Paper
1 March 1991 Pyramid nets for computer vision
Michael C. Stinson
Author Affiliations +
Proceedings Volume 1386, Machine Vision Systems Integration in Industry; (1991) https://doi.org/10.1117/12.25378
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
Neural networks are applied to the computer vision recognition problem using a hierarchical approach. The object is categorized and then decomposed using a pyramid structure that proceeds from category to component level in successive steps. The method allows an improved recognition procedure by utilizing the global recognition capabilities of neural networks for separate visual segments. The pyramid structure creates a top down approach for the recognition process.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael C. Stinson "Pyramid nets for computer vision", Proc. SPIE 1386, Machine Vision Systems Integration in Industry, (1 March 1991); https://doi.org/10.1117/12.25378
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Neural networks

Machine vision

Visualization

Image visualization

System integration

Computer vision technology

Feature extraction

Back to Top