Revision 7fd6b40a5610bcee07e9acab3f0a665a21976f8c (click the page title to view the current version)

Lecture - Real World Reconstruction

Reading Ma 2004:Ch 11

Overview

  1. Feature Detection
  2. [Feature Correspondence]](#fc)
  3. Projective Reconstruction
  4. Euclidean Reconstruction

Feature Detection {fd}

  • Harris Detector
  • Tiling
  • Separation
  • Sorting by strength

Feature Correspondence {fc}

  • Small Baseline (motion video)
  • Moderate Baseline (snapshots)
  • Wide Baseline -> use SIFT or similar methods
    • the textbook is outdated on this point

Projective Reconstruction {pr}

Euclidean Reconstruction {er}