• Exploring ROI size in deep learning based lipreading 

      Koumparoulis A., Potamianos G., Mroueh Y., Rennie S.J. (2017)
      Automatic speechreading systems have increasingly exploited deep learning advances, resulting in dramatic gains over traditional methods. State-of-the-art systems typically employ convolutional neural networks (CNNs), ...
    • Facial Expression Recognition Using Adaptive Neuro-fuzzy Inference Systems 

      Perikos I., Paraskevas M., Hatzilygeroudis I. (2018)
      Facial expressions form a universal language of emotions, which can instantly express a wide range of emotional states and feelings. The analysis of facial expressions and the accurate recognition of their emotional content ...
    • A fast mobile face recognition system for android OS based on Eigenfaces decomposition 

      Doukas, C.; Maglogiannis, I. (2010)
      This paper presents a speed-optimized face recognition system designed for mobile devices. Such applications may be used in the context of pervasive and assistive computing for the support of elderly suffering from dementia ...
    • Fingerspelled alphabet sign recognition in upper-body videos 

      Papadimitriou K., Potamianos G. (2019)
      Fingerspelling is a crucial part of sign-based communication, however its recognition remains a challenging and mostly overlooked computer vision problem. To address it, this paper presents a system that recognizes the 24 ...
    • Geodesically-corrected Zernike descriptors for pose recognition in omni-directional images 

      Delibasis K.K., Georgakopoulos S.V., Kottari K., Plagianakos V.P., Maglogiannis I. (2016)
      A significant number of Computer Vision and Artificial Intelligence applications are based on descriptors that are extracted from segmented objects. One widely used class of such descriptors are the invariant moments, with ...
    • A Hybrid Approach to Hand Detection and Type Classification in Upper-Body Videos 

      Papadimitriou K., Potamianos G. (2019)
      Detection of hands in videos and their classification into left and right types are crucial in various human-computer interaction and data mining systems. A variety of effective deep learning methods have been proposed for ...
    • Improved Face Detector on Fisheye Images via Spherical-Domain Attention 

      Miao J., Liu Y., Liu J., Argyriou A., Xu Z., Han Y. (2021)
      As one type of omnidirectional projection, fisheye images have been widely used in automatic driving and visual surveillance. However, they cannot be processed well by the traditional algorithms designed for the planar ...
    • Speed optimized face recognition on mobile devices using Eigenfaces decomposition 

      Doukas, C.; Maglogiannis, M. (2010)
      Face recognition on mobile devices can be utilized for security applications (e.g., user authentication) or in the context of pervasive and assistive computing for the support of elderly suffering from dementia in recognizing ...
    • Video-Based Eye Blink Identification and Classification 

      Nousias G., Panagiotopoulou E.-K., Delibasis K., Chaliasou A.-M., Tzounakou A.-M., Labiris G. (2022)
      Blink detection and classification can provide a very useful clinical indicator, because of its relation with many neurological and ophthalmological conditions. In this work, we propose a system that automatically detects ...