Laboratory Visual Information Systems

PhD Eng. Ognian Bumbarov
Type of the organization / person: R&D

The team of researchers from the Technical University of Sofia, which will work on future projects on the topic of Face Emotion Recognition is part of the team of the Research Laboratory "Visual Information Systems" at the department of "Radio communications and Video technologies" at the Faculty of Telecommunications, Technical University of Sofia.

In the last 10 years the work of the Research Laboratory "Visual Information Systems" is connected to the development of methods, algorithms and processing systems, coding and analysis of images and sound research in multimodal biometric systems and systems using human-computer interface. The staff of the S & R lab has worked on 5 projects related with the topic of Face Emotion Recognition. Collective efforts are focused primarily on the development of methods and algorithms for 2D and 3D Face detection, extraction of feature vectors of individual faces in the subspaces (PCA, ICA, LDA, spectral regression SR) and application of combined classifiers in the recognition stage. 

Combined structures of neural network classifiers are developed based on radial basis function neural networks, convolutional neural networks and support vector machines. The phase of segmentation of human faces is determined by using a combined method using the color of the skin, modeled with 2D and 3D histograms and Gaussian mixture models. The geometric information about the shape and the main facial components - mouth, eyes and nose it is done with the verification using convolutional neural network. The team has created an algorithm for managing screen menus with gaze tracking. The study involved seven graduate students from the Faculty of Telecommunications. On the topic Face Emotion Recognition in the past five years have been published more than 40 articles in prestigious journals and scientific conferences.

Key clients and/or partners


Information Technologies

Research and development