When comparing machine vision systems to the visual systems of
humans and animals, there is much to be learned in terms of object
segmentation, lighting invariance, and recognition of object
categories. Studying the biological systems and applying the
findings to the structure of computational vision models and
artificial vision systems aims to be an essential approach of
advancing the field of machine vision. Developing and Applying
Biologically-Inspired Vision Systems: Interdisciplinary Concepts
provides interdisciplinary research which evaluates the performance
of machine visual models and systems in comparison to biological
systems. Blending the ideas of current scientific knowledge and
biological vision, this collection of new ideas intends to inspire
approaches and cross-disciplinary research to applications in
machine vision.
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