Heuristic method based on voting for extrinsic orientation through image epipolarization

Santiago Martín; José Luis Lerma; Hodei Uzkeda

doi:10.1117/1.JEI.26.6.063020

28 November 2017 Heuristic method based on voting for extrinsic orientation through image epipolarization

Santiago Martín, José Luis Lerma, Hodei Uzkeda

Author Affiliations +

Funded by: Ministerio de Economía y Competitividad (Ministry of Economy and Competitiveness)

Journal of Electronic Imaging, Vol. 26, Issue 6, 063020 (November 2017). https://doi.org/10.1117/1.JEI.26.6.063020

Abstract

Traditionally, the stereo-pair rectification, also known as epipolarization problem, (i.e., the projection of both images onto a common image plane) is solved once both intrinsic (interior) and extrinsic (exterior) orientation parameters are known. A heuristic method is proposed to solve both the extrinsic orientation problem and the epipolarization problem in just one single step. The algorithm uses the main property of a coplanar stereopair as fitness criteria: null vertical parallax between corresponding points to achieve the best stereopair. Using an iterative approach, each pair of corresponding points will vote for a rotation axis that may reduce vertical parallax. The votes will be weighted, the rotation applied, and an iteration will be carried out, until the vertical parallax residual error is below a threshold. The algorithm performance and accuracy are checked using both simulated and real case examples. In addition, its results are compared with those obtained using a traditional nonlinear least-squares adjustment based on the coplanarity condition. The heuristic methodology is robust, fast, and yields optimal results.

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Santiago Martín, José Luis Lerma, and Hodei Uzkeda "Heuristic method based on voting for extrinsic orientation through image epipolarization," Journal of Electronic Imaging 26(6), 063020 (28 November 2017). https://doi.org/10.1117/1.JEI.26.6.063020

Received: 17 February 2017; Accepted: 7 November 2017; Published: 28 November 2017

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