DAVE KNOTT
This is my (somewhat minimal) home page.
Here is what you should know about me:
- My idea of a great vacation is a 3415.8 km bicycle trip
- I AM NOW ACTIVELY SEEKING EMPLOYMENT
- My most recent employment falls under the general umbrella of
software engineering in the computer games industry.
- I was previously a doctoral-track graduate student at the University of North Carolina at Chapel Hill
in the department of computer science.
- I was affiliated with the GAMMA
research group, focusing on geometric modeling and animation
- Research involved improved methods for collision
detection between highly deformable geometric models.
- Results were accepted for publication at the SIGGRAPH 2005 conference.
- See below for a copy of the paper and
its associated video.
- I hold a masters degree from the University
of British Columbia in the
department of computer science.
- I was affiliated with both the Imager computer graphics
group, and the LCI
artificial intelligence and
robotics
group.
- My graduate studies supervisor was Dinesh Pai.
- Some of my thesis research was done in conjunction with the
fine folks at Radical Entertainment.
- Research involved using graphics hardware to aid in
collision and interference detection.
- See below for copies of the thesis and
publications.
e-mail me through: davidknott
[at] gmail [dot] com
If you feel like encrypting
your correspondence, here's my PGP public key
Publications
- Interactive Collision
Detection
between Deformable Models using Chromatic Decomposition
- Naga K.
Govindaraju, David Knott, Nitin
Jain, Ilknur Kabul,
Rasmus Tamstorf, Russell
Gayle, Ming C. Lin,
and Dinesh Manocha
- ACM Transactions on Graphics
(Proceedings of ACM SIGGRAPH 2005), 24(3),
July 2005
- Project page,
including paper and video
- Simulation
of
Complex Audio-Visual Scenes
- CInDeR:
Collision and Interference Detection in Real-Time using graphics
hardware
- David Knott
- Masters Thesis, University of British Columbia, 2003
- Particle
System Collision
Detection using
graphics hardware,
- CInDeR:
Collision and Interference Detection in Real-Time using graphics
hardware
All documents are in Adobe Acrobat (PDF) format.
