Changil Kim
Online view sampling for estimating depth from light fields
Kim, Changil; Subr, Kartic; Mitchell, Kenny; Sorkine-Hornung, Alexander; Gross, Markus
Authors
Kartic Subr
Prof Kenny Mitchell K.Mitchell2@napier.ac.uk
Professor
Alexander Sorkine-Hornung
Markus Gross
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.
Citation
Kim, C., Subr, K., Mitchell, K., Sorkine-Hornung, A., & Gross, M. (2015, September). Online view sampling for estimating depth from light fields. Presented at 2015 IEEE International Conference on Image Processing (ICIP)
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2015 IEEE International Conference on Image Processing (ICIP) |
Start Date | Sep 27, 2015 |
End Date | Sep 30, 2015 |
Acceptance Date | Jul 7, 2015 |
Online Publication Date | Dec 10, 2015 |
Publication Date | Dec 10, 2015 |
Deposit Date | Dec 12, 2017 |
Publicly Available Date | Dec 14, 2017 |
Publisher | Institute of Electrical and Electronics Engineers |
Book Title | 2015 IEEE International Conference on Image Processing (ICIP) |
Chapter Number | n/a |
ISBN | 978-1-4799-8339-1 |
DOI | https://doi.org/10.1109/icip.2015.7350981 |
Keywords | Light fields, geometric information, image sampling, image reconstruction, |
Public URL | http://researchrepository.napier.ac.uk/Output/951612 |
Contract Date | Dec 12, 2017 |
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