Machine perception using the five human defined forms plus infrared

Paul DeRego; Steven Cave

doi:10.1117/12.704050

12 February 2007 Machine perception using the five visual defined forms plus infrared

Paul DeRego, Steven Cave

Proceedings Volume 6492, Human Vision and Electronic Imaging XII; 64921C (2007) https://doi.org/10.1117/12.704050
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

A machine vision system needing to remain vigilant within its environment must be able to quickly perceive both clearly identifiable objects as well as those that are deceptive or camouflaged (attempting to blend into the background). Humans accomplish this task early in the visual pathways, using five spatially defined forms of processing. These forms are Luminance-defined, Color-defined, Texture-defined, Motion-defined, and Disparity-defined. This paper discusses a visual sensor approach that combines a biological system's strategy to break down camouflage with simple image processing algorithms that may be implemented for real time video. Thermal imaging is added to increase sensing capability. Preliminary filters using MATLAB and operating on digital still images show somewhat encouraging results. Current efforts include implementing the sensor for real-time video processing.

Citation Download Citation

Paul DeRego and Steven Cave "Machine perception using the five visual defined forms plus infrared", Proc. SPIE 6492, Human Vision and Electronic Imaging XII, 64921C (12 February 2007); https://doi.org/10.1117/12.704050

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