Low-Power Smart Imagers for Vision-Enabled Sensor Networks
This book presents a comprehensive, systematic approach to the development of vision system architectures that employ sensory-processing concurrency and parallel processing to meet the autonomy challenges posed by a variety of safety and surveillance applications. Coverage includes a thorough analy...
Guardat en:
| Autors principals: | , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New York, NY :
Springer New York
2012.
Cham : Springer Nature |
| Accés en línia: | 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: | • Low-power smart imagers for vision-enabled sensor networks, Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vásquez, New York, Springer, 2012, 1 vol. (xxiii-156 p.), 978-1-4614-2391-1 • Low-Power Smart Imagers for Vision-Enabled Sensor Networks, Texte imprimé, 9781461423935 • Low-Power Smart Imagers for Vision-Enabled Sensor Networks, Texte imprimé, 9781489995407 |
Taula de continguts:
- Introduction
- Vision-enabled WSN Nodes: State of the Art
- Processing Primitives for Image Simplification
- VLSI Implementation of Linear Diffusion
- FLIP-Q: A QCIF Resolution Focal-plane Array for Low-power Image Processing
- Wi-FLIP: A Low-power Vision-enabled WSN Node
- Case Study: Early Detection of Forest Fires.