By Topic

Recognition and reconstruction of 3D objects using model-based perceptual grouping

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

3 Author(s)
In Kyu Park ; Sch. of Electr. Eng., Seoul Nat. Univ., South Korea ; Kyoung Mu Lee ; Sang Uk Lee

We address a new algorithm for recognition and reconstruction of 3D polyhedral objects, based on perceptual grouping and graph search technique. Perceptual grouping is performed in a model-based framework, in which decision tree classifier is employed for learning and retrieving geometric information of the 3D model object. On the other hand, in order to extract the polygonal patch structure, initial grouping result is represented by a Gestalt graph. Polygonal patch hypotheses are then generated by graph search and verified by the consistency test with the model. In the experiments, it is shown that the model-based grouping reduces the number of the generated hypotheses efficiently, and furthermore, robust recognition and reconstruction are achieved by means of the graph search technique

Published in:

Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:1 )

Date of Conference: