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TitleFury of the Swarm: Efficient and Very Accurate Triangulation for Multi-view Scene Reconstruction (In Proceedings)
inComputer Vision Workshops (ICCVW), 2013 IEEE International Conference on
Author(s) Shawn Recker, Mauricio Hess-Flores, Kenneth I. Joy
Keyword(s)cameras;feature extraction;image reconstruction;mesh generation;object tracking;optimisation;N-view triangulation;angular error-based L1 cost function;camera configurations;feature tracking errors;ground-truth;magnitude performance;multiview scene reconst
Year December 2013
LocationSydney NSW
DateDecember 2-8 2013
PublisherIEEE
URLhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6755958&queryText%3DFury+of+the+Swarm
Pages652-659
BibTeX
Abstract This paper presents a novel framework for practical and accurate N-view triangulation of scene points. The algorithm is based on applying swarm optimization inside a robustly-computed bounding box, using an angular error-based L1 cost function which is more robust to outliers and less susceptible to local minima than cost functions such as L2 on reprojection error. Extensive testing on synthetic data with ground-truth has determined an accurate position over 99.9% of the time, on thousands of camera configurations with varying degrees of feature tracking errors. Opposed to existing polynomial methods developed for a small number of cameras, the proposed algorithm is at best linear in the number of cameras and does not suffer from inaccuracies inherent in solving high-order polynomials or Grobner bases. In the specific case of three views, there is a two to three order of magnitude performance increase with respect to such methods. Results are provided to highlight performance for arbitrary camera configurations, numbers of cameras and under noise, which has not been previously achieved in the triangulation literature. Results on real data also prove that reprojection error is improved with respect to other methods.