University of Twente Student Theses
Detection and Segmentation to locate and identify objects of interest and eye movement patterns in VR art exhibitions
Usta, Batuhan (2024) Detection and Segmentation to locate and identify objects of interest and eye movement patterns in VR art exhibitions.
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| Abstract: | Virtual Reality (VR) integration has gained momentum in today’s technological era, especially in museums, aiming to enhance visitor engagement. Identifying the objects that interest visitors and based on these interests providing information to engage with visitors in VR environments, particularly in art museums, poses challenges. This paper proposes leveraging deep learning models, particularly object detection models incorporated with segmentation models, to accurately detect and locate objects in paintings within VR environments to identify objects of interest. This research contributes to advancing VR applications in art museums and potentially other sectors requiring accurate object detection in immersive environments. Additionally, the study explores methods for comparing pixel locations of segmented sections with the eye gaze information gathered from the VR environment to obtain the patterns of the visitor’s eye movements. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/100819 |
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