ICIP 2015
Geometric information such as depth obtained from light fields finds more applications recently. Where and how to sample images to populate a light field is an important problem to maximize the usability of information gathered for depth reconstruction. We propose a simple analysis model for view sampling and an adaptive, online sampling algorithm tailored to light field depth reconstruction. Our model is based on the trade-off between visibility and depth resolvability for varying sampling locations, and seeks the optimal locations that best balance the two conflicting criteria.
@inproceedings{Kim2015online,
author = {Changil Kim and Kartic Subr and Kenny Mitchell and Alexander Sorkine-Hornung and Markus Gross},
title = {Online View Sampling for Estimating Depth from Light Fields},
booktitle = {Proceedings of IEEE International Conference on Image Processing (ICIP)},
year = {2015},
pages = {1155--1159},
}