CGL Meeting Agenda

Wednesday, August 19th, 1998


Location:
DC 1304
Time:
1:30
Chair:
Shalini Aggarwal (for Blair Conrad)
:-)

Member List

1. Adoption of the Agenda - additions or deletions

2. Coffee Hour

Coffee hour this week:
Shalini Aggarwal
Coffee hour next week:
who?

3. Next meeting

Date:
Wednesday, 2 September, 1998
Location:
DC 1304
Time:
1:30
Chair:
Bill Cowan
:-)
Technical presentation:
Blair Conrad
:-)

4. Forthcoming

Chairs:
  1. Erik Demaine (September 9th)
  2. :-(
  3. Ed Dengler (September 16th)
  4. :-(
  5. Patrick Gilhuly (September 23rd)
  6. :-(
Tech Presenters:
  1. Shalini Aggarwal (September 9th)
  2. :-)
  3. Erik Demaine (September 16th)
  4. :-(
  5. Ed Dengler (September 23rd)
  6. :-(

5. Technical Presentation

Presenter:
Wilkin Chau :-)
Title:
Basic Concept of MRI
Abstract:
Magnetic Resonance Imaging (MRI) is a powerful tool that can produce high quality images of the inside of the human body. It has been widely used in clinical applications and medical researchs. In this talk, the simplified concept of physics behind the MRI and the process of generating MR images will be discussed.

6. General Discussion Items

7. List of Action and Continuing Items

8. Director's Meeting

9. Seminars

When: 
  Thursday, August 27, 1998
  10:00---11:00
Where:
  DC 1331
Who:
  Zhe Liu  
What:
  Masters Thesis Presentation
  ``Algorithms for Constraint Satisfaction Problems (CSPs)''

-------------------------------------------------------------------

When:
  Aug 27, 1998 
  1:00---3:30
Where:
  DC 1304
Who:

  (1:00) Ian Stewart
	Acceleration of General Implicit Surface Raycasting

	The interval Newton method can be used to robustly find all 
    roots along a ray through arithmetically computable functions, 
    which can be used to render general implicit surfaces. 
    Unfortunately, naive interval analysis is relatively slow. 
    Fortunately, there are ways to greatly speed up the process 
    that do not sacrifice robustness.

  (1:30) Jan Kautz
    Interactive Rendering with Arbitrary Reflectances

	Bidirectional reflectance distributions are general models of 
    surface reflectance. They can be decomposed into sums of 
    separable functions by finding the SVD of a sampled matrix 
    representation of the BRDF. This compressed representation of 
    the BRDF lets us use hardware texture mapping, compositing, 
    and accumulation operations to reconstruct the reflectance.

  (2:00) Caroline Kierstead
    Simulation of Reflectance due to Subsurface Scattering

	Many important real materials, such as skin, leaves, and 
    painted surfaces, are composed of multiple layers of 
    semitranslucent materials, each of which scatters, absorbs, 
    and reflects light. A Monte Carlo simulator was built to 
    estimate the bidirectional reflectance distributions from 
    such surfaces. This was compared with the analytic, 
    first-bounce solution.

  (2:30) Shalini Aggarwal
    Rendering and Modelling with A-Patches

	A-patches are implicit surfaces based on Bezier tetrahedra 
    that are guaranteed to contain a single-sheeted algebraic 
    surface patch where all line segments between one vertex/face 
    pair intersect the patch exactly once. Under such conditions 
    the patches can be quickly and robustly rendered using a scalar 
    root solver. A-patches were analyzed with blossoming techniques, 
    and used to fit surfaces to parametric scattered data.

  (3:00) Eric Hall
    Texture Mapping Pasted Surfaces

	Pasted surfaces can be used to adaptively and efficiently add 
    detail to a spline surface. However, due to the lack of a 
    global surface parameterization, texture maps on these 
    surfaces can exhibit discontinuities. Various techniques were 
    explored to obtain a suitable continuous global 
    parameterization.

When:
  Friday, September 4, 1998
  1:00-1:30
Where:
  DC 1304
Who:
  Carsten Whimster
What:
  Advanced Image Synthesis - CS 788 Student Presentation
  ``Interactive Global Illumination''



For More Information on CS 788 Presentations:

http://www.cgl.uwaterloo.ca/~mmccool/cs788/


10. Lab Purification