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Statistical Angular Error-Based Triangulation for Efficient and Accurate Multi-View Scene Reconstruction . Shawn Recker, Mauricio Hess-Flores, and Kenneth I. Joy. University of California, Davis, USA, { strecker , mhessf , joy}@ ucdavis.edu.
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Statistical Angular Error-Based Triangulation for Efficient and Accurate Multi-View Scene Reconstruction Shawn Recker, Mauricio Hess-Flores, and Kenneth I. Joy University of California, Davis, USA, {strecker, mhessf, joy}@ucdavis.edu IEEE Workshop on the Applications of Computer Vision (WACV) 2013 Clearwater Beach, Florida Jan 16-18 2013
Introduction Intersection Point C1 C2 ‘dinosaur’ dataset images from [1].
Cost Function Evaluation Position Camera center Ci
Statistical Sampling Method • Cochran’s Formula [2]
Bibilography • This work was supported in part by the Department of Energy, National Nuclear Security Agency through Contract No. DE-GG52-09NA29355. This work was performed in part under the auspices of the U.S Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. • [1] Oxford Visual Geometry Group. Multi-view and Oxford Colleges building reconstruction. http://www.robots.ox.ac.uk/˜vgg/, August 2009. • [2] W. G. Cochran. Sampling Techniques, 3rd Edition. John Wiley, 1977