cpsc 689 603 data driven computer graphics jinxiang chai
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CPSC 689-603: Data-driven Computer Graphics Jinxiang Chai. Compute Graphics. Traditional Graphics Versus Data-driven Graphics. Lighting. Geometry. texture. Surface property. Motion. Traditional Graphics. Conceptual world. Modeling. Simulation. Traditional Graphics. Conceptual world.

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slide3
Traditional Graphics Versus Data-driven Graphics

Lighting

Geometry

texture

Surface property

Motion

slide4
Traditional Graphics

Conceptual world

Modeling

Simulation

slide5
Traditional Graphics

Conceptual world

Modeling

Simulation

shape models

reflection models

motion models

slide6
Traditional Graphics

Conceptual world

Modeling

Simulation

slide7
Traditional Graphics

Conceptual world

Modeling

Simulation

Pros:

+ Compact representation

+ Easy to manipulate

Cons:

- Very hard to build realistic models

- Too complex to simulate

slide9
Data-driven Graphics

Data capture

Real world

Data analysis and synthesis

Pros:

+ High realism

+ Computer cost independent on the complexity of the model

Cons:

- Large set of data

- Hard to control, edit, modify

slide10
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

slide11
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

slide12
Thesis Research

Goal: everyone can generate and control human animation easily and quickly

Online animation control

slide13
Thesis Research

Goal: everyone can generate and control human animation easily and quickly

Online animation control

slide14
Thesis Research

Goal: everyone can generate and control human animation easily and quickly

Offline animation control

User input

Output animation

slide15
Thesis Research

Goal: everyone can generate and control human animation easily and quickly

Offline animation control

User input

Output animation

slide16
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.)

slide17
Grading Schemes

Paper presentation (20%)

Class participation/discussion (20%)

Paper summary (20%)

Final project (40%)

slide18
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

slide19
Class Participation/Discussion

Show up

Do the reading

Submit the paper summary to me BEFORE the class

Actively participate in paper discussion

slide20
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

slide21
Grading Schemes

Paper presentation (20%)

Class participation/discussion (20%)

Paper summary (20%)

Final project (40%)

slide22
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

slide23
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/

slide24
Email Me Today

Your background

  • Graphics?
  • Math?
  • Coding?

Your research Interest?

Master/Ph.D. (year)?

Why do you take this class?

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