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Content Provider | IEEE Xplore Digital Library |
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Author | Diaz, J.C. Abderrahim, M. |
Copyright Year | 2007 |
Description | Author affiliation: Univ. Carlos III de Madrid, Madrid (Diaz, J.C.; Abderrahim, M.) |
Abstract | This paper presents a new formulation of SoftPOSIT, a model based camera algorithm for determining the pose (position and orientation) of a 3D object from a single 2D image when correspondences between object points and image points are not known. This algorithm integrates the Softassign technique for computing correspondences and the POSIT technique for computing object pose. The method finds the rotation and translation parameters of the camera with respect to an object. The major contribution of this work is in contriving a pragmatic approach for 3D pose estimation and tracking, which yielded faster computation than the original algorithm and good target tracking performance. A new calculation of the Distance Matrix which represents the relationship between the features model projected and the image points has been introduced This new approach has been successfully applied in synthetic and real images demonstrate the effectiveness of the proposal modification. |
Starting Page | 1 |
Ending Page | 6 |
File Size | 3892041 |
Page Count | 6 |
File Format | |
ISBN | 9781424408290 |
DOI | 10.1109/WISP.2007.4447523 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-10-03 |
Publisher Place | Spain |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Target tracking Robot vision systems 3D object tracking Inspection Satellite navigation systems Yield estimation Robotics and automation Model-based Pose Estimation Cameras Feature extraction Systems engineering and theory Modified SoftPOSIT Noise robustness |
Content Type | Text |
Resource Type | Article |
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