Title :
Gauges and gauge transformations for uncertainty description of geometric structure with indeterminacy
Author :
Kanatani, Kenichi ; Morris, Daniel D.
Author_Institution :
Dept. of Comput. Sci., Gunma Univ., Japan
fDate :
7/1/2001 12:00:00 AM
Abstract :
This paper presents a consistent theory for describing indeterminacy and uncertainty of three-dimensional (3-D) reconstruction from a sequence of images. First, we give a group-theoretical analysis of gauges and gauge transformations. We then discuss how to evaluate the reliability of the solution that has indeterminacy and extend the Cramer-Rao lower bound to incorporate internal indeterminacy. We also introduce the free-gauge approach and define the normal form of a covariance matrix that is independent of particular gauges. Finally, we show simulated and real-image examples to illustrate the effect of gauge freedom on uncertainty description
Keywords :
covariance matrices; group theory; image reconstruction; image sequences; uncertain systems; 3D shape reconstruction; Cramer-Rao lower bound; covariance matrix; free-gauge approach; gauge transformations; geometric structure; group theory; image sequence; indeterminacy; internal indeterminacy; real images; simulated images; solution reliability; uncertainty description; Application software; Cameras; Computer vision; Image reconstruction; Internet; Layout; Robotics and automation; Service robots; Shape measurement; Uncertainty;
Journal_Title :
Information Theory, IEEE Transactions on