Online view sampling for estimating depth from light fields

C. Kim, K. Subr, K. Mitchell, A. Sorkine-Hornung, M. Gross

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationImage Processing (ICIP), 2015 IEEE International Conference on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1155-1159
Number of pages5
ISBN (Electronic)978-1-4799-8339-1
ISBN (Print)978-1-4799-8338-4
DOIs
Publication statusPublished - Sep 2015

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