28 November 2017 Heuristic method based on voting for extrinsic orientation through image epipolarization
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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.
© 2017 SPIE and IS&T
Santiago Martín, Santiago Martín, José Luis Lerma, José Luis Lerma, Hodei Uzkeda, 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 . Submission: Received: 17 February 2017; Accepted: 7 November 2017
Received: 17 February 2017; Accepted: 7 November 2017; Published: 28 November 2017

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