COMS W4160 Computer Graphics
Spring 2017, Columbia University
TR 11:40pm-12:55PM, 1127 Seeley W. Mudd Building
Instructor: Changxi Zheng
Staff
Chang Xiao (Ph.D. IA, cx2180@columbia.edu)
Henrique Maia (Ph.D. IA, htm2104@columbia.edu)
Lucas Schuermann (IA, lvs2124@columbia.edu)
Schedule
date | topic | reading | assignments | |
---|---|---|---|---|
19 | Jan | Introduction (slides) | ||
24 | Jan | Linear, Affine, and Frames (slides) | [S&M] Chap. 2 & 5; [Go.] Chap. 2 & 3 | |
26 | Jan | Geometric Transformation (slides) | [S&M] Chap. 6 | |
31 | Jan | Geometric Transformation (slides) | Big Buck Bunny developement files | paper assignment is out |
2 | Feb | Introduction to OpenGL | ||
7 | Feb | 3D Rotation and Quaternions (slides) | Quaternion interpolation | PA1 is out |
9 | Feb | --- Cancelled due to snow storm --- | ||
14 | Feb | Geometric Transformations in Graphics Pipeline (slides) | [S&M] Chap. 7 | |
16 | Feb | Graphics Pipeline (slides) | [S&M] Chap. 8 | |
21 | Feb | Graphics Pipeline and Shaders (slides) | ||
23 | Feb | GLSL Introduction | GLSL 3.30 Spec. | |
28 | Feb | Texture (slides) | Texture mapping in LWJGL | PA2 is out |
2 | Mar | MipMap Texture (slides) | MipMap level estimation | |
7 | Mar | Ray Tracing & Rendering Equation (slides) | ||
9 | Mar | Monte Carlo Rendering (slides) | ||
14 | Mar | ----------- | ||
16 | Mar | ----------- | ||
21 | Mar | Monte Carlo Rendering: Sampling Methods (slides) | PA3 is out | |
23 | Mar | Monte Carlo Rendering: Sampling Methods (slides) | ||
28 | Mar | Triangle Meshes (slides) | photon mapping tutorial | |
30 | Mar | Triangle Mesh Manipulation (slides) | ||
4 | Apr | Forward Kinematics (slides) | ||
6 | Apr | Interpolation and Spline curves (slides) | PA4 is out | |
11 | Apr | Guest lecture: | ||
13 | Apr | Inverse Kinematics (slides) | ||
18 | Apr | Interpolation of Quaternion | Quaternion interpolation | |
20 | Apr | Preliminary of physics-based simulation (slides) | PA5 is out | |
25 | Apr | Color (slides) | ||
27 | Apr | Emerging topics (slides) |
Projects and Work Load
You fun of this class starts from a paper homework with a few mathematical problems, followed by 4 programming projects throughout the semester and a final project. For the programming projects, you will be asked to implement some computer graphics algorithms. For the final project, you will propose a project which involves computer graphics techniques that you learn in this class. All projects should be implmented in Java and will be submitted to courseworks.
Due date: 10pm, Feb. 5 (Sunday)
Please submit electronically on Coureworks.
Due date: 10pm, Feb. 24
Please submit electronically on Coureworks.
Due date: 10pm, Mar. 12 (before the Spring break).
5% bonus if last submission is turned in by 10PM, Mar. 10.
Please submit electronically on Coureworks.
Due date: 10pm, Apr. 2.
Please submit electronically on Coureworks.
Exams
There will be no mid-term or final exam in this course. But there will be a final project.
Recommended Textbook
Shirley & Marschner,
Fundamentals of Computer Graphicsthird edition |
Gortler,
Foundations of 3D Computer Graphicsfirst edition |
- OpenGL reference page
- OpenGL "Red Book" --- *the* reference for OpenGL programming
- Anton's OpenGL 4 tutorials
- GitBook: 3D Development with LWJGL 3
About COMS W4160
Grading: Each homework to be graded will be scored out of 4 points on a 4.5-point scale:
- 0: Didn't hand it in
- 1: An attempt at a solution
- 2: A partially correct solution
- 3: A mostly correct solution
- 4: A correct solution
- 4.5: A creative and insightful solution
Due dates Paper homework should be handled in after the lecture on the due date. Programming assignments are due at 10:00 pm on the due date and are accepted with a late penalty. They must be submitted electronically, as detailed in the assignment.
Lateness policy:
Late submissions lose 1% per 12 minutes of lateness. For example: a submission that is two hours late is penalized 10%, and a submission that is 20 hours late receives no credit. Rationale: Since some programming assignments are built on each other, we must ensure that all students begin each assignment at an equal playing field. By enforcing a strict lateness policy, we will be able to post next assignment shortly after the previous one is due, thereby enabling students to build on a solid foundation in the following week.
Plan ahead. The only exception to this policy is a documented medical emergency. In order to ensure fair grading, exceptions are not possible for holidays, sport meets, theater appearances, indigestion, etc. Plan ahead.
Questions, help, discussion: The instructors and IAs are available to answer questions, advise on projects, or just to discuss interesting topics related to the class at office hours and by appointment as needed. For electronic communication we are using Piazza (link also available at the top of this page). Please sign up for the Piazza page. When posting questions, please keep them organized by posting them to specific folders.
You are welcome (encouraged, even) to discuss the homeworks and projects among yourselves in general terms. But when you start writing up the homeworks or implementing the projects, you need to be working alone. In particular, it is never permitted for you to see another student's homework writeup or other's program code, and certainly never tolerated to copy parts of one person's writeup, code, or results into another's, even if the general solution was worked out together.
You're also encouraged to read any published sources—books, articles, public web sites—that help you learn. If you find an idea in one of these sources that becomes part of your solution (or even gives you the whole solution), that's fine, but it is imperative that you explicitly cite the source on your homework or state it in a comment of your code. Otherwise you would be falsely claiming to have invented the idea yourself.
Academic integrity: We expect complete integrity from everyone. We assume the work you hand in is your own, and the results you hand in are generated by your program. You're welcome to read whatever you want to learn what you need to do the work, but we do expect you to build your own implementations of the methods we are studying. If you're ever in doubt, just include a citation in your code or report indicating where some idea came from, whether it be a classmate, a web site, another piece of software, or anything—this always maintains your honesty, whether the source was used in a good way or not. The principle is that an assignment is an academic document, like a journal article. When you turn it in, you are claiming that everything in it is your original idea (or is original to you and your partner, if you're handing in as a pair) unless you cite a source for it. it's never OK for you to see another student's homework writeup or another team's program code, and certainly never OK to copy parts of one person's or team's writeup, code, or results into another's, even if the general solution was worked out together.
School can be stressful, and your coursework and other factors can put you under a lot of pressure, but that is never a reason for dishonesty. If you feel you can't complete the work on your own, come talk to the professor or the IAs, or your advisor, and we can help you figure out what to do. Think before you hand in!
Clear-cut cases of dishonesty will result in failing the course.
For more information see Columbia Engineering's Code of Academic Integrity.
Open Door Policy: We hope the course to run smoothly and enjoyably. Feel free to let us know if you find the course helpful and interesting. Especially, let us know sooner about the reverse. Drop by our office hours, leave us a note, or send us an email.