Combining multiple cues for texture edge localization

Michael S. Landy

doi:10.1117/12.152725

8 September 1993 Combining multiple cues for texture edge localization

Michael S. Landy

Proceedings Volume 1913, Human Vision, Visual Processing, and Digital Display IV; (1993) https://doi.org/10.1117/12.152725
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

A visual feature such as an edge may be signaled by one of any number of visual cues such as modulation of brightness, color, stereo disparity, motion, texture and so on. Here, a theory is reviewed which suggests that when more than one cue is available, separate location estimates are made using each cue, and the resulting estimates are averaged. Cues which are more reliable are given a correspondingly larger weight in the average. A psychophysical paradigm (perturbation analysis) is described for testing whether the theory applies and estimating its parameters. Preliminary results are described for localization of texture edges signaled by changes in contrast, local texture orientation and local texture scale. The data are consistent with the theory: In the data, individual cues appear to be averaged and more reliable cues are given more weight.

Citation Download Citation

Michael S. Landy "Combining multiple cues for texture edge localization", Proc. SPIE 1913, Human Vision, Visual Processing, and Digital Display IV, (8 September 1993); https://doi.org/10.1117/12.152725

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