Fall 2017 - CMPT 464 D100

Geometric Modelling in Computer Graphics (3)

Class Number: 7100

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 5 – Dec 4, 2017: Tue, 10:30–11:20 a.m.
    Burnaby

    Sep 5 – Dec 4, 2017: Thu, 9:30–11:20 a.m.
    Burnaby

  • Exam Times + Location:

    Dec 12, 2017
    Tue, 8:30–11:30 a.m.
    Burnaby

  • Prerequisites:

    CMPT 361, MACM 316.

Description

CALENDAR DESCRIPTION:

Covers advanced topics in geometric modelling and processing for computer graphics, such as Bezier and B-spline techniques, subdivision curves and surfaces, solid modelling, implicit representation, surface reconstruction, multi-resolution modelling, digital geometry processing (e.g. mesh smoothing, compression, and parameterization), point-based representation, and procedural modelling. Students with credit for CMPT 469 between 2003 and 2007 or equivalent may not take this course for further credit.

COURSE DETAILS:

This course will be cross-listed with CMPT 764.

This course covers recent and advanced modeling techniques in computer graphics. Our focus will be on the acquisition, representation, processing and synthesis of 3D shapes, with applications to games development, computer aided design and 3D fabrication.

The main modeling primitive studied will be polygonal meshes, which have been the dominant surface representation for highly detailed free-form 3D data. In recent years, mesh modeling and processing has been the most intensely studied subject in geometric modeling. This field is still fast evolving with many interesting problems and much aspiration for application development and future research. EG: in deep learning, computational design and fabrication.

Basic mathematical concepts and tools necessary to understand the course will be presented depending on students' background. But the ability to program in C/C++ with OpenGL is required.

Topics

  • Introduction to various surface representations and modelling paradigms; tensor-product surfaces, implicit surfaces, polygonal meshes, subdivision surfaces and point-sampled geometry
  • Subdivision surfaces and modelling
  • 3D shape acquisition and surface reconstruction
  • Level of details and multi-resolution modelling
  • Digital geometry processing: smoothing, feature extraction, segmentation and correspondence
  • Machine learning in shape analysis and geometic modelling
  • 3D printing

Grading

NOTES:

Two (2) midterms (35%), two (2) homework assignments (30%) and a final project (35%)

Materials

MATERIALS + SUPPLIES:

Reference Books

  • Polygon Mesh Processing, Mario Botsch, Leif Kobbelt, Mark Pauly, Pierre Allieza, Bruno Levy, AK Peters, 2010, 9781568814261
  • Computer Graphics using Open GL, F. S. Hill Jr. and S. M. Kelley, Prentice Hall, 2007, 9780131496705, 3rd Edition
  • Practical Algorithms for Image Analysis: Description, Examples & Code, M. Seul, L. O'Gorman, M. J. Sammon, Cambridge University Press, 2000, 9780521660655, No longer in print - will not be available in Bookstore - please search online for new/used copies
  • Tutorials on Multiresolution in Geometric Modelling, A.Iske, E.Quak, M.S. Floater, Springer, 2010, 9783642078194
  • Survey papers on selected topics,

RECOMMENDED READING:

Level of Detail for 3D Graphics
No longer in print - available online for free - see link,
D. Luebke, et al
Morgan Kaufman

http://www.google.ca/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&ved=0CC8QFjAC&url=http%3A%2F%2Fge0.googlecode.com%2Ffiles%2FLevel%2520of%2520Detail%2520for%25203D%2520Graphics.pdf&ei=9-NKVIi3CYmcyQTQt4C4BQ&usg=AFQjCNEDyGsSRr86TGa6eLezndXM0MPmRg&bvm=bv.77880786,d.aWw
ISBN: 9781558608382

Registrar Notes:

SFU’s Academic Integrity web site http://students.sfu.ca/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS