Comparative analysis of stereo matching techniques for disparity map reconstruction, including traditional block matching, OpenCV StereoSGBM, and PSMNet.
This project uses low-cost stereo cameras for 3D scene perception by generating disparity maps and applying clustering for segmentation. It also constructs voxel grids for visualizing spatial structure and object segmentation.
This project implements a stereo vision system using the StereoSGBM algorithm to generate accurate RGB-depth images from stereo image pairs, optimizing for both accuracy and computational efficiency.
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