• 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 ...
    • A3Mark: Seismic attribute benchmarking 

      Xing, Liyuan; Aarre, Victor; Salman, Nader; Theoharis, Theoharis; Tjåland, Egil (Journal article; Peer reviewed, 2018)
      Seismic attribute computation is one of the most active research and engineering topics in the computational geophysics world. Although numerous algorithms for seismic attribute computation have been developed, relatively ...
    • 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 ...
    • Analysis and Synthesis of Rope Rosettes 

      Andersson, Sigrid Brevik (Master thesis, 2016)
      Creating rose rosettes and other similar interlace patterns is an old form of creative expression. Rope rosettes is rooted in the seafaring tradition, where they were made both for decoration, to protect the sailors from ...
    • An application independent review of multimodal 3D registration methods 

      Saiti, Evdokia; Theoharis, Theoharis (Peer reviewed; Journal article, 2020)
      Registration is a ubiquitous operation in Visual Computing, with applications in 3D object retrieval among others. Registration is the process of overlaying two or more datasets taken from different viewpoints, at different ...
    • Approximating Global Illumination with Real-Time Ambient Occlusion 

      Fedai Larsen, Daniel (Master thesis, 2019)
      Å tilnærme global illuminasjon har lenge vært et problem sanntids applikasjoner som spill har prøvd å løse effectivt. I mange år har de beste og mest effektive teknikkene vært omgivende okklusjon algortimer basert i ...
    • Automatic Fault Surfaces Extraction from Seismic Volume 

      Kjennbakken, Jon (Master thesis, 2017)
      Fault extraction is an important part of understanding geologic structures in 3D seismic images. Manual fault interpretation is very time consuming so automation of this process is very desirable. Snakes/active contours ...
    • Automatic Fish Classification: Using Image Processing and Case-Based Reasoning 

      Eliassen, Lars Moland (Master thesis, 2012)
      Counting and classifying fish moving upstream in rivers to spawn is a useful way of monitoring the population of different species. Today, there exist some commercial solutions, along with some research that addresses the ...
    • Background Subtraction on Real Time Point Clouds 

      Løkken, Hallgeir (Master thesis, 2020)
      Mange nyttige operasjoner på punktskyer krever mye regnekraft, og kan være sårbar mot støy. Denne avhandlingen setter frem en enkel systemarkitektur som kan huse forskjellige strategier for bakgrunnssubtraksjon som kan ...
    • Biometrical Identification and Feature Investigation of Salmon 

      Echtermeyer, Christian Hans-Pieter Kat (Master thesis, 2020)
      Prikker danner unike mønster på mange forskjellige arter i dyreriket og har blitt brukt i kombinasjon med datasyn til å identifisere individer. I denne oppgaven beskrives prosessen av å skape en identifikasjonspipeline for ...
    • Comparing Datasets From Consecutively 3D-Scanned Objects 

      Solstad, Kim Rune (Master thesis, 2015)
      Develop a technique for measuring erosion using 3D-scans.
    • Comparison of Large Surfaces from Scanned 3-D Objects 

      Kazakauskas, Vilius (Master thesis, 2014)
      Registration of three-dimensional objects has vast applications in many areas of science. This research is linked to the international PRESIOUS project, concerning measurement of erosion effects on cultural heritage objects. ...
    • 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) ...
    • Deep Learning on 3D Feature Descriptors 

      Puente, Philip Øygarden (Master thesis, 2020)
      I de siste årene har 3D-figur data blitt lettere å få tak i, delvis grunnet kommersielle sensorer og utbredt bruk av 3D-printere. Det er derfor ønskelig å ta i bruk dyp-læringsmetoder, som har vist seg å være anvendbare ...
    • Deep Visual Domain Adaptation: - From Synthetic Data to the Real World 

      Reiersen, Magnus (Master thesis, 2018)
      In the field of computer vision, the increasing use of convolutional neural networks (CNN) fuels the need for more and more labeled training data. Synthetic data generated from computer graphics represent an alternative ...
    • Denoising Algorithms for Ray Tracing in Real-Time Applications 

      Flatval, Håkon (Master thesis, 2020)
      Ray tracing er en bildegjengivelsesteknikk som inntil nylig var avskrevet som for beregningstung for sanntidsapplikasjoner. Teknologiske fremskritt innen grafikkmaskinvare har gjort teknikken mulig å bruke i sanntid, men ...
    • 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 ...
    • Ensemble of PANORAMA-based convolutional neural networks for 3D model classification and retrieval 

      Sfikas, Konstantinos; Pratikakis, Ioannis; Theoharis, Theoharis (Journal article; Peer reviewed, 2018)
      A novel method for the classification and retrieval of 3D models is proposed; it exploits the 2D panoramic view representation of 3D models as input to an ensemble of convolutional neural networks which automatically compute ...
    • Fast and accurate GPU accelerated, high resolution 3D registration for robotic 3D reconstruction of compliant Food objects 

      Isachsen, Ulrich Johan; Theoharis, Theoharis; Misimi, Ekrem (Peer reviewed; Journal article, 2020)
      If we are to develop robust robot-based automation in primary production and processing in the agriculture and ocean space sectors, we have to develop solid vision-based perception for the robots. Accurate vision-based ...
    • Forfatting og Prosedyrisk Modellering av Terreng og Landdekke med cGANs 

      Lystrup, Asbjørn Fintland (Master thesis, 2019)
      Modellering av virtuelle landskap kan være en utfordrende og tidkrevende prosess som ofte mangler god brukerkontroll, både for menneskeforfattere og for prosedyriske modelleringsmetoder. Jeg presenterer en metode for å ...