Phase Based Disparity Estimation Using Adaptive Structured Light and Dual-Tree Complex Wavelet
In this paper, we propose a phase-based approach to estimate disparity between stereo images using the Dual-Tree Complex Wavelet transform and adaptive structured light. Firstly, a random noise adaptive structured light pattern is projected onto objects and two cameras capture stereo images. The adaptive colors are acquired using principle component analysis in the RGB color space of the image of the scene under ambient light to maximize the energy of the structured light and meanwhile minimize the energy of other noise factors. A Dual tree Complex Wavelet transform is then applied on the original three RGB channels of the scene under adaptive structured light and a fourth channel which mainly contains projected random noise generated using inverse principle component analysis. Finally the disparity map between the stereo images is generated by locating the minimum phase differences between left and right complex wavelet coefficients. Our experimental results show the proposed approach can generate high quality disparity maps.