In this paper we present a system that allows its use to build synthetic graphical documents for the performance evaluation of symbol recognition systems. The key contribution of ...
Mathieu Delalandre, Tony P. Pridmore, Ernest Valve...
Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meani...
Marco Baroni, Brian Murphy, Eduard Barbu, Massimo ...
Abstract— Robot vision systems notoriously require large computing capabilities, rarely available on physical devices. Robots have limited embedded hardware, and almost all senso...
Roberto Pirrone, Giuseppe Careri, F. Saverio Fabia...
The goal of this paper is to give a short historical overview of multiple view vision and in particular the estimation of both camera geometry and scene models using only images a...
A mechanism for efficient mean-shift belief propagation (MSBP) is introduced. The novelty of our work is to use mean-shift to perform nonparametric mode-seeking on belief surfaces...