Paper Info
Title
Closed form solution for Rotation Estimation using Photometric Spherical Moments
Abstract
This paper presents new schemes to estimate 3D rotation from spherical images. Unlike existing approaches, spherical moment properties are exploited to obtain a closed form solution without iteratively mimimizing a cost function. Actually, three methods using spherical moments are proposed: two of them can be classified as dense approaches, while the third one is hybrid combining geometrical features with dense ones. Experimental results using both synthetic images and acquired images using catadioptric cameras with different scenarios show the effectiveness of our approach.
Year
DOI
Venue
2018
10.1109/IROS.2018.8593920
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Keywords
Field
DocType
3D rotation estimation,geometrical features,catadioptric camera,synthetic images,cost function,spherical moment properties,spherical images,photometric spherical moments
Computer vision,Computer science,Photometry (optics),Closed-form expression,Artificial intelligence,Visual servoing,Motion estimation,Cross-validation,Catadioptric system
Conference
ISSN
ISBN
Citations 
2153-0858
978-1-5386-8095-7
0
PageRank 
References 
Authors
0.34
22
3
Name
Order
Citations
PageRank
Hicham Hadj-abdelkader17210.22
Omar Tahri212114.56
Houssem-Eddine Benseddik300.68