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Titlebook: Computer Vision - ECCV ‘94; Third European Confe Jan-Olof Eklundh Conference proceedings 1994 Springer-Verlag Berlin Heidelberg 1994 3D.Com

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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/235/234291/234291.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 3D.Com
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 II are grouped under the following headings: Active vision, Motion and structure, Matching and registration, Segmentation and restoration, Illumination, Shading and colour, Motion segmentation, Feature-extraction, Registration and reconstruction, and Geometry and invariants.
出版日期Conference proceedings 1994
關(guān)鍵詞3D; Computer Vision; Epipolar geometry; Navigation; Optical flow; Planar; Shading; Stereo; Textur; Tracking; a
版次1
doihttps://doi.org/10.1007/BFb0028329
isbn_softcover978-3-540-57957-1
isbn_ebook978-3-540-48400-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1994
The information of publication is updating

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R. L?hner,K. Morgan,O. C. Zienkiewicztained from real-time tracking of image features through a sequence of images. Object information is stored and retrieved in a hash table using the invariants as stable indices. Recognition takes place when significant evidence for a particular shape has been found from the table. Results with real
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The Genetics of Eggplant Nutrition,silhouette of the object, viewed from a camera mounted with a gripper, on a moving robot arm. Geometric information from analysis of motion around one vantage point is used to guide the robot towards a new vantage point from which the . (inverse image of the silhouette) admits a more stable grasp. T
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https://doi.org/10.1057/978-1-137-59372-6formations which map signals from virtual sensors into commands for devices. These transformations define reactive processes which tightly couple perception and action. Such transformations may be used to control robotic devices, including fixation an active binocular head, as well as the to select
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https://doi.org/10.1007/978-3-030-77263-5f many existing algorithms is that they rely on the selection of a minimal point set to define a “l(fā)ocal coordinate frame”. This approach is extremely sensitive to errors and noise, and forfeits the advantages of using the full data set. Furthermore, attention is seldom paid to the statistical perfor
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Solutions and Hints to Exercises motion processing. In particular, we consider the task of dynamically aligning the optical axis of a translating camera with its unknown direction of translation, by controlling the orientation of the camera. Parameters of the 2D affine motion model are used. We show experimental results of this me
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