Gestalt laws of grouping revisited and quantified

3 June 1997 Gestalt laws of grouping revisited and quantified

Michael Kubovy

Author Affiliations +

Proceedings Volume 3016, Human Vision and Electronic Imaging II; (1997) https://doi.org/10.1117/12.274537
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

The classic Gestalt laws of grouping by proximity and grouping by similarity have never been quantified, nor have their interactions been specified with any degree of precision. I will present a number of experimental and theoretical results from my lab, based on the responses of human observers to repeated brief (approximately 300 ms) presentations of perceptually multi-stable periodic dot patterns. I will show that the distribution of the probability of seeing any one of the possible perceptual interpretations is: (1) scale invariant, (2) changes little with reductions in duration to 100 ms, (3) can be predicted exactly on the assumption that dots are attracted to group with each other by a force that decays exponentially with the distance between them. I will also show that factors such the non-uniformity of lightness of dots in the lattice interact additively with the strength of grouping by proximity. I will also show how the fact that grouping is a hierarchical process expresses itself within the framework of the proposed model.

Citation Download Citation

Michael Kubovy "Gestalt laws of grouping revisited and quantified", Proc. SPIE 3016, Human Vision and Electronic Imaging II, (3 June 1997); https://doi.org/10.1117/12.274537

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