Gaussian Process Implicit Surfaces

author: Oliver Williams, Microsoft Research
published: Feb. 25, 2007,   recorded: June 2006,   views: 396
Categories

Slides

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Bibliography

Description

Many applications in computer vision and computer graphics require the definition of curves and surfaces. Implicit surfaces are a popular choice for this because they are smooth, can be appropriately constrained by known geometry, and require no special treatment for topology changes. In this paper we use Gaussian processes for this and derive a covariance function equivalent to the thin plate spline regularizer which has desirable properties for shape modelling. We demonstrate our approach for both 2D curves and 3D surfaces. The benefit of using a Gaussian process for this is the meaningful probabilistic representation of the function.

See Also:

Download slides icon Download slides: gpip06_williams_gpis_01.pdf (3.0┬áMB)


Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: