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Computer-Vision-Problems

  1. Introduction to Python and OpenCV
    • Understand the Virtual Environment
    • Basics of Image Processing
  2. Feature Detection (Corners)
    • Edge, corner detection using Harris Corner Detection
  3. Panorama Stitching (Panorama)
    • Feature Detection (ORB Detector)
    • Feature Matching (BFMatcher)
    • Homography
    • RANSAC
    • Stitching ---> (has some errors)
  4. Structure from Motion (3D point cloud)
    • Compute relative transformation (Rotation and Translation) using Essential Matrix.
    • Compute 3D scene coordinates (3D point cloud) from a sequence of frames. (Triangulation - Projection Matrix used) (INCOMPLETE)
  5. Stereo Vision (Depth)
    • Compute disparity maps from two images. (INCOMPLETE)
  6. Optical Flow (Motion)
    • Compute Optical Flow using the Lucas Kanade Algorithm.