Object Modelling And Redundancy Reduction: Algorithmic Information Theory Revisited

L. Van Gool; J. Wagemans; A. Oosterlinck

doi:10.1117/12.961648

11 October 1989 Object Modelling And Redundancy Reduction: Algorithmic Information Theory Revisited

L. Van Gool, J. Wagemans, A. Oosterlinck

Proceedings Volume 1135, Image Processing III; (1989) https://doi.org/10.1117/12.961648
Event: 1989 International Congress on Optical Science and Engineering, 1989, Paris, France

Abstract

Human subjects easily perceive and extensively use shape regularities such as symmetry or periodicity when they are confronted with the task of object description and recognition. A computer vision algorithm is presented which emulates such behaviour in that it similarly makes use of shape redundancies for the concise description and meaningful segmentation of object contours. A shape complexity measure is proposed, based on making such structure explicit, and therefore akin to algorithmic information theory.

Citation Download Citation

L. Van Gool, J. Wagemans, and A. Oosterlinck "Object Modelling And Redundancy Reduction: Algorithmic Information Theory Revisited", Proc. SPIE 1135, Image Processing III, (11 October 1989); https://doi.org/10.1117/12.961648

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