Multiview stereo object reconstruction with a one-line search method

Jian Zhang; Graziano Chesi

doi:10.1117/1.JEI.22.2.023019

3 June 2013 Multiview stereo object reconstruction with a one-line search method

Jian Zhang, Graziano Chesi

Author Affiliations +

Journal of Electronic Imaging, Vol. 22, Issue 2, 023019 (June 2013). https://doi.org/10.1117/1.JEI.22.2.023019

Abstract

We propse the one-line search (OLS) method for estimating the three-dimensional (3-D) model of an object from a sequence of images where the object is visible from different points of view. The OLS method estimates each 3-D point through a OLS along the ray defined by the camera center and its two-dimensional (2-D) image projection in one view by maximizing a photo-consistency index built with the other views. The key advantage of the proposed method is that only one variable is introduced for estimating the sought 3-D point, whereas approaches for multiview stereo typically exploit multiple epipolar lines and hence require multiple variables. Results with both synthetic and real data illustrate and validate the proposed method.

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Jian Zhang and Graziano Chesi "Multiview stereo object reconstruction with a one-line search method," Journal of Electronic Imaging 22(2), 023019 (3 June 2013). https://doi.org/10.1117/1.JEI.22.2.023019

Published: 3 June 2013

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