Focus model for metric depth estimation in standard plenoptic cameras

Said Pertuz, Edith Pulido-Herrera, Joni-Kristian Kämäräinen

    Research output: Contribution to journalArticleScientificpeer-review

    23 Citations (Scopus)

    Abstract

    In recent years, a lot of efforts have been devoted to the problem of depth estimation from lightfield images captured by standard plenoptic cameras. However, most of the metric depth estimation methods in the state-of-the-art leverage pixel disparity only. In this paper, we tackle the problem of focus-based metric depth estimation in standard plenoptic cameras. For this purpose we propose a closed-form model that relates the refocusing parameter with the focus distance of a plenoptic camera in order to allow for metric depth estimation. Based on the proposed model, we develop a calibration procedure that allows finding the parameters of the model. Using measurements of a time-of-flight sensor as ground-truth, experimental validation in a distance range of 0.2–1.6 m shows that focus-based depth estimation is feasible with a root-mean-squared error of less than 5 cm.

    Original languageEnglish
    Pages (from-to)38-47
    Number of pages10
    JournalISPRS Journal of Photogrammetry and Remote Sensing
    Volume144
    DOIs
    Publication statusPublished - 1 Oct 2018
    Publication typeA1 Journal article-refereed

    Keywords

    • Calibration
    • Depth estimation
    • Focus
    • Lightfield
    • Plenoptic camera

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Atomic and Molecular Physics, and Optics
    • Engineering (miscellaneous)
    • Computer Science Applications
    • Computers in Earth Sciences

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