Revision 7fd6b40a5610bcee07e9acab3f0a665a21976f8c (click the page title to view the current version)
Changes from 7fd6b40a5610bcee07e9acab3f0a665a21976f8c to b11ae1d1ba05bc7fddead9842c5f70137186ede4
---
title: Lecture - Real World Reconstruction
---
**Reading** Ma 2004:Ch 11
# Overview
1. [Feature Detection](#fd)
2. [Feature Correspondence]](#fc)
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- the textbook is outdated on this point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}