[2014 Fall]
CIS-6930-U03: Advanced Special Topics in Computer Graphics & Vision


Conference: ECS 235, Mon 1:00-3:50PM

Instructor: Dr. Wei Zeng

Office: ECS 357

Office Hours: Wed 1:00-5:00PM, or by appointment

Homepage: http://www.cis.fiu.edu/~wzeng/


Email: N/A


11/17: Course wrap-up! Prepare for final session!

07/12: Syllabus was released!

Lecture Schedule

Notes: More course materials can be found in Moodle.

08/25: Lecture#01: 

  • Introduction to Computer Graphics, Geometry & Topology; Project Assignment

09/01: Lecture#02: Labor Day

09/08: Lecture#03:

  • Introduction to 3D Computer Vision: 3D Reconstruction; Project Introduction  

  • Project: Autonomous Navigation of Quadrotor in Indoor Environment  

  • Project: WebGL: An Introduction

  • Project: Shape Analysis

09/15: Lecture#04:

  • Project: Dewarping Scanned Document Images  

  • Depth from Defocus 

  • Project: Advanced Deformation of 3D Object

  • Urbanscape  

09/22: Lecture#05:

  • Photo Tourism  

  • Shape Analysis  

  • Microsoft Kinect  

  • Building Rome in a Day

09/29: Lecture#06:

  • Aerial 3D  

  • Augmented Reality  

  • Content - based Image Retrieval 

  • Mult-View Stereo 

10/06: Lecture#07:

  • Active Flattening of Curved Document Images via Two Structured Beams  

  • Microsoft Hyperlapse  

10/13: Lecture#08:

  • Autonomous MAV Navigation in Indoor Environment 

  • Content-Based Image Retrieval  

  • Representing Mesh Object in WebGL  

  • Shape-From-Silhouette of Articulated Objects and its Use for Human Body Kinematics Estimation and Motion Capture 

  • Software and Algorithm Optimization for Leap Motion Gesture Controller 

10/20: Lecture#09:

  • Shape from Shading (Photoclinometry)  

  • Shape from Silhouettes 

  • Dewarping Scanned Document Images 

10/27: Lecture#10:

  • Color and Texture-Based Image Segmentation Using EM and Its Application to Content-Based Image Retrieval 

  • Photometric Stereo 

  • Shape Analysis  

11/03: Lecture#11:

  • N/A

11/10: Lecture#12:

  • Photometric Stereo (Cont.)  

  • Shape Analysis  

11/17: Lecture#13: Final Session - I

  • Course Wrap-Up

  • Some Fundamentals of 3D Computer Vision

  • Shape Analysis of Moving Fruit Fly

  • Image Analysis  

11/24: Lecture#14: Final Session - II

  • Quaternion

  • Shape from X

  • A Research for 3D WebGIS Based on WebGL

12/01: Lecture#15: Final Session - III

  • Medical Image Analysis

  • Image Retrieval

12/08: Lecture#16: Final Session - IV

  • Project: Autonomous MAV Navigation in Indoor Environment

  • Project: FIU Geometric Search Engine

  • Object Tracking

  • Project: Image Feature Extraction & Active Contour, Level Set

  • Project: Leap Motion Performance  


1. Introduction to Geometry & Topology

2. Fundamentals of Computer Vision

3. Fundamentals of Computer Graphics

4. Shape from X

5. Image Analysis, Shape Analysis

6. Content-Based Image Retrieval, Geometric Search

6. Applications: Graphics & Vision, Medical Imaging, Robotics

7. Paper Reading, Project Discussion


None Required


SCIS Graduate Standing (or equivalents, or permission of instructor)


Elective for MSCS, MSIT, MSTN, and Ph.D. students 

Course Objectives

The seminar course will help students grasp the baisc and latest geoemtric techniques by lectures and paper reviewing and prepare for Graphics and Vision related research.


1. Reading Material: Lecture notes; Related journal articles (TPAMI, TOG, TVCG, TMI, etc.) and conference papers (ICCV, CVPR, ECCV, SIGGRAPH, etc.).

2. Computational Conformal Geometry. Xianfeng David Gu and Shing-Tung Yau. International Press, 2008.

3. Ricci Flow for Shape Analysis and Surface Registration: Theories, Algorithms, and Applications. Wei Zeng and Xianfeng David Gu. Springer, 2013.

Grading Policy

Midterm (paper reading / summary / presentation): 40%

Final (project summary / presentation / demo): 60% 

Notes: All the assignment, submission, and grading will be done through Moodle.

1. The due date will be announced with assignment. Late submission will generally not be accepted. If there are extenuating circumstances, you should make prior arrangements with Instructor .

2. The final project can be done independently or in a form of group.

3. Each report includes: 1) your name, and 2) the names of any people you worked with, or ¡°Collaborators: none¡± if you did that completely alone.

4. Plagiarism and other dishonest behavior cannot be tolerated in any academic environment that prides itself on individual accomplishment.

University Policies and Regulations

1. Regulations concerning Incomplete Grades: http://academic.fiu.edu/polman/sec16web.htm 

2. For academic misconduct, sexual harassment, religious holydays, and information on services for students with disabilities, please see:






©2014 Wei Zeng        http://www.cs.fiu.edu/~wzeng           Last Updated: 12/08/2014