Recognizing planar objects using invariant image features
Given a familiar object extracted from its surroundings, we humans have little difficulty in recognizing it irrespective of its size, position and orientation in our field of view. Changes in lighting and the effects of perspective also pose no problems. How do we achieve this, and more importantly,...
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| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Schriftenreihe: | Lecture notes in computer science
676 |
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| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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| Edition sous un autre format: | • Recognizing planar objects using invariant image features, Thomas H. Reiss, Berlin, Springer-Verlag, 1993, 1 vol. (X-180 p.), Lecture notes in computer science, 3-540-56713-5 • Recognizing Planar Objects Using Invariant Image Features, Texte imprimé, 9783662188842 |
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| 100 | 1 | |a Reiss, Thomas H., |d 1966- | |
| 245 | 1 | 0 | |a Recognizing planar objects using invariant image features |c Thomas H. Reiss. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science |v 676 |x 1611-3349 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Translation, rotation, scale and contrast invariants -- Algebraic and projective invariants -- Invariance to affine transformations -- Invariance to projective transformations -- Recognizing partially occluded objects -- Summary and conclusions. | |
| 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 Given a familiar object extracted from its surroundings, we humans have little difficulty in recognizing it irrespective of its size, position and orientation in our field of view. Changes in lighting and the effects of perspective also pose no problems. How do we achieve this, and more importantly, how can we get a computer to do this? One very promising approach is to find mathematical functions of an object's image, or of an object's 3D description, that are invariant to the transformations caused by the object's motion. This book is devoted to the theory and practice of such invariant image features, so-called image invariants, for planar objects. It gives a comprehensive summary of the field, discussing methods for recognizing both occluded and partially occluded objects, and also contains a definitive treatmentof moment invariants and a tutorial introduction to algebraic invariants, which are fundamental to affine moment invariants and to many projective invariants. A number of novel invariant functions are presented and the results of numerous experiments investigating the stability of new and old invariants are discussed. The main conclusion is that moment invariants are very effective, both for partially occluded objects and for recognizing objects in grey-level images. | ||
| 650 | |a Informatique | ||
| 650 | |a Traitement d'images |x Techniques numériques | ||
| 650 | |a Vision par ordinateur | ||
| 650 | |a Traitement d'images | ||
| 650 | |a Géométrie projective | ||
| 650 | |a Reconnaissance optique des formes (informatique) | ||
| 650 | |a Perception des structures | ||
| 650 | |a Géométrie | ||
| 650 | |a Transformations (mathématiques) | ||
| 776 | 0 | |0 016865154 |t Recognizing planar objects using invariant image features |f Thomas H. Reiss |c Berlin |n Springer-Verlag |d 1993 |p 1 vol. (X-180 p.) |s Lecture notes in computer science |z 3-540-56713-5 | |
| 776 | 0 | |t Recognizing Planar Objects Using Invariant Image Features |b Texte imprimé |z 9783662188842 | |
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| 856 | 4 | |5 180339901:750929553 |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/BFb0017553 |z Accès INSA CVL | |
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