Stereo Vision: Disparity and Depth Mapping
This project processes stereo image pairs to generate high-quality disparity and depth maps, allowing accurate reconstruction of 3D scene geometry.
It employs techniques like feature matching, epipolar geometry, and StereoSGBM to compute disparity and utilizes triangulation formulas to calculate depth.
The project enhances visualization by applying heatmaps and grayscale representations, creating visually appealing disparity and depth maps for detailed spatial analysis.
