Browsing NTNU Open by Author "Danelakis, Antonios"
Now showing items 1-11 of 11
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3D Face Reconstruction Based On a Single Input Image
Kwon, Yong Bin (Master thesis, 2021)Dette prosjektet har som mål å rekonstruere et 3D ansikt fra et bilde, noe som resulterer i en modell som ikke er påvirket av ansiktsvinkel eller lys. Dette er et viktig tema for forskjellige fagfelt innenfor datasyn---slik ... -
3D Face Reconstruction Using Facial Image Sequences
Thomassen, Sindre (Master thesis, 2022)Etterhvert som 3D ansikts rekonstruksjon utvikler seg er det en trend som tilsynelatende g ̊ar igjen. Rekonstruksjon blir stort sett gjort ved bruk av ett enkelt bilde, eller et lavt fast antall bilder som input. Dette ... -
3D face tracking using Geometric Deep Learning
Stamland, Kristian (Master thesis, 2021)Fjessporing er et aktivt forskningsemne, spesielt etter at dyplæring og konvulsjons neurale nettverk kom på banen. Den aktive forskningen forholder seg for det meste til 2D bilder og videoer. Denne avhandlingen ser på ... -
3D Facial Reconstruction from Front and Side Images
Lium, Ola (Master thesis, 2020)Å kunne rekonstruere 3D modeller av ansikter fra 2D bilder er nyttig innenfor biometrisk ansiktsgjenkjenning. Nylige fremskritt innen datasyn og dyp læring har muliggjort bruk av nevralenettverk for å generere ... -
Action unit detection in 3D facial videos with application in facial expression retrieval and recognition
Danelakis, Antonios; Theoharis, Theoharis; Pratikakis, Ioannis (Journal article; Peer reviewed, 2018)This work introduces a new scheme for action unit detection in 3D facial videos. Sets of features that define action unit activation in a robust manner are proposed. These features are computed based on eight detected ... -
Cross-time registration of 3D point clouds
Saiti, Evdokia; Danelakis, Antonios; Theoharis, Theoharis (Peer reviewed; Journal article, 2021)Registration is a ubiquitous operation in visual computing and constitutes an important pre-processing step for operations such as 3D object reconstruction, retrieval and recognition. Particularly in cultural heritage (CH) ... -
Effective Descriptors for Human Action Retrieval from 3D Mesh Sequences
Veinidis, Christos; Danelakis, Antonios; Pratikakis, Ioannis; Theoharis, Theoharis (Journal article; Peer reviewed, 2019)Two novel methods for fully unsupervised human action retrieval using 3D mesh sequences are presented. The first achieves high accuracy but is suitable for sequences consisting of clean meshes, such as artificial sequences ... -
Image-based Somatotype as a Biometric Trait for Non-Collaborative Person Recognition at a Distance and On-The-Move
Danelakis, Antonios; Theoharis, Theoharis (Peer reviewed; Journal article, 2020)It has recently been shown in Re-Identification (Re-ID) work that full-body images of people reveal their somatotype, even after change in apparel. A significant advantage of this biometric trait is that it can easily be ... -
Mesh-based 3D face recognition using Geometric Deep learning
Wardeberg, Håkon (Master thesis, 2021)Face recognition has been a very active and challenging task in the Computer Vision field. Performing face recognition based on facial images can be tricky since images are illumination, scale, and pose variant. On the ... -
Robust 3D Face Reconstruction Using One/Two Facial Images
Lium, Ola; Kwon, Yong Bin; Danelakis, Antonios; Theoharis, Theoharis (Peer reviewed; Journal article, 2021)Being able to robustly reconstruct 3D faces from 2D images is a topic of pivotal importance for a variety of computer vision branches, such as face analysis and face recognition, whose applications are steadily growing. ... -
Survey of automated multiple sclerosis lesion segmentation techniques on magnetic resonance imaging
Danelakis, Antonios; Theoharis, Theoharis; Verganelakis, Dimitrios A (Journal article; Peer reviewed, 2018)Multiple sclerosis (MS) is a chronic disease. It affects the central nervous system and its clinical manifestation can variate. Magnetic Resonance Imaging (MRI) is often used to detect, characterize and quantify MS lesions ...