---
title: Lecture - Real World Reconstruction
---

**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}

+ 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    - the textbook is outdated on this point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}