Title :
Uncertainty minimization in the localization of polyhedral objects
Author :
Caglioti, Vincenzo
Author_Institution :
Dept. of Electron. & Inf., Politecnico di Milano, Italy
fDate :
5/1/1994 12:00:00 AM
Abstract :
A straightforward method is presented for the determination of the optimal sensor exploration in the localization of a polyhedral object, whose geometry is known. Optimality is intended in the sense of the a posteriori covariance matrix of the object position and orientation parameters. The method consists in decomposing the problem into simpler subproblems, each one relative to a single planar face of the object. It requires reasonable processing time, i.e. comparable with the sensor activation time
Keywords :
image processing; matrix algebra; a posteriori covariance matrix; decomposition; object orientation parameters; object position parameters; optimal sensor exploration; polyhedral objects localization; uncertainty minimization; Covariance matrix; Geometry; Minimization methods; Noise measurement; Object detection; Optimal control; Position measurement; Robot sensing systems; Sensor phenomena and characterization; Uncertainty;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on