Simulating Visual Acuity for Autonomous Agent: A Data-Driven Approach
Pages 194 - 196
Abstract
The system that links intelligent agents to their world is their synthetic senses, allowing them to perceive and interact with the world around them. How such a system is modelled is important since an agent uses the data generated by its synthetic senses to make decisions and change behaviours. This paper will discuss a data-driven synthetic sight model for an autonomous agent that incorporates the concepts of human peripheral vision and visual acuity. We have developed and implemented a synthetic sight model that facilitates a good simulation of these physiological aspects of human sight.
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Index Terms
- Simulating Visual Acuity for Autonomous Agent: A Data-Driven Approach
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Published In
July 2019
282 pages
ISBN:9781450366724
DOI:10.1145/3308532
- General Chairs:
- Catherine Pelachaud,
- Jean-Claude Martin,
- Program Chairs:
- Hendrik Buschmeier,
- Gale Lucas,
- Stefan Kopp
Copyright © 2019 Owner/Author.
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Published: 01 July 2019
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IVA '19 Paper Acceptance Rate 15 of 63 submissions, 24%;
Overall Acceptance Rate 53 of 196 submissions, 27%
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