Resolution And Invariance Criteria For Object Pattern Recognition

Lowell Jacobson; Uwe Thomanschefsky; Harry Wechsler

doi:10.1117/12.946163

17 January 1985 Resolution And Invariance Criteria For Object Pattern Recognition

Lowell Jacobson, Uwe Thomanschefsky, Harry Wechsler

Proceedings Volume 0521, Intelligent Robots and Computer Vision; (1985) https://doi.org/10.1117/12.946163
Event: 1984 Cambridge Symposium, 1984, Cambridge, United States

Abstract

We overview progress toward implementing a simulation system, being designed at Honeywell, to demonstrate robust recognition of planar shapes and textures in a scene irrespective of their variable appearance in the image as affected by a priori unknown perspective, position, orientation, size, range, illumination, and partial occlusion. The system is based on a theory that two of the authors have previously proposed for invariant visual form recognition. Besides describing the advanced image representation to be employed, we also introduce a pattern detection/association subsystem that allows one to directly use invariant visual patterns to "address out" related information from a distributed associative memory.

Citation Download Citation

Lowell Jacobson, Uwe Thomanschefsky, and Harry Wechsler "Resolution And Invariance Criteria For Object Pattern Recognition", Proc. SPIE 0521, Intelligent Robots and Computer Vision, (17 January 1985); https://doi.org/10.1117/12.946163

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