Skip to Main Content
This work presents a novel approach to registering multiple range images on top of a Google Maps image. The fundamental concept behind the method is matching completely different types of input with each other using classification as a middleman. Range images and Google Maps images are separated into classes, and the range image is also projected into a 2D top-down template image. The template image can then be matched against the Google Maps image to find its location and orientation on the map, which can be used for registering the range images. An experiment comparing this technique against using GPS to find position and orientation showed that it is effective at automatically constructing a reasonable large-scale 3D model whereas GPS would be completely ineffective.