Referenced Items are not available for this document.
A novel 3D CAD-based vision system by using sparse structured light images is presented in this paper. By using an eye-on-hand structured light sensor, sparse range images are collected from several different positions based upon the requirements in the process of object recognition and localization. In order to recognize object with minimal sensing activities, a novel concept of maximum expected rate of hypothesis reduction (MERHR) for sensor planning is proposed its implementational procedure is carefully designed. By pre-computing the sensor's optimal configuration and storing it into a lookup table, the heavy computation burden for sensor planning during on-line recognition phase can be avoided
Published in:
Robotics and Automation, 1996. Proceedings., 1996 IEEE International Conference on
(Volume:4
)
Date of Conference: 22-28 Apr 1996
- Page(s):
- 3484 - 3489 vol.4
- Meeting Date :
- 22 Apr 1996-28 Apr 1996
- ISSN :
- 1050-4729
- Print ISBN:
- 0-7803-2988-0
- INSPEC Accession Number:
- 5335637
- Conference Location :
- Minneapolis, MN
- Digital Object Identifier :
- 10.1109/ROBOT.1996.509243
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
