Quantitative and Qualitative Comparison of Some Area and Feature-based Stereo Algorithms
- Olivier Faugeras ,
- P. Fua ,
- B. Hotz ,
- R. Ma ,
- L. Robert ,
- M. Thonnat ,
- Zhengyou Zhang
in Wolfgang Forstner and Stephan Ruwiedel, editors, Robust Computer Vision: Quality of Vision Algorithms, Wichmann,Karlsruhe, Germany
1992
Evaluating the performance of stereo algorithms, both in terms of robustness and precision, is of critical importance as they become more amenable to practical applications. It is, however, a hard task because no unified testbed exists. In this paper, we use the algorithms that have been developed at INRIA in recent years to propose a number of methods that can be used to achieve this task and evaluate the appropriateness of algorithms for given applications.