Natural Object Recognition presents a totally new approach to the automation of scene understanding. Rather than attempting to construct highly specialized algorithms for recognizing physical objects, as is customary in modern computer vision research, the application and subsequent evaluation of large numbers of relatively straightforward image processing routines is used to recognize natural features such as trees, bushes, and rocks. The use of contextual information is the key to simplifying the problem to the extent that well understood algorithms give reliable results in ground-level, outdoor scenes.
| Autorius: | Thomas M. Strat |
| Serija: | Springer Series in Perception Engineering |
| Leidėjas: | Springer New York |
| Išleidimo metai: | 2013 |
| Knygos puslapių skaičius: | 196 |
| ISBN-10: | 1461277256 |
| ISBN-13: | 9781461277255 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Computer architecture and logic design |
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