Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/74527
Title: | Morphological corner detection: application to camera calibration | Authors: | Alvarez, L Cuenca, Carmelo Mazorra, L. |
UNESCO Clasification: | 120304 Inteligencia artificial | Keywords: | Computer vision Geometric and morphologic analysis Stereo vision 3D and range data analysis. |
Issue Date: | 2001 | Conference: | IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2001) | Abstract: | In this paper we study the application of the Affine Morphological Scale Space (AMSS) to corner detection with subpixel precision. Corner detection techniques are in general very sensitive to noise, so some kind of filtering is usually needed to remove noise before estimating the corner location, however, the filtering procedure changes the location of the corner, so the filtering introduce errors in the corner location. If we use the AMSS scale space as filtering, we can solve this problem because following the evolution of the maxima of the curvature across the scales we can recover the original location of the corners with subpixel precision. We apply this technique of corner detection to calibrate a camera system using a calibration object. | URI: | http://hdl.handle.net/10553/74527 | ISBN: | 0-88986-293-1 | Source: | Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications (2001), p. 21-26 |
Appears in Collections: | Actas de congresos |
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.