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...
Salvato in:
| Autori principali: | , , , , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2008. |
| Serie: | Lecture Notes in Mathematics
1948 |
| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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 |
Sommario:
- 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