Imprecision in Computer Vision

Ramesh Jain and Susan Haynes
Additional contact information
Ramesh Jain: Wayne State University, Intelligent Systems Laboratory Department of Computer Science
Susan Haynes: Wayne State University, Intelligent Systems Laboratory Department of Computer Science

A chapter in Advances in Fuzzy Sets, Possibility Theory, and Applications, 1983, pp 217-236 from Springer

Abstract: Abstract Visual perception has perplexed researchers in philosophy and psychology for centuries. Now it’s also perplexing computer scientists. Despite persistent efforts by many noted scientists, it is still unclear how our brain “sees” the visual signals received by our eyes [10]. Earlier it was believed that a good understanding of optics, the retinal image, and the anatomy and physiology of eye and brain would unravel the puzzle of visual perception. However, the many advances in these fields have not solved the problem.

Keywords: Computer Vision; Knowledge Source; Cognitive Level; Fuzzy Reasoning; Dynamic Scene (search for similar items in EconPapers)
Date: 1983
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4613-3754-6_15

Ordering information: This item can be ordered from
http://www.springer.com/9781461337546

DOI: 10.1007/978-1-4613-3754-6_15

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().