Three-dimensional model alignment without computing pose

Joseph L. Mundy; Paul Max Payton; Michael H. Brill; Eamon B. Barrett; Richard P. Welty

doi:10.1117/12.58060

1 April 1992 Three-dimensional model alignment without computing pose

Joseph L. Mundy, Paul Max Payton, Michael H. Brill, Eamon B. Barrett, Richard P. Welty

Proceedings Volume 1623, The 20th AIPR Workshop: Computer Vision Applications: Meeting the Challenges; (1992) https://doi.org/10.1117/12.58060
Event: The 20th AIPR Workshop, 1991, McLean, VA, United States

Abstract

Most current object recognition systems are based on a 3D model which is used to describe the image projection of an object over all viewpoints. We introduce a new technique which can predict the geometry of an object under projective transformation. The object geometry is represented by a set of corresponding features taken from two views. The projected geometry can be constructed in any third view, using a viewpoint invariant derived from the correspondences.

Citation Download Citation

Joseph L. Mundy, Paul Max Payton, Michael H. Brill, Eamon B. Barrett, and Richard P. Welty "Three-dimensional model alignment without computing pose", Proc. SPIE 1623, The 20th AIPR Workshop: Computer Vision Applications: Meeting the Challenges, (1 April 1992); https://doi.org/10.1117/12.58060

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