Recognition Of Complex Three Dimensional Objects Using Three Dimensional Moment Invariants

Firooz A. Sadjadi

doi:10.1117/12.946167

17 January 1985 Recognition Of Complex Three Dimensional Objects Using Three Dimensional Moment Invariants

Firooz A. Sadjadi

Proceedings Volume 0521, Intelligent Robots and Computer Vision; (1985) https://doi.org/10.1117/12.946167
Event: 1984 Cambridge Symposium, 1984, Cambridge, United States

Abstract

A technique for the recognition of complex three dimensional objects is presented. The complex 3-D objects are represented in terms of their 3-D moment invariants, algebraic expressions that remain invariant independent of the 3-D objects' orientations and locations in the field of view. The technique of 3-D moment invariants has been used successfully for simple 3-D object recognition in the past. In this work we have extended this method for the representation of more complex objects. Two complex objects are represented digitally; their 3-D moment invariants have been calculated, and then the invariancy of these 3-D invariant moment expressions is verified by changing the orientation and the location of the objects in the field of view. The results of this study have significant impact on 3-D robotic vision, 3-D target recognition, scene analysis and artificial intelligence.

Citation Download Citation

Firooz A. Sadjadi "Recognition Of Complex Three Dimensional Objects Using Three Dimensional Moment Invariants", Proc. SPIE 0521, Intelligent Robots and Computer Vision, (17 January 1985); https://doi.org/10.1117/12.946167

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