This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual da...
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...
Abstract This paper investigates simple and robust transparency-attainable control architectures for bilateral teleoperation. The strength of two-channel control architectures and ...
— In this paper we present a novel approach to robust visual servoing. This method removes the feature tracking step from a typical visual servoing algorithm. We do not need corr...
This paper presents a novel algorithm for 2D planar curve recognition based on B-Spline modeling. It combines the advantages of the B-Spline that are continuous curve representati...