Robust real-time visual tracking using a 2D-3D model-based approach
Résumé
We present an original method for tracking, in an image sequence, complex objects which can be approximately modeled by a polyhedral shape. The approach relies on the estimation of the 2D object image motion along with the computation of the 3D object pose. The proposed method fulfills real-time constraints along with reliability and robustness requirements. Real tracking experiments and results concerning a visual servoing positioning task are presented.
Domaines
Robotique [cs.RO]
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