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Titlebook: Computer Analysis of Images and Patterns; 7th International Co Gerald Sommer,Kostas Daniilidis,Josef Pauli Conference proceedings 1997 Spri

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書目名稱Computer Analysis of Images and Patterns
副標(biāo)題7th International Co
編輯Gerald Sommer,Kostas Daniilidis,Josef Pauli
視頻videohttp://file.papertrans.cn/234/233436/233436.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Analysis of Images and Patterns; 7th International Co Gerald Sommer,Kostas Daniilidis,Josef Pauli Conference proceedings 1997 Spri
描述This book constitutes the refereed proceedings of the 7th International Conference on Computer Analysis of Images and Patterns, CAIP ‘97, held in Kiel, Germany, in September 1997..The volume presents 92 revised papers selected during a double-blind reviewing process from a total of 150 high-quality submissions. The papers are organized in topical sections on pattern analysis, object recognition and tracking, invariants, applications, shape, texture analysis, motion calibration, low-level processing, structure from motion, stereo and correspondence, segmentation and grouping, mathematical morphology, pose estimation, and face analysis.
出版日期Conference proceedings 1997
關(guān)鍵詞Analysis; Imaging; Mathematical Morphology; Object Recognition; Pattern Analysis; Stereo; Stereo Vision; co
版次1
doihttps://doi.org/10.1007/3-540-63460-6
isbn_softcover978-3-540-63460-7
isbn_ebook978-3-540-69556-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1997
The information of publication is updating

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E. B. Dynkin,A. A. Juschkewitschesult in mis-segmentations. In the present paper we demonstrate that an affine transformation, and particularly, an elastic transformation yield an excellent patient motion compensation which is a sufficient basis for the segmentation algorithm. We describe a registration procedure based on the esti
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Die geistige Situation der Zeit,invariants of them. In recognition stage, we calculate the needed invariants from an unknown image and used as indexing keys to retrieve from the model base the possible matches with the model features. We hypothesize the existence of an instance of the model if a model‘s features scores enough hits on the vote count.
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,Das Umfeld des S?ngerInnenberufs,ature maxima, torsion extrema or curvature discontinuity. The quasi-linearity feature of this transformation allows recognition of two or more images without segmentation. It also allows the reconstruction of image when a part of it is missing or the recognition when extra noise curves are on the same scene.
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Non-rigid object recognition using principal component analysis and geometric hashing,invariants of them. In recognition stage, we calculate the needed invariants from an unknown image and used as indexing keys to retrieve from the model base the possible matches with the model features. We hypothesize the existence of an instance of the model if a model‘s features scores enough hits on the vote count.
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Point projective and permutation invariants,bilities of the choice of their roots are referred and their normalization is discussed..Then, the invariants for more than five points are derived. Stability and discriminability of the features is demonstrated by numerical experiments.
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