The research reported in this paper is concerned with assessing the usefulness of reinforcment learning (RL) for on-line calibration of parameters in evolutionary algorithms (EA). ...
A. E. Eiben, Mark Horvath, Wojtek Kowalczyk, Marti...
This papers analyzes the reliability of radius of curvature estimates from tactile sensor data. A linear elastic model is used to t the indenter parameters, load, location, and cu...
We present a novel calibration method for off-axis catadioptric cameras, i.e. standard perspective cameras placed in a generic position w.r.t. an axial-symmetric mirror of unknown...
Central catadioptric cameras are imaging devices that use mirrors to enhance the field of view while preserving a single effective viewpoint. In this paper, we propose a novel met...
— Computer vision researchers have proved the feasibility of camera self-calibration —the estimation of a camera’s internal parameters from an image sequence without any know...
Javier Civera, Diana R. Bueno, Andrew J. Davison, ...