Real-world stereo-analysis evaluation

Abstract

Evaluation of stereo-analysis algorithms is usually done by analysing the performance of stereo matchers on data sets with available ground truth. The trade-off between precise results, obtained with this sort of evaluation, and the limited amount (in both, quantity and diversity) of data sets, needs to be considered if the algorithms are required to analyse real-world environments. This chapter discusses a technique to objectively evaluate the performance of stereo-analysis algorithms using real-world image sequences. The lack of ground truth is tackled by incorporating an extra camera into a multi-view stereo camera system. The relatively simple hardware set-up of the proposed technique can easily be reproduced for specific applications. © 2012 Springer-Verlag.