Moment Invariants Of Perspective Transformation

Firooz A. Sadjadi

doi:10.1117/12.960274

27 March 1989 Moment Invariants Of Perspective Transformation

Firooz A. Sadjadi

Proceedings Volume 1002, Intelligent Robots and Computer Vision VII; (1989) https://doi.org/10.1117/12.960274
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

Abstract

One of the fundamental problems in pattern recognition, computer vision, and scene analysis is the recognition of objects independent of size, translation, rotation, and perspective transformation. Perspective transformations are important because any lens system induces such a transformation. Extraction of attributes that are invariant under such transformations is important, because such attributes exploit the essential, nonchanging, and discriminatory natures of the physical objects Moreover, using such invariant attributes significantly reduces the complexities of the computation and the storage requirements of recognition systems. In this paper we derive a unique set of moment invariants of perspective transformation. We also provide experimental results for a set of geometrical 3D objects verifying the invariancies and uniqueness of the derived moments for several different & arbitrary perspective transformations.

Citation Download Citation

Firooz A. Sadjadi "Moment Invariants Of Perspective Transformation", Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); https://doi.org/10.1117/12.960274

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