3D Reconstruction Based on a Hybrid Disparity Estimation Algorithm

This paper presents a hybrid disparity estimation algorithm which combines the pixel-based and region-based approaches. In the pixel-based approach, we use the Gabor transform and variational refinement, and the resulting disparities are combined with region information obtained from image segmentation so that a region matching scheme can be further applied. It will be shown with 3D reconstruction that our hybrid algorithm can give disparities with very high quality, in which some standard problems in disparity estimation can be solved.