Browsing by Author "Avots, Egils"
Now showing items 1-13 of 13
-
Action Recognition Using Single-Pixel Time-of-Flight Detection
Anbarjafari, Gholamreza; Ofodile, Ikechukwu; Helmi, Ahmed; Clapes, Albert; Avots, Egils; Peensoo, Kerttu Maria; Valdma, Sandhra-Mirella; Valdmann, Andreas; Valtna-Lukner, Heli; Omelkov, Sergey; Escalera, Sergio; Ozcinar, Cagri (MDPI, 2019-04)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 ... -
Automatic access control based on face and hand biometrics in a non-cooperative context
Jahromi, Mohammad N.S.; Bonderup, Morten Bojesen; Asadi-Aghbolaghi, Maryam; Avots, Egils; Nasrollahi, Kamal; Escalera, Sérgio; Moeslund, Thomas Baltzer; Kasaei, Shohreh; Anbarjafari, Gholamreza (Institute of Electrical and Electronics Engineers Inc., 2018)Automatic access control systems (ACS) based on the human biometrics or physical tokens are widely employed in public and private areas. Yet these systems, in their conventional forms, are restricted to active interaction ... -
Automatic garment retexturing based on infrared information
Anbarjafari, Gholamreza; Avots, Egils; Daneshmand, Morteza; Traumann, Andres; Escalera, Sergio (PERGAMON-ELSEVIER SCIENCE LTD, 2016-10)This paper introduces a new automatic technique for garment retexturing using a single static image along with the depth and infrared information obtained using the Microsoft Kinect II as the RGB-D acquisition device. ... -
Dominant and Complementary Emotion Recognition From Still Images of Faces
Anbarjafari, Gholamreza; Guo, Jianzhu; Lei, Zhen; Wan, Jun; Avots, Egils; Hajarolasvadi, Noushin; Knyazev, Boris; Kuharenko, Artem; Silveira Jacques Junior, Julio C.; Baro, Xavier; Demirel, Hasan; Escalera, Sergio; Allik, Jueri (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018)Emotion recognition has a key role in affective computing. Recently, fine-grained emotion analysis, such as compound facial expression of emotions, has attracted high interest of researchers working on affective computing. ... -
Ensemble Approach for Detection of Depression Using EEG Features
Avots, Egils; Jermakovs, Klavs; Bachmann, Maie; Paeske, Laura; Ozcinar, Cagri; Anbarjafari, Gholamreza (MDPI, FEB 2022)Depression is a public health issue that severely affects one's well being and can cause negative social and economic effects to society. To raise awareness of these problems, this research aims at determining whether the ... -
From 2D to 3D geodesic-based garment matching
Anbarjafari, Gholamreza; Avots, Egils; Madadi, Meysam; Escalera, Sergio; Gonzalez, Jordi; Baro, Xavier; Pallin, Paul (Springer, 2019-09)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, ... -
From apparent to real age: Gender, age, ethnic, makeup, and expression bias analysis in real age estimation
Clapes, Albert; Anbarjafari, Gholamreza; Bilici, Ozan; Temirova, Dariia; Avots, Egils; Escalera, Sergio (IEEE Computer Society, 2018-12-13)Real age estimation in still images of faces is an active area of research in the computer vision community. However, very few works attempted to analyse the apparent age as perceived by observers. Apparent age estimation ... -
A new kernel development algorithm for edge detection using singular value ratios
Anbarjafari, Gholamreza; Avots, Egils; Arslan, Hasan Said; Valgma, Lembit; Gorbova, Jelena (SPRINGER LONDON LTD, 2018-10)The perceptual quality of an image is very sensitive to the degradation of the edge information which is usually caused by many video signal applications such as super-resolution and denoising. Hence, it is very important ... -
Privacy-constrained biometric system for non-cooperative users
Jahromi, Mohammad Nejati Sabet; Buch-Cardona, Pau; Avots, Egils; Nasrollahi, Kamal; Escalera, Sérgio; Moeslund, Thomas Baltzer; Anbarjafari, Gholamreza (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 ... -
Proportional Error Back-Propagation (PEB): Real-Time Automatic Loop Closure Correction for Maintaining Global Consistency in 3D Reconstruction with Minimal Computational Cost
Anbarjafari, Gholamreza; Daneshmand, Morteza; Avots, Egils (DE GRUYTER POLAND SP ZOO, 2018-06)This paper introduces a robust, real-time loop closure correction technique for achieving global consistency in 3D reconstruction, whose underlying notion is to back-propagate the cumulative transformation error appearing ... -
Ungulate Detection and Species Classification from Camera Trap Images Using RetinaNet and Faster R-CNN
Vecvanags, Alekss; Aktas, Kadir; Pavlovs, Ilja; Avots, Egils; Filipovs, Jevgenijs; Brauns, Agris; Done, Gundega; Jakovels, Dainis; Anbarjafari, Gholamreza (MDPI, MAR 2022)Changes in the ungulate population density in the wild has impacts on both the wildlife and human society. In order to control the ungulate population movement, monitoring systems such as camera trap networks have been ... -
Virtual Reality and Its Applications in Education: Survey
Anbarjafari, Gholamreza; Kaminska, Dorota; Sapinski, Tomasz; Wiak, Slawomir; Tikk, Toomas; Haamer, Rain Eric; Avots, Egils; Helmi, Ahmed; Ozcinar, Cagri (MDPI, 2019-10)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 ... -
Volumetric Histogram-Based Alzheimer's Disease Detection Using Support Vector Machine
Elshatoury, Heba; Avots, Egils; Anbarjafari, Gholamreza (NLM (Medline), 2019)In this research work, machine learning techniques are used to classify magnetic resonance imaging brain scans of people with Alzheimer's disease. This work deals with binary classification between Alzheimer's disease and ...
