Disparity Map Estimation usisng Local Gabor Wavelet under Radiometric Changes

Stereo correspondence refers to the problem of finding the matching pixels of a 3D world point in the stereo image pairs captured at different viewpoint using two cameras. Subsequently, the obtained disparity map finds application in object detection, augmented reality and robotics. In recent years, a large number of algorithms have been developed to compute accurate disparity map. Many existing disparity map estimation methods are based on the brightness constancy assumption. Unfortunately, any lighting variations within the scene violate this assumption. In this paper, a disparity map estimation method using Gabor wavelet is proposed. The performance of the proposed method is appraised under varying synthetic illumination change and real radiometric variations. Experimental results under non-ideal radiometric conditions illustrate that the proposed method respond to the changes in the illumination and radiometric variations.