National Cheng Kung University－Department of Electrical Engineering
－Pau-Choo Chung Professor－Courses

Course Name	Multiple View Geometry in Computer Vision
Credits	3
Period	2011 Fall
Objects	A basic problem in computer vision is to reconstruct a real world scene given several images of it. The goal of this course is to provide students with both a good theoretical and intuitive understanding of the intricate relations between multiple views of a scene, and to allow them to use these concepts to compute properties of scene and camera from real world images.  The course objectives are 1. To understand the geometric relations between multiple views of scenes. 2. To understand the general principles of parameter estimation. 3. To be able to compute scene and camera properties from real world images using state-of-the-art algorithms.
Schedule	Introduction Projection Geometry and Transformations of 2D Projection Geometry and Transformations of 3D Estimation 2D Projective Transformations Algorithm Evaluation and Error Analysis Camera Models Computation of the Camera Matrix P More Single View Geometry Epipolar Geometry and the Fundamental Matrix 3D Reconstruction of Cameras and Structure Computation of the Fundamental Matrix F Structure Computation
References	Computer Vision Three-Dimensional Data from Images by Reinhard Klette, Karsten Schlüns, Andreas Koschan
Lecture type	dictation
Grade	Homeworks, Mid-term exam and Presentation
Others

Course Name	INTRODUCTION TO DATA STRUCTURES
Credits	3
Period	2012 Spring
Objects
Schedule	1. Basic Concepts 2. Arrays and Structures 3. Stacks and Queues 4. Lists 5. Trees 6. Graphs 7. Sorting 8. Hashing 9. Heap Structures 10. Search Structures (2-3, 2-3-4 & red-black Tree) 11. AVL Tree
References	Fundamentals of Data Structures in C++, Freemanand Company / Ellis Horowitz, SartajSahni and Susan Anderson-Freed
Lecture type	dictation
Grade	Mid-term, final exam and 5~6 assignments
Others