Image processing and data analysis: the multiscale approach
Image processing and data analysis: the multiscale approach
Gaussian Scale-Space Theory
View synthesis using stereo vision
View synthesis using stereo vision
An improved variogram analysis of the maximum expected disparity in stereo images
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Machine efficient adaptive image matching based on the nonparametric transformations
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
Adaptive window growing technique for efficient image matching
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
| Hi-index | 0.00 |
Estimation of the highest disparity value is very important for proper operation of any stereo matching algorithm. Choice of a too big or too small disparity range may cause severe errors in an output disparity map. A guess of this parameter by human is the method which is used very often during experiments, however it is not suitable in real time or autonomous vision systems. In the same way, a usage of the constant disparity range gives often poor results. The paper describes a innovative method of the automatic estimation of a maximum disparity for the real time stereo imaging systems. After short review of the most popular methods of the maximum disparity estimation, we present our method based on the variogram analysis. Finally the experimental results for the real images are also presented.