Computer Vision for Visual Effects Lectures Spring 2014

Computer Vision for Visual Effects Lectures Spring 2014

Rich Radke via YouTube Direct link

CVFX Lecture 14: Epipolar geometry

14 of 26

14 of 26

CVFX Lecture 14: Epipolar geometry

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Classroom Contents

Computer Vision for Visual Effects Lectures Spring 2014

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  1. 1 CVFX Lecture 1: Overview of Computer Vision and Visual Effects
  2. 2 CVFX Lecture 2: Bluescreen and Bayesian matting
  3. 3 CVFX Lecture 3: Closed-form matting
  4. 4 CVFX Lecture 4: Markov Random Field (MRF) and Random Walk Matting
  5. 5 CVFX Lecture 5: Graph cut segmentation, video matting, and matting extensions
  6. 6 CVFX Lecture 6: Multiresolution blending and Poisson image editing
  7. 7 CVFX Lecture 7: Photomontage and Image Inpainting
  8. 8 CVFX Lecture 8: Image Retargeting and Recompositing
  9. 9 CVFX Lecture 9: Feature Detectors
  10. 10 CVFX Lecture 10: Feature descriptors
  11. 11 CVFX Lecture 11: Feature evaluation and use
  12. 12 CVFX Lecture 12: Parametric Transformations and Scattered Data Interpolation
  13. 13 CVFX Lecture 13: Optical flow
  14. 14 CVFX Lecture 14: Epipolar geometry
  15. 15 CVFX Lecture 15: Stereo correspondence
  16. 16 CVFX Lecture 16: Video matching, morphing, and view synthesis
  17. 17 CVFX Lecture 17: Image formation and single-camera calibration
  18. 18 CVFX Lecture 18: Stereo rig calibration and projective reconstruction
  19. 19 CVFX Lecture 19: Euclidean reconstruction and bundle adjustment
  20. 20 CVFX Lecture 20: Motion capture setup and forward kinematics
  21. 21 CVFX Lecture 21: Inverse kinematics and motion editing
  22. 22 CVFX Lecture 22: Facial and markerless motion capture
  23. 23 CVFX Lecture 23: LiDAR and time-of-flight sensing
  24. 24 CVFX Lecture 24: Structured light scanning
  25. 25 CVFX Lecture 25: Multiview stereo
  26. 26 CVFX Lecture 26: 3D features and registration

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