Augmented representation of underwater scenes by segmentation and reconstruction of 3D acoustic images
In this paper, a system aimed at the augmented representation of underwater scenes is presented. The system operates on three-dimensional acoustic images and is composed of several modules devoted to noise filtering, segmentation in pipe-shaped structures, recognition and reconstruction. Finally, identified objects are backprojected in the acoustic image in order to facilitate its interpretation. The final aim is to obtain an augmented (or virtual) representation of such images providing a useful tool to support a human operator for navigating in and inspecting underwater environments.