In this paper, we present a practical place and object recognition method for guiding visitors in building
environments. Recognizing places or objects in real world can be a difficult problem due to motion blur and camera
noise. In this work, we present a modeling method based on the bidirectional interaction between places and objects
for simultaneous reinforcement for the robust recognition. The unification of visual context including scene context,
object context, and temporal context is also. The proposed system has been tested to guide visitors in a large scale
building environment (10 topological places, 80 3D objects).
environments. Recognizing places or objects in real world can be a difficult problem due to motion blur and camera
noise. In this work, we present a modeling method based on the bidirectional interaction between places and objects
for simultaneous reinforcement for the robust recognition. The unification of visual context including scene context,
object context, and temporal context is also. The proposed system has been tested to guide visitors in a large scale
building environment (10 topological places, 80 3D objects).