Machine learning3D reconstruction
Stereo Matching
Stereo matching is a computer vision technique for recovering depth information by finding corresponding points between a pair of stereo images (taken from slightly different viewpoints). By locating the same scene feature in both images and measuring the disparity (horizontal shift), stereo matching reconstructs 3D structure using the principles of triangulation.
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Sources
- Scharstein, D., & Szeliski, R. (2002). A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision, 47(1), 7–42. DOI: 10.1023/A:1014573219948 ↗
- Kanade, T., Okutomi, M., Nakano, T., et al. (1996). A stereo matching algorithm with an adaptive window. Image and Vision Computing, 12(10), 605–618. DOI: 10.1016/0262-8856(94)90018-3 ↗