Algorithms for acceleration of image processing at automatic registration of meeting participants

Abstract

The aim of the research is to develop the algorithms for acceleration of image processing at automatic registration of meeting participant based on implementation of blurriness estimation and recognition of participants faces procedures. The data captured by the video registration system in the intelligent meeting room are used for calculation variety of person face size in captured image as well as for estimation of face recognition methods. The results shows that LBP method has highest recognition accuracy (79,5%) as well as PCA method has the lowest false alarm rate (1,3%). The implementation of the blur estimation procedure allowed the registration system to exclude 22% photos with insufficient quality, as a result the speed of the whole system were significantly increased.