Paper
13 April 2018 The method for homography estimation between two planes based on lines and points
Author Affiliations +
Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 106961G (2018) https://doi.org/10.1117/12.2310111
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria
Abstract
The paper considers the problem of estimating a transform connecting two images of one plane object. The method based on RANSAC is proposed for calculating the parameters of projective transform which uses points and lines correspondences simultaneously. A series of experiments was performed on synthesized data. Presented results show that the algorithm convergence rate is significantly higher when actual lines are used instead of points of lines intersection. When using both lines and feature points it is shown that the convergence rate does not depend on the ratio between lines and feature points in the input dataset.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julia Shemiakina, Alexander Zhukovsky, and Dmitry Nikolaev "The method for homography estimation between two planes based on lines and points", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106961G (13 April 2018); https://doi.org/10.1117/12.2310111
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Cited by 3 scholarly publications.
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KEYWORDS
Detection and tracking algorithms

3D modeling

Estimation theory

Algorithms

Analytical research

Basic research

Computer science

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