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Computational Anatomy In Low-Level Visual Processing (1993)
BibTeX
@MISC{Sabatini93computationalanatomy,
author = {Silvio P. Sabatini and Luigi Raffo and Giacomo Indiveri and Daniele D. Caviglia and Giacomo M. Bisio},
title = {Computational Anatomy In Low-Level Visual Processing},
year = {1993}
}
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Abstract
From the examination of neurophysiological data concerning all sensory areas and especially of the striate cortex it emerges that the computational properties of brain in visual processing might be related to its structural organization. In this paper, we attempt to capture the structural and anatomical rules that might underlie such computational properties; specifically, we focus our attention on low-level visual processing. In this context we consider optimal featureextractors and neuromorphic architectures for simple visual tasks. 1. Introduction The comprehension of a natural scene, the recognition of objects, or simply image segmentation involve different levels of computation. One can distinguish between low-level processing, mainly driven by sensory data, and high-level processing, mainly driven by a priori knowledge. Nevertheless, there is a not clear boundary between these two levels and all stages of computation are necessary to accomplish visual perception. Indeed, percept...
Keyphrases
low-level visual processing computational anatomy computational property low-level processing priori knowledge striate cortex image segmentation neuromorphic architecture sensory data sensory area visual processing clear boundary different level structural organization optimal featureextractors anatomical rule neurophysiological data high-level processing simple visual task visual perception natural scene
