A method for recognition and localization of generic objects for indoor navigation

We introduce an efficient method for recognition and localization of generic objects for robot navigation, which works on real scenes. The generic objects used in our experiments are desks and doors as they are suitable landmarks for navigation. The recognition method uses significant surfaces and accompanying functional evidence for recognition of such objects. Currently, our system works with planar surfaces only and assumes that the objects are in a "standard" pose. The localization and orientation of an object are represented with the most significant surface in an "s-map". Some results for laboratory scenes are given. >