Object detection based on correlation on transformation groups

Lamia BenYoussef; Jun Shen; Faouzi Ghorbel

doi:10.1117/12.441636

24 September 2001 Object detection based on correlation on transformation groups

Lamia BenYoussef, Jun Shen, Faouzi Ghorbel

Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441636
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

In this work, we propose a unified formulation for correlation techniques in a theoretical framework based on group theory. Indeed, correlation on groups can be defined in terms of transformation groups, feature spaces and invariant measures. As an important example, we describe the correlation functions for the affine group and some of its subgroups. Algorithms are illustrated on underwater images to detect and identify specific objects (such as trawl traces) independently of their pose on the sea bottom.

Citation Download Citation

Lamia BenYoussef, Jun Shen, and Faouzi Ghorbel "Object detection based on correlation on transformation groups", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); https://doi.org/10.1117/12.441636

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