Tayyabah-Rehman

Tayyabah-Rehman

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Optical-Flow-Estimation Tayyabah-Rehman/Optical-Flow-Estimation Jupyter Notebook

A comparative study of optical flow estimation methods: Lucas-Kanade (sparse) vs RAFT (dense deep learning). Lucas-Kanade tracks 88 feature points with ~1.52px flow. RAFT computes 230K per-pixel vectors capturing complex motions, occlusions, and subtle movements.

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