Now showing items 1-10 of 15
Going deeper in hidden sadness recognition using spontaneous micro expressions database
Recognition of facial micro-expressions (MEs), which indicates conscious or unconscious suppressing of true emotions, is still a challenging task in the affective computing and computer vision. There are two main reasons ...
Automatic speech based emotion recognition using paralinguistics features
(POLSKA AKAD NAUK, 2019)
Affective computing studies and develops systems capable of detecting humans affects. The search for universal well-performing features for speech-based emotion recognition is ongoing. In this paper, a small set of features ...
Privacy-constrained biometric system for non-cooperative users
(MDPI AG, 2019-11-01)
With the consolidation of the new data protection regulation paradigm for each individual within the European Union (EU), major biometric technologies are now confronted with many concerns related to user privacy in biometric ...
A novel deep network architecture for reconstructing RGB facial images from thermal for face recognition
This work proposes a fully convolutional network architecture for RGB face image generation from a given input thermal face image to be applied in face recognition scenarios. The proposed method is based on the FusionNet ...
Correction to: Optimal image compression via block-based adaptive colour reduction with minimal contour effect (Multimedia Tools and Applications, (2018), 77, 23, (30939-30968), 10.1007/s11042-018-6118-y)
After the publication of this work , it was noticed that the co-author Pejman Rasti was omitted as the first author following an institutional investigation. The first author’s name is inserted in this erratum article.
Virtual Reality and Its Applications in Education: Survey
In the education process, students face problems with understanding due to the complexity, necessity of abstract thinking and concepts. More and more educational centres around the world have started to introduce powerful ...
Audio-Visual Emotion Recognition in Video Clips
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019-01)
This paper presents a multimodal emotion recognition system, which is based on the analysis of audio and visual cues. From the audio channel, Mel-Frequency Cepstral Coefficients, Filter Bank Energies and prosodic features ...
Guest editorial: special issue on human abnormal behavioural analysis
(Springer Verlag, 2019-07-01)
Action Recognition Using Single-Pixel Time-of-Flight Detection
Action recognition is a challenging task that plays an important role in many robotic systems, which highly depend on visual input feeds. However, due to privacy concerns, it is important to find a method which can recognise ...
From 2D to 3D geodesic-based garment matching
A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture models and thin plate splines (TPS). An automatically segmented garment of an individual is matched to a new source garment and rendered, ...