Sciweavers

ICANN
1997
Springer

A Feature Map Approach to Pose Estimation Based on Quaternions

13 years 7 months ago
A Feature Map Approach to Pose Estimation Based on Quaternions
This paper proposes a novel solution to the problem of pose estimation of three-dimensional objects using feature maps. Our approach relies on quaternions as the mathematical representation of object orientation. We introduce the rigid map, which is derived from Kohonen’s self-organizing feature map. Its topology is fixed and chosen in accordance with the quaternion representation. The map is trained with computer-generated object views such that it responds to a preprocessed input image with one or more sets of object orientation parameters. Experimental results demonstrate that a pose estimate within the accuracy requirements can be found in more than 90% of all cases. Our current implementation operates at near frame rate on real input images.
S. Winkler, Patrick Wunsch, Gerd Hirzinger
Added 08 Aug 2010
Updated 08 Aug 2010
Type Conference
Year 1997
Where ICANN
Authors S. Winkler, Patrick Wunsch, Gerd Hirzinger
Comments (0)