the image plane..In this paper the implications in the use of multiple constraints in the computational schema are considered. It is shown that differential constraints correspond to an implicit feature tracki
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Sufficient image structure for 3-D motion and shape estimation,in front of the camera. We assume that only the first order spatio-temporal derivative or of the image is given and that the image intensity is continuously differentiable everywhere or that image contours are continuously differentiable. This means that only the component of the image motion field
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A comparison between the standard Hough Transform and the Mahalanobis distance Hough Transform,is paper presents two related techniques. First, a new Hough function is proposed based on a Mahalanobis distance measure that incorporates a formal stochastic model for measurement and model noise. Thus, the effects of image and parameter space quantisation can be incorporated directly. Given a res
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Junction classification by multiple orientation detection,rientation at one single point, the so called keypoint. In this work we investigate the performance of highly orientation selective functions to detect multiple orientations and to characterize junctions. A quadrature pair of functions is used to detect lines as well as edges and to distinguish betw
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