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Attention in hierarchical models of object recognition (2007)
| Venue: | Prog. Brain Res |
| Citations: | 13 - 0 self |
BibTeX
@ARTICLE{Walther07attentionin,
author = {Dirk B. Walther and Christof Koch},
title = {Attention in hierarchical models of object recognition},
journal = {Prog. Brain Res},
year = {2007},
pages = {57--78}
}
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Abstract
Object recognition and visual attention are tightly linked processes in human perception. Over the last three decades, many models have been suggested to explain these two processes and their interactions, and in some cases these models appear to contradict each other. We suggest a unifying framework for object recognition and attention and review the existing modeling literature in this context. Furthermore, we demonstrate a proof-of-concept implementation for sharing complex features between recognition and attention as a mode of top-down attention to particular objects or object categories. “At first he’d most easily make out the shadows; and after that the phantoms of the human beings and the other things in water; and, later, the things them-selves. ” — Socrates describing the visual experience of a man exposed to the richness of the visual world outside his cave for the first time (Plato, The Re-public). 1 1
Keyphrases
object recognition hierarchical model human perception proof-of-concept implementation human being object category many model unifying framework visual world visual attention thing them-selves first time top-down attention modeling literature visual experience particular object complex feature
