Model-Based Restoration of 3-D Vision Information about Underwater Targets
Yang Zhonggen; Qiao Jinglu; Zhao Changbing; Luan Xiaoming (Dept. of Electronic Engineering, Harbin Engineering University 150001)
The restoration of 3-D vision information about underwater targets is the key problem for an Autonomous Under water Vehical (AUV) to sense envirronmental information and perform autonomous tasks. This paper presents a model --based restoration method. This method makes the curve fitting based on the detected edge points of targets and restores the .3D information of targets using the model knowledge. The method has been employed, successfully, for the guidance of an AUV in its autonomous underwater operations.