In this paper we propose a robust method for recognition and pose determination of 3-D objects using range images in the eigenspace approach. Instead of computing the coefficients by a projection of the data onto the eigenimages, we determine the coefficients by solving a set of linear equations in a robust manner. The method efficiently overcomes the problem of missing pixels, noise and occlusions in range images. The results show that the proposed method outperforms the standard one in recognition and pose determination.
Robust recognition and pose determination of 3-D objects using range images in eigenspace approach
2001-01-01
1037617 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Robust Recognition and Pose Determination of 3-D Objects Using Range Images in Eigenspace Approach
British Library Conference Proceedings | 2001
|Robust localization using eigenspace of spinning-images
IEEE | 2000
|Robust Localization using Eigenspace of Spinning-Images
British Library Conference Proceedings | 2000
|