Paper Info
Title
Efficient Ambiguity Resolution in Polarimetric Multi-View Stereo.
Abstract
Polarimetric multi-view stereo (PMS) reconstructs the dense 3D surface of a feature sparse object by combining the photometric information from polarization with the epipolar constraints from multiple views. In this paper, we propose a new approach based on the recent advances in graph signal processing (GSP) for efficient ambiguity resolution in PMS. A smooth graph which effectively captures the relational structure of the azimuth values is constructed using the estimated phase angle. By visualizing the actual azimuth available at the reliable depth points (corresponding to the feature-rich region) as sampled graph signal, the azimuth at the remaining feature-limited region is estimated. Unlike the existing ambiguity resolution scheme in PMS which resolves only the pi/2 -ambiguity, the proposed approach resolves both the pi and pi/2 -ambiguity. Simulation results are presented, which shows that in addition to resolving both the ambiguities, the proposed GSP based method performs significantly better in resolving the pi/2 -ambiguity than the existing approach.
Year
DOI
Venue
2018
10.23919/EUSIPCO.2018.8553559
European Signal Processing Conference
Keywords
Field
DocType
Shape from Polarization,Polarimetric multi-view stereo,azimuth ambiguity,Graph signal processing
Surface reconstruction,Polarimetry,Epipolar geometry,Computer science,Algorithm,Polarization (waves),Photometry (optics),Azimuth,Symmetric matrix,Ambiguity resolution
Conference
ISSN
Citations 
PageRank 
2076-1465
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Achanna Anil Kumar1245.39
N. Narendra262.15
P. Balamuralidhar3117.00
M. Girish Chandra411224.49