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title: Lecture - Real World Reconstruction
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**Reading** Ma 2004:Ch 11
# Overview
1. [Feature Detection](#fd)
2. [Feature Correspondence](#fc)
3. [Projective Reconstruction](#pr)
3. [Euclidean Reconstruction](#er)
# Feature Detection {fd}
# Feature Detection {#fd}
+ Harris Detector
+ Tiling
+ Separation
+ Sorting by strength
# Feature Correspondence {fc}
# 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- the textbook is outdated on this point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}
# Projective Reconstruction {#pr}
# Euclidean Reconstruction {er}
# Euclidean Reconstruction {#er}