Visualisation based feedback control for multiple sensor fusion
This paper presents a new approach for adaptive weighting schemes for multiple sensor fusion by using visualisation feedback control. A visualisation schema is used to coordinate the information content capture of different features from multiple sensors. The end-users can interact with the training sample distribution to obtain weights for the sensor data fusion and decision making. Based on the proposed fusion approach, some applications such as audiovisual biometric authentication and multi-modal surface measurement are discussed.
visualisation feedback control sensor fusion adaptive weighting multi-modal data virtual reality