By Topic

A study on assembly part recognition using part-based superquadric model

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
$33 $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

3 Author(s)
Sun-Ho Lee ; Dept. of Electron. Eng., Chun-Ang Univ., Seoul, South Korea ; Hyun-Ki Hong ; Jong-Soo Choi

This paper presents a new volumetric approach to 3D object recognition by using PBSM (Part-Based Superquadric Model). The assembly part object usually can be constructed with the set of volumetric primitives and the relationships of them. We describe volumetric properties of the model object with superquadric parameters. In addition, our model base has the relationships of volumetric primitives as well as the surface information: the surface type, the junction type between neighboring surfaces. These surface attributes and relationships of volumetrics are effectively used in recognition process. Our integrated method is robust to recognition of the identity, position, and orientation of randomly oriented assembly parts. Furthermore, we can reduce the effects of self-occlusion and non-linear shape changes according to the viewpoint

Published in:

Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on  (Volume:4 )

Date of Conference: