A Knowledge-Based Registration System Using Radio-Frequency Identification

Attaching visual tags such as barcodes to some elements in a scene allows applications such as navigation, handling industrial objects, or augmented reality. In the past few years, a new type of non-visual tags has been the object of intensive developments: Radio-Frequency (RF) Tags. In this paper we present the architecture of a machine vision system that uses RF Tag identification (RFID). RFID enables detecting the presence of an object, which polyhedral model and properties are remotely retrieved from a knowledge network database. This model is used for object registration by projective invariant matching. Our system not only facilitates the problem of object identification and registration to a model, but also allows new Tag-Based applications to be built around the concept of ubiquitous objects.