Performance Evaluation of Local Gabor Wavelet-based Disparity Map Computation

Stereo correspondence aims to find the matching pixels which are from the same real world point from the stereo images. It finds applications in 3D reconstruction, video surveillance and object recognition. In the last few decades, a lot of work is done in disparity map estimation which is either in the matching cost computation i.e., new features are proposed for matching purpose or in cost aggregation. In addition to this, progress is also done in the disparity refinement step also. The maximum performance of the estimated disparity map depends on fine tuning the various parameter values used. In this paper, we evaluate the impact of the various parameters of the proposed method on the estimated disparity map. The proposed method uses Gabor wavelet-based feature for matching cost computation. Experimental results show the impact of various parameters in the estimated disparity map. Error is evaluated in three regions of the disparity map namely - non-occluded, all and discontinuous regions.