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Conceptual world
Modeling Simulation
Traditional Graphics
shape models reflection models motion models
Conceptual world
Modeling Simulation
Traditional Graphics
Pros:
+ Compact representation
+ Easy to manipulate
Cons:
- Very hard to build realistic models
- Too complex to simulate
Real world Data capture
Data analysis and synthesis
Data-driven Graphics
Pros:
+ High realism
+ Computer cost independent on the complexity of the model
Cons:- Large set of data
- Hard to control, edit, modify
What You Will Learn
An in-depth study of data-driven computer graphics
Learn how to find and formulate a research problem
Refine your presentation skill
My Research Interest
Interested in animation, graphics, and vision
• Methods for creating and manipulating high-dimensional visual media (animation, models, images, and videos)
• Data-driven approach
• Video-based data capture
Thesis: exploiting spatial-temporal constraints for interactive animation control
Thesis Research
Goal: everyone can generate and control human animation easily and quickly
Online animation control
Thesis Research
Goal: everyone can generate and control human animation easily and quickly
Online animation control
Thesis Research
Goal: everyone can generate and control human animation easily and quickly
Offline animation control
User input Output animation
Thesis Research
Goal: everyone can generate and control human animation easily and quickly
Offline animation control
User input Output animation
Prerequisites
A good working knowledge of C/C++ or Matlab
A good understand of math (linear algebra, probability theory )
Background in CG
Willing to learn new stuffs (optimization, statistical learning, computer vision, etc.)
Grading Schemes
Paper presentation (20%)
Class participation/discussion (20%)
Paper summary (20%)
Final project (40%)
Paper Presentation
Before the talk
• Visit the project webpage
• Download the video or ask me for the video
Give 20 -- 25 minutes talk
Lead the paper discussion
Come to my office hours if u need help
Class Participation/Discussion
Show up
Do the reading
Submit the paper summary to me BEFORE the class
Actively participate in paper discussion
Final Project
Approved by the professor
Student can work in a group of two
Submit your code and final project report
Talk to me if you need any helps
Late policy: 20% reduction per day if you do not have good reasons
Grading Schemes
Paper presentation (20%)
Class participation/discussion (20%)
Paper summary (20%)
Final project (40%)
Chai’s Talk/Paper Style
Introduction
• What?
• Why?
• How?
Related work or background
Algorithm overview
Describe each step of the algorithm
Experiments & results
Discussion & future work
Other Information
My email: [email protected]
My homepage: http://faculty.cs.tamu.edu/jchai
My office: Rm 527D Bright
Office hours: MW 4:00-5:00 Pm
Course webpage: http://www.cs.tamu.edu/jchai/689_DRCG/