Fuzzy approach to object recognition

Qiang Meng; Wiley E. Thompson; Gerald M. Flachs; Jay B. Jordan

doi:10.1117/12.243185

14 June 1996 Fuzzy approach to object recognition

Qiang Meng, Wiley E. Thompson, Gerald M. Flachs, Jay B. Jordan

Proceedings Volume 2755, Signal Processing, Sensor Fusion, and Target Recognition V; (1996) https://doi.org/10.1117/12.243185
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Certain effective object recognition schemes involve the location of various distinguishing object components, extraction of component features, and the recognition based on these features. For certain classes of object recognition problems, a critical part is the automatic location of the object components. A common method for locating the object components involves the correlation of point to point or area to area. This correlation procedure can be relatively computationally expensive. This paper develops a fast, stable fuzzy approach for locating object components. The effectiveness of the approach is illustrated by an application to the human face recognition problem.

Citation Download Citation

Qiang Meng, Wiley E. Thompson, Gerald M. Flachs, and Jay B. Jordan "Fuzzy approach to object recognition", Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); https://doi.org/10.1117/12.243185

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