Tag-based vision: assisting 3D scene analysis with radio-frequency tags

Radio frequency (RF) tags are growing popular for many industrial applications such as product tracking and security. We investigate the benefit of RF tagging in an application of 3D object registration from single view. We present a machine vision system that uses a RF Tag device to detect objects prior to locating them visually. The tag system consists of a tag reader that can interrogate, and receive radio signals from, tags attached on objects and characterizing them. Laying the basis of an object model database shared on a network, we perform a knowledge-based recognition task where the information retrieved from the database query serves as the prior. The recognition algorithm used is a matching with projective invariants. Our architecture is a prototype that prefigures tag based applications where physical and logic representations of objects are combined.