filename     : Kim15a.pdf
entry        : inproceedings
conference   : IEEE International Conference on Image Processing (ICIP), Québec City, Canada, 27-30 September, 2015
pages        : 1155-1159
year         : 2015
month        : September
title        : Online View Sampling for Estimating Depth from Light Fields
subtitle     :
author       : Changil Kim, Kartic Subr, Kenny Mitchell, Alexander Sorkine-Hornung, Markus Gross
booktitle    : Proceedings of IEEE International Conference on Image Processing
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editor       :
publisher    : IEEE
publ.place   :
volume       :
issue        :
language     : English
keywords     : light fields, depth estimation, view sampling
abstract     : 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.