Abstract
This paper proposes a weighted feature selection technique for visual servoing with occlusion recovery. The proposed control algorithm selects a set of correctly extracted image features, and it estimates all image features from the correctly extracted image features. The control input signal is calculated by using the selected image features with weight in order to reduce discontinuities caused by the change of the selected set.
