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Titlebook: Recognizing Planar Objects Using Invariant Image Features; Thomas H. Reiss Book 1993 Springer-Verlag Berlin Heidelberg 1993 3D.Affine Inva

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書(shū)目名稱Recognizing Planar Objects Using Invariant Image Features
編輯Thomas H. Reiss
視頻videohttp://file.papertrans.cn/825/824075/824075.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Recognizing Planar Objects Using Invariant Image Features;  Thomas H. Reiss Book 1993 Springer-Verlag Berlin Heidelberg 1993 3D.Affine Inva
描述Given a familiar object extracted from its surroundings, wehumans have little difficulty in recognizing it irrespectiveof its size, position andorientation in our field of view.Changes in lighting and the effects ofperspective also poseno problems. How do we achieve this, and more importantly,how can we get a computer to do this? One very promisingapproach is to find mathematical functions of anobject‘simage, or of an object‘s 3D description, that are invariantto the transformations caused by the object‘s motion.This book is devoted tothe theory and practice of suchinvariant image features, so-called image invariants, forplanar objects. It gives a comprehensive summary of thefield, discussing methods for recognizing both occluded andpartially occluded objects, and also contains a definitivetreatmentof moment invariants and a tutorial introductionto algebraic invariants, which are fundamental to affinemoment invariants and to many projectiveinvariants.A number of novel invariant functions are presented and theresults of numerous experiments investigating the stabilityof newand old invariants are discussed. The main conclusionis that momentinvariants are very effective, both forparti
出版日期Book 1993
關(guān)鍵詞3D; Affine Invarianten; Affine Invariants; Moment; Objekterkennung; Partial Occlusion; Partielle überdecku
版次1
doihttps://doi.org/10.1007/BFb0017553
isbn_softcover978-3-540-56713-4
isbn_ebook978-3-540-47634-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1993
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Invariance to affine transformations,rmalization, Fourier descriptors, differential (local) invariants and correlation invariants. We saw in chapter 1 that we would like invariant features to index the correct model in a database; normalizing an image followed by template matching appears to be robust to additive noise [36], but it ach
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Recognizing Planar Objects Using Invariant Image Features978-3-540-47634-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Translation, rotation, scale and contrast invariants,
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Recognizing Planar Objects Using Invariant Image Features
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