MPI-INF Logo
Campus Event Calendar

Event Entry

What and Who

Silhouette Based 2D-3D Pose Estimation using Algebraic Surfaces

Nazar Amin Khan
IMPRS-CS
Talk
AG 1, AG 2, AG 3, AG 4, AG 5, SWS  
MPI Audience
English

Date, Time and Location

Thursday, 12 October 2006
09:00
75 Minutes
E1 4
024
Saarbrücken

Abstract

2D-3D pose estimation deals with estimating the relative position and orientation of a known 3D model from a 2D image of the

model. One approach (the explicit approach) to the problem involves registering the 3D model points to lines back-projected
through the image silhouette in order to reveal the optimal pose parameters. Another approach is to represent the 3D model and
the image silhouette as zero-sets of implicit polynomials and then to minimise the distance between image outline pixels and the
zero-set of the silhouette equation to reveal the optimal pose parameters. This work deals with representing 3D models as implicit
polynomials, then computing silhouette equations using elimination theory and finally estimating pose parameters.

Contact

IMPRS-CS
225
--email hidden
passcode not visible
logged in users only

Jennifer Gerling, 10/11/2006 10:08
Jennifer Gerling, 10/09/2006 16:42 -- Created document.