CS 284: CAGD
Lecture #22 -- Tue 11/06, 2012.

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Preparation: Study: Adaptively Sampled Distance Fields

Warm-Up: Someone might direct the following criticism at today's paper:

"The B-Rep of a 3D solid object is a 2D entity.
Does it make sense to represent a 2D manifold with sample points in 3D?
Doesn't that unnecessarily increase complexity and data volume?
(since volume complexity grwows with 3rd power, rather than the 2nd power)"

1.) How would you respond to this critique?

(Write down some key talking points.)

2.) How does one reconstruct a surface (in .STL format) from an ADF ?

Paper Presentation:

Brandon leads the discussion on: Adaptively Sampled Distance Fields

1.) In the top-down approach for creating subdivided ADF cells, what are the exact tests performed ?

2.) How is the gradient of the distance field computed ?

3.) In comparing the number of elements in Figures 4b and 4d, are the authors doing a fair comparison ?
How might they be making the ADF approach look particularly good in this example ?

4.) Name a couple of application domains that profit from the ADF approach of shape representation.

5.) How does one reconstruct the surface from an ADF ?

Assignments for Thu. Nov. 8, 2012:

Study: IS'07: Isosurface Stuffing: Fast Tetrahedral Meshes with Good Dihedral Angles