Paper Info
Title
Shearlet-Based Light Field Reconstruction of Scenes with Non-Lambertian Properties
Abstract
Light fields representing Lambertian scenes are characterized by specific epipolar plane images, which support in Fourier domain is limited by the minimum and maximum scene depth. This feature of the light field has been taken into account when designing the shearlet-based light field reconstruction algorithm. However, this feature does not hold for the case of non-Lambertian scenes. Therefore, the original algorithm performs sub-optimally for such scenes. In this work, we extend the shearlet based reconstruction algorithm to enable light fields reconstruction for scenes composed of surfaces with non-Lambertian properties. Instead of assuming Lambertianity and the corresponding Fourier-domain support, we estimate the real Fourier-domain support of the given light field of a non-Lambertian scene. Based on the estimated support, we adapt the Shearlet frame to properly span that support. The results demonstrate that the new method yields a faithful reconstruction of densely sampled light fields of non-Lambertian scenes from a small number of captured views.
Year
DOI
Venue
2019
10.1109/EUVIP47703.2019.8946124
2019 8th European Workshop on Visual Information Processing (EUVIP)
Keywords
Field
DocType
light field,view-reconstruction,optical flow,non-Lambertian surface,shearlet transform
Computer vision,Epipolar geometry,Computer science,Shearlet transform,Shearlet,Light field,Fourier transform,Reconstruction algorithm,Artificial intelligence,Optical flow
Conference
ISSN
ISBN
Citations 
2164-974X
978-1-7281-4497-9
0
PageRank 
References 
Authors
0.34
11
3
Name
Order
Citations
PageRank
Sergio Moreschini100.34
Robert Bregovic214818.84
Atanas P. Gotchev322338.55