Automatic parameter estimation based on the degree of texture overlapping in accurate cost-aggregation stereo matching for three-dimensional video display
Nan Guo, Xinzhu Sang, Duo Chen, Peng Wang, Songlin Xie, Xunbo Yu, Binbin Yan, Chongxiu Yu · Applied Optics · 2015
Stereo matching plays a significant role in three-dimensional (3D) display applications. The estimation of the regularization parameter, which strikes a balance between the spatial distance and color difference, is essential for successfully solving ill-posed image-matching problems. Based on the cost-filtering algorithm, a degree of texture overlapping is designed to simultaneously estimate the optimal regularization parameter and achieve accurate matching results. The experimental results demonstrate that the proposed model can estimate the smoothing parameter well, and the accuracy is comparable to other methods with manual adjustment. The application of the presented stereo-matching method in the 32-view 3D display is demonstrated.