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Experimenting with various computer vision techniques—including K-means clustering, object detection using RCNN, SIFT, HOG, DoG, edge detection, ORB, and Harris corner detector—to observe, evaluate, and compare their results across different tasks and datasets

  • Updated Oct 6, 2025
  • Jupyter Notebook

This repository implements monocular visual odometry using feature matching and essential matrix–based motion estimation. It recovers camera trajectory from image sequences using 2D-2D correspondences and supports trajectory reconstruction with optional homogeneous transformations.

  • Updated Aug 5, 2025
  • Jupyter Notebook

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