Cart (Loading....) | Create Account
Close category search window
 

Knowledge-based view control of a neural 3-D object recognition system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Buker, U. ; Dept. of Electr. Eng., Paderborn Univ., Germany ; Hartmann, G.

The recognition of 3D objects is one of the most challenging goals in computer vision. In this paper we present a robot vision system that analyzes its environment by active vision techniques. Therefore, the system is gathering information about an object in the scene by taking multiple views. It is designed as a hybrid system that brings together the advantages of neural networks and knowledge based strategies. While the analysis of a single view is done by artificial neural networks, a knowledge based control determines viewpoints from which the scene should be analyzed in detail. Semantic networks are used to model 3D objects by holistically recognizable computer structures and by its basic views, thus, merging a part/part-of-hierarchy and an aspect-hierarchy. The system is implemented in conjunction with a six degrees of freedom robot and a hand-mounted camera

Published in:

Pattern Recognition, 1996., Proceedings of the 13th International Conference on  (Volume:4 )

Date of Conference:

25-29 Aug 1996

Need Help?


IEEE Advancing Technology for Humanity 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 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.