Pose Estimation Using Feature Correspondences And DTM
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Pose estimation using feature correspondences and DTM.
In ICIP04, IV: 2603-2606, 2004
Online Version
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Abstract
A novel algorithm for pose estimation using feature correspondence and Digital Terrain Map (DTM) is proposed. A constraint is formulated by using corresponding features from two consecutive frames together with the information provided by the elevation map. The proposed constraint is nonlinear and is solved by using a simple numerical method. The proposed approach does not require an intermediate explicit reconstruction of the 3D world. The feasibility of the algorithm is studied using both synthetic data of a virtual terrain and experimental data obtained from a terrain model and a robotic camera.
Co-authors
Bibtex Entry
@inproceedings{LernerRR04i-p,
title = {Pose estimation using feature correspondences and DTM},
author = {Ronen Lerner and Ehud Rivlin and Hector Rotstein},
year = {2004},
booktitle = {ICIP04},
pages = {IV: 2603-2606},
abstract = {A novel algorithm for pose estimation using feature correspondence and Digital Terrain Map (DTM) is proposed. A constraint is formulated by using corresponding features from two consecutive frames together with the information provided by the elevation map. The proposed constraint is nonlinear and is solved by using a simple numerical method. The proposed approach does not require an intermediate explicit reconstruction of the 3D world. The feasibility of the algorithm is studied using both synthetic data of a virtual terrain and experimental data obtained from a terrain model and a robotic camera.}
}