Methods for pose estimation of flying objects are introduced. Among them is the model-based optical method. We focus on the feature description aspect in model-based method. Feature descriptors of chain codes, moments, Fourier descriptors are used for 2D silhouette or region description. Common issues and techniques, particularly representation and normalization, of such three kinds of descriptors in the application of model-based pose estimation are analyzed. We build a Matlab pose estimation framework to compare pose estimation procedures using different feature descriptors. A missile model of MilkShape 3D file format is created as the simulation object. Experiments concerning with the abilities of descriptors are proceeded to show the difference of these descriptors.
A comparative study on model-based pose estimation of flying objects with different feature descriptors
International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications ; 2011 ; Beijing,China
Proc. SPIE ; 8196
15.08.2011
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
British Library Conference Proceedings | 2011
|Pose Estimation for Space Objects Based on Contour Feature Matching
Springer Verlag | 2025
|A comparative experimental study of image feature detectors and descriptors
British Library Online Contents | 2015
|Feature Detection for Pose Estimation
AIAA | 2015
|Vision-based pose estimation for cooperative space objects
Online Contents | 2013
|