High-entropy signature using optimal coding

Jesse S. Jin

doi:10.1117/12.182880

17 August 1994 High-entropy signature using optimal coding

Jesse S. Jin

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182880
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

Abstract

This paper presents a high entropy signature for matching sequence images. Many signatures have been developed for registration, such as Fourier descriptor, mathematic moments, generalized Hough transform, and parametric curves. However, some common problems exist, such as high computational cost, poor self-correlation, and low entropy. We propose a signature using the smallest enclosing circle of the pattern. Translation, rotation, and scaling invariants are obtained from the properties of the smallest enclosing circle. Optimal coding is applied to achieve a higher entropy than many other signatures. The signature is constructed into a hierarchical structure. Sequential techniques can be applied in registration.

Citation Download Citation

Jesse S. Jin "High-entropy signature using optimal coding", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182880

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