Title
3-D object representation from multi-view range data applying deformable superquadrics
Abstract
This paper presents a new framework for recovering superquadrics with global deformations from multi-view real range data. The framework aims at improving confidence and accuracy of recovered models by utilizing multiview information, and consists of the initial superquadric model recovery, view registration, view integration, and final model recovery from integrated data. A quadrant analysis technique is proposed to aid the recovery of bending superquadrics. A modified range data registration method based on recovered superquadrics is also proposed to handle tapered superquadrics. Experimental results indicate the proposed framework of multi-view representation significantly improved the accuracy and confidence of recovered superquadrics compared with existing recovery strategies which rely on single-view range images.
Year
DOI
Venue
2002
10.1109/ICPR.2002.1048013
Pattern Recognition, 2002. Proceedings. 16th International Conference
Keywords
Field
DocType
image reconstruction,image registration,image representation,object recognition,bending superquadrics,data registration,global deformations,multi-view real range data,object representation,recovered models,superquadrics,view integration,view registration
Iterative reconstruction,Computer vision,Data visualization,Pattern recognition,Computer science,Superquadrics,Reverse engineering,Artificial intelligence,Information engineering,Computer graphics,Image registration,Cognitive neuroscience of visual object recognition
Conference
Volume
ISSN
ISBN
3
1051-4651
0-7695-1695-X
Citations 
PageRank 
References 
2
0.41
5
Authors
4
Name
Order
Citations
PageRank
Yongping Zhang119131.82
J. Paik21448.83
Andreas Koschan371652.65
Mongi A. Abidi41372104.38