Filtering, segmentation, and depth
Computer vision seeks a process that starts with a noisy, ambiguous signal from a TV camera and ends with a high-level description of discrete objects located in 3-dimensional space and identified in a human classification. This book addresses the process at several levels. First to be treated are t...
Uloženo v:
| Hlavní autoři: | , , |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin ; Heidelberg :
Springer-Verlag : Springer e-books
[20..].
Cham : Springer Nature |
| Edice: | Lecture notes in computer science
662 |
| Témata: | |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Filtering, segmentation, and depth, M. Nitzberg, D. Mumford, T. Shiota, 1993, Berlin, Springer-Verlag, 1 vol. (VI-143 p.), Lecture notes in computer science, 3-540-56484-5 • Filtering, Segmentation and Depth, Texte imprimé, 9783662174388 |
Obsah:
- Overview
- Filtering for occlusion detection
- Finding contours and junctions
- Continuations
- Finding the 2.1D sketch
- Conclusion.