Modelfest: principal component analysis reveals underlying channel structure

Chien-Chung Chen; Christopher W. Tyler

doi:10.1117/12.387151

2 June 2000 Modelfest: principal component analysis reveals underlying channel structure

Proceedings Volume 3959, Human Vision and Electronic Imaging V; (2000) https://doi.org/10.1117/12.387151
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

In Year One of the Modelfest project, several laboratories collaborated to collect threshold data of human observers on 45 pattern stimuli. In this preliminary study, we used a principal component analysis (PCA) and a confirmatory factor analysis on the variations among observers to explore the underlying visual mechanisms for detecting Modelfest Stimuli. This analysis is based on the assumption that there are channels in common among observers that are represented with variations in sensitivity level only. We found three principal components. Assuming that each principal component represents a single mechanism, we compute the sensitivity profile of each mechanism as the sum of test stimuli weighted by the factor loadings on each component. The first mechanism is a spot detector. The second mechanism is dominated by a horizontal periodic pattern around 4 c/deg and the third may be characterized as a narrow bar detector.

Citation Download Citation

Chien-Chung Chen and Christopher W. Tyler "Modelfest: principal component analysis reveals underlying channel structure", Proc. SPIE 3959, Human Vision and Electronic Imaging V, (2 June 2000); https://doi.org/10.1117/12.387151

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available