Added chapters overview file to CV2 notes

Computer Vision II/Lecture notes/00 - Chapters Overview.md

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+# About these notes
+These notes are my lecture notes on the Computer Vision II - Multiple View Geometry course held in the summer term 2021 by Prof. Daniel Cremers/Prof. Florian Bernard. The notes are based on the course slides [^1]. Images are taken from the course slides and related research papers which are referenced in the notes.
+
+The notes are written in [Obsidian markdown](https://obsidian.md/) and are best viewed in Obsidian.
+
+[^1]: Daniel Cremers - Multiple View Geometry, lecture slides, summer term 2021
+
+# Overview of all chapters
+The files are structured by lecture, not by chapter. Here is an overview which chapters are covered in which lectures:
+
+##### [[01 - Linear Algebra basics and Matrix groups#Chapter 1 - Mathematical Background Linear Algebra|Chapter 1 - Mathematical Background: Linear Algebra]]
+Lectures 1, 2.
+
+
+##### [[02 - Eigendecomposition, (skew-)symmetric matrices and SVD#Chapter 2 - Representing a Moving Scene|Chapter 2 - Representing a Moving Scene]]
+Lectures 2, 3, 4.
+
+##### [[05 - Perspective projection, Intrinsic parameter matrix#Chapter 3 - Perspective Projection|Chapter 3 - Perspective Projection]]
+Lecture 5.
+
+
+
+##### [[06 - Point correspondence estimation - introduction#Chapter 4 - Estimating Point Correspondence|Chapter 4 - Estimating Point Correspondence]]
+Lectures 6, 7.
+
+##### [[08 - Two views I - Epipolar Constraint, Essential Matrices, 8-Point Algorithm#Chapter 5 - Reconstruction from Two Views|Chapter 5 - Reconstruction from Two Views]]
+
+Lectures 8, 9, 10.
+
+##### [[10 - Uncalibrated Camera; Multi-View Reconstruction I#Chapter 6 - Reconstruction from Multiple Views|Chapter 6 - Reconstruction from Multiple Views]]
+
+Lectures 10, 11, 12a.
+
+##### [[12b - Noisy inputs, Bundle Adjustment, Least Squares#Chapter 7 - Bundle Adjustment Non-Linear Optimization|Chapter 7 - Bundle Adjustment & Non-Linear Optimization]]
+
+Lectures 12b, 12c.
+
+##### [[12c - Optimization Algorithms, Direct Visual SLAM#Chapter 8 - Direct Approaches to Visual SLAM|Chapter 8 - Direct Approaches to Visual SLAM]]
+
+Lectures 12c, 12d.
+
+##### [[13 - Variational Methods Intro#Chapter 9 - Introduction to Variational Methods|Chapter 9 - Introduction to Variational Methods]]
+
+Lecture 13.
+
+##### [[14 - Variational Multiview Reconstruction#Chapter 10 - Variational Multiview Reconstruction|Chapter 10 - Variational Multiview Reconstruction]]
+
+Lecture 14.