Cross-section-based multiple-view range image fusion approach

Helai Yao; Ron Podhorodeski; Zuomin Dong

doi:10.1117/12.155087

3 September 1993 Cross-section-based multiple-view range image fusion approach

Helai Yao, Ron Podhorodeski, Zuomin Dong

Proceedings Volume 1956, Sensor Fusion and Aerospace Applications; (1993) https://doi.org/10.1117/12.155087
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

In this paper, a method for multiple-view range image fusion is presented. The method is based on partial geometric modeling for each acquired range image and on model updating for image fusion to obtain a complete 3D geometric description of objects. The presented approach conducts partial modeling and range image processing in a device frame to reduce the computational complexity associated with handling range data in a Cartesian frame. Each partial model is mapped into a global Cartesian frame, and is integrated with the fusion model obtained from previous partial models.

Citation Download Citation

Helai Yao, Ron Podhorodeski, and Zuomin Dong "Cross-section-based multiple-view range image fusion approach", Proc. SPIE 1956, Sensor Fusion and Aerospace Applications, (3 September 1993); https://doi.org/10.1117/12.155087

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