Edición de la obra Real-Time Object Measurement and Classification
| Autor | Anil K. Jain |
|---|---|
| Editorial | Springer Berlin Heidelberg |
| Fecha de publicación | 1988 |
| Lugar | Berlin, Heidelberg |
| Idioma | inglés |
| Páginas | 407 |
| Formato | [electronic resource] / |
| ISBN-13 | 9783642833274, 9783642833250 |
| ISBN-10 | 3642833276, 364283325X |
| OCLC | 851369412 |
| Serie | NATO ASI Series, Series F: Computer and Systems Sciences -- 42 · NATO ASI Series, Series F: Computer and Systems Sciences -- 42 |
| Número de Cutter | J25r |
|---|
This book contains papers presented at the NATO Advanced Research Workshop on "Real-time Object and Environment Measurement and Classification" held in Maratea, Italy, August 31 - September 3, 1987. This workshop was organized within the activities of the NATO Special Programme on Sensory Systems for Robotic Control. Four major themes were discussed at this workshop: Real-time Requirements, Feature Measurement, Object Representation and Recognition, and Architecture for Measurement and Classification. A total of twenty-five technical presentations, contained in this book, cover a wide spectrum of topics including hardware implementation of specific vision algorithms, a complete vision system for object tracking and inspection, using three cameras (trinocular stereo) for feature measurement, neural network for object recognition, integration of CAD (Computer Aided Design) and vision systems, and the use of pyramid architectures for solving various computer vision problems. These papers are written by some of the very well-known researchers in the computer vision and pattern recognition community, and represent both industrial and academic viewpoints. The authors come from thirteen different countries from Europe and North America. Therefore, readers will get a first hand and current information about the status of computer vision research in various western countries. Further, this book will also be useful in understanding the current research issues in computer vision and the difficulties in designing real-time vision systems.