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) 2013Clearwater Beach, Florida

Jan 16-18 2013

2

Introduction

C1 C2

Intersection Point

‘dinosaur’ dataset images from [1].

3

Cost Function

Camera center Ci

Evaluation Position

4

Statistical Sampling Method

• Cochran’s Formula [2]

5

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