English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Modeling Human Visual Object Recognition

Edelmann, S., & Bülthoff, H. (1992). Modeling Human Visual Object Recognition. In International Joint Conference on Neural Networks (IJCNN '92) (pp. 37-42). Piscataway, NJ, USA: IEEE.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Edelmann, S, Author
Bülthoff, HH1, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

Content

show
hide
Free keywords: -
 Abstract: The topics discussed here are network models of object recognition; a computational theory of recognition; psychophysical support for a view-interpolation model: and an open issue, features of recognition. The authors survey a successful replication of central characteristics of performance in 3-D object recognition by a computational model based on interpolation among a number of stored views of each object. Network models of 3-D object recognition based on interpolation among specific stored views behave in several respects similarly to human observers in a number of recognition tasks. Even closer replication of human performance in recognition should be expected, once the issue of the features used to represent object views is resolved.

Details

show
hide
Language(s):
 Dates: 1992-06
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISBN: 0-7803-0559-0
URI: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=arnumber=227292
DOI: 10.1109/IJCNN.1992.227292
BibTex Citekey: 698
 Degree: -

Event

show
hide
Title: International Joint Conference on Neural Networks (IJCNN '92)
Place of Event: Baltimore, MD, USA
Start-/End Date: -

Legal Case

show

Project information

show

Source 1

show
hide
Title: International Joint Conference on Neural Networks (IJCNN '92)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 37 - 42 Identifier: -