A Chan Vese based method of texture extraction for automated texture draping of 3D geospatial objects

We have addressed the problem of visualization of vector building data on top of a terrain. It tries to make it more realistic by automated draping of building textures from geo-tagged images which are captured from a cell phone camera with a built-in GPS. We use the properties of the images to tag them to the corresponding 2D polygon footprint by using the camera pose, and the cameras position to automate our process. The elevation data captured from NASAs SRTM project, GTOPO, etc can be used to render 3D terrains using existing GPU based Level of detail (LOD) algorithms[1] [2] [3]. The vector data of buildings along with their height attributes can be obtained from various Lidar based algorithms or from DEM data[4] [5]. A scene graph is used as the data structure which is used to render these vector based graphics models, supported by osgEarth [6].