In this paper, we propose a novel temporal template, called Chrono-Gait Image (CGI), to describe the spatio-temporal walking pattern for human identification by gait. The CGI temp...
Automated processing of facial images has become a serious market for both hard- and software products. For the commercial success of face recognition systems it is most crucial th...
The process engine for pattern recognition and information fusion tasks, the pepr framework, aims to empower the researcher to develop novel solutions in the field of pattern reco...
Volker Fritzsch, Stefan Scherer, Friedhelm Schwenk...
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Inspired by psychophysical studies of the human cognitive abilities we propose a novel aspect and a method for performance evaluation of contour based shape recognition algorithms ...