Camera full pose estimation using only a monocular camera model is an important topic in the field of visual servoing. In this paper a simple adaptive method for updating the weights of particle filter is proposed. Using this method, the efficiency of particle filter in estimating the full pose of camera is improved. Results of the proposed method are compared with those of generic particle filter (PF) and EKF under the same condition through an intensive computer simulation.
Adaptive particle filter based pose estimation using a monocular camera model
2010-10-01
500244 byte
Conference paper
Electronic Resource
English
Monocular head pose estimation using generalized adaptive view-based appearance model
British Library Online Contents | 2010
|3D Face pose estimation and tracking from a monocular camera
British Library Online Contents | 2002
|SYSTEM AND METHOD TO IMPROVE MULTI-CAMERA MONOCULAR DEPTH ESTIMATION USING POSE AVERAGING
European Patent Office | 2023
|