A Theory of Shape Identification
Recent years have seen dramatic progress in shape recognition algorithms applied to ever-growing image databases. They have been applied to image stitching, stereo vision, image mosaics, solid object recognition and video or web image retrieval. More fundamentally, the ability of humans and animals...
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| المؤلفون الرئيسيون: | , , , , |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| الطبعة: | 1st ed. 2008. |
| سلاسل: | Lecture Notes in Mathematics
1948 |
| الموضوعات: | |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • A theory of shape identification, Frédéric Cao, José-Luis Lisani, Jean-Michel Morel... [et al.], Berlin, Springer, 2008, 1 vol. (XI-257 p.), Lecture notes in mathematics, 978-3-540-68480-0 |
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| 008 | 081009q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN128124458 | ||
| 020 | |a 9783540684817 | ||
| 041 | 0 | |a eng | |
| 082 | |a 516 | ||
| 082 | |a 510 | ||
| 082 | |a 516.150285 | ||
| 100 | 1 | |a Morel, Jean-Michel, |d 1953- | |
| 245 | 1 | 0 | |a A Theory of Shape Identification |c by Frédéric Cao, José-Luis Lisani, Jean-Michel Morel, Pablo Musé, Frédéric Sur ; edited by J. -M. Morel, F. Takens, B. Teissier. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture Notes in Mathematics |v 1948 |x 1617-9692 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Extracting Image boundaries Extracting Meaningful Curves from Images Level Line Invariant Descriptors Robust Shape Directions Invariant Level Line Encoding Recognizing Level Lines A Contrario Decision: the LLD Method Meaningful Matches: Experiments on LLD and MSER Grouping Shape Elements Hierarchical Clustering and Validity Assessment Grouping Spatially Coherent Meaningful Matches Experimental Results The SIFT Method The SIFT Method Securing SIFT with A Contrario Techniques | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Recent years have seen dramatic progress in shape recognition algorithms applied to ever-growing image databases. They have been applied to image stitching, stereo vision, image mosaics, solid object recognition and video or web image retrieval. More fundamentally, the ability of humans and animals to detect and recognize shapes is one of the enigmas of perception. The book describes a complete method that starts from a query image and an image database and yields a list of the images in the database containing shapes present in the query image. A false alarm number is associated to each detection. Many experiments will show that familiar simple shapes or images can reliably be identified with false alarm numbers ranging from 10-5 to less than 10-300. Technically speaking, there are two main issues. The first is extracting invariant shape descriptors from digital images. The second is deciding whether two shape descriptors are identifiable as the same shape or not. A perceptual principle, the Helmholtz principle, is the cornerstone of this decision. These decisions rely on elementary stochastic geometry and compute a false alarm number. The lower this number, the more secure the identification. The description of the processes, the many experiments on digital images and the simple proofs of mathematical correctness are interlaced so as to make a reading accessible to various audiences, such as students, engineers, and researchers | ||
| 650 | |a Théorie de la forme (topologie) | ||
| 650 | |a Identification automatique | ||
| 650 | |a Théorie des jeux | ||
| 650 | |a Reconnaissance des formes (informatique) | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Traitement d'images | ||
| 650 | |a Mathématiques | ||
| 700 | 1 | |a Cao, Frédéric, |d 19..- |4 aut | |
| 700 | 1 | |a Musé, Pablo, |d 1975- |4 aut | |
| 700 | 1 | |a Lisani, José-Luis, |d 1970- |4 aut | |
| 700 | 1 | |a Sur, Frédéric, |d 1976- |4 aut | |
| 776 | 0 | |0 12759115X |t A theory of shape identification |f Frédéric Cao, José-Luis Lisani, Jean-Michel Morel... [et al.] |c Berlin |n Springer |d 2008 |p 1 vol. (XI-257 p.) |s Lecture notes in mathematics |z 978-3-540-68480-0 | |
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