This paper addresses the localization and mapping problem for a robot moving through a (possibly) unknown environment where indistinguishable landmarks can be detected. A set theo...
Mauro Di Marco, Andrea Garulli, Antonio Giannitrap...
A stereovision method is presented in this paper, to compute reliable and quasi-dense disparity maps of road scenes using in-vehicle cameras. It combines the advantages of the &qu...
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
A design flow for processor platforms with on-chip coarse-grain reconfigurable logic is presented. The reconfigurable logic is realized by a 2-Dimensional Array of Processing Elem...
Michalis D. Galanis, Grigoris Dimitroulakos, Const...
This paper presents a rendering method for translucent objects, in which view point and illumination can be modified at interactive rates. In a preprocessing step the impulse res...
Hendrik P. A. Lensch, Michael Goesele, Philippe Be...