A method for fusing and integrating different 2D and 3D measurements for pose estimation is proposed. The 2D measured data is viewed as 3D data with infinite uncertainty in particular directions. The method is implemented using Kalman filtering. It is robust and easily parallelizable
Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on
(Volume:17
,
Issue:
2
)
Date of Publication: Feb 1995