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Diplomsko delo zajema opis izdelave aplikacije, namenjene promociji turističnih znamenitosti z uporabo tehnologij navidezne resničnosti. Za realizacijo aplikacije je bilo potrebno zajeti vsesmerne video posnetke, tako da je v nalogi obravnavana tudi tehnologija 360-stopinjskih video posnetkov. Za interakcijo z navideznim svetom obstaja več različnih načinov, pri čemer sta v diplomski nalogi vključena dva. Izveden je bil eksperiment na podlagi katerega so bili pridobljeni rezultati za analizo implementiranih in razvoj morebitnih ustreznejših načinov interakcije. Ob razvoju aplikacije so se pojavile nove ideje o dejanski uporabi aplikacije na področju turizma. V teoretičnem delu diplomske naloge je opravljen pregled zgodovine tehnologije navidezne resničnosti, pregled naprav za prikaz navidezne resničnosti in splošno delovanje tehnologije navidezne resničnosti. Poleg tega je opisana tudi tehnologija vsesmernih video posnetkov in naprav za zajem le-teh. V praktičnem delu je opisan postopek izdelave aplikacije in implementacija načinov interaktivnosti. V zadnjem delu je predstavljen eksperiment in interpretacija rezultatov. The thesis describes the development of an application designed to promote tourist attractions through the use of virtual reality technologies. In order to implement the application, it is absolutely necessary to capture omnidirectional videos, which is why the technology that is used to produce 360-degree videos is also described in the thesis. There are several different ways to interact with the virtual environment. The thesis includes the implementation of two. An experiment was carried out, the results of which were supposed to give feedback on which way of interacting would be the most appropriate. During the development process, an idea of using the application in the field of tourism was formed. In the theoretical part of the thesis, there is an overview of the history of the virtual reality technology, an overview of the devices that are used to display the virtual environment, as well as the overall operation of the virtual reality technology. Besides that, there is also a description of the omnidirectional video technology and the devices that are used to produce these videos. The practical part describes the development process of the application and the implementation of interactivity methods. The last part presents the experiment and includes the interpretation of the results.

Viewing 360° videos on a head-mounted display (HMD) can be an immersive experience. However, viewers must often be guided, as the freedom to rotate the view may make them miss things. We explore a unique, automatic approach to this problem with dynamic guidance methods called social indicators. They use the viewers’ gaze data to recognize popular areas in 360° videos, which are then visualized to subsequent viewers. We developed and evaluated two different social indicators in a 30-participant user study. Although the indicators show great potential in subtly guiding users and improving the experience, finding the balance between guidance and self-exploration is vital. Also, users had varying interest towards indicators that represented a larger audience but reported a clear desire to use the indicators with their friends. We also present guidelines for providing dynamic guidance for 360° videos.

360° videos can be viewed in an immersive manner with a head-mounted display (HMD). However, it is unclear how the viewing experience is affected by basic properties of 360° videos, such as how high they are recorded from, and whether there are people close to the camera. We conducted a 24-participant user study where we explored whether the viewing experience is affected by A) camera height, B) the proximity and actions of people appearing in the videos, and C) viewer position (standing/sitting). The results, surprisingly, suggest that the viewer's own height has little to no effect on the preferred camera height and the experience. The most optimal camera height situates at around 150 centimeters, which hits the comfortable height range for both sitting and standing viewers. Moreover, in some cases, people being close to the camera, or the camera being very low, has a negative effect on the experience. Our work contributes to understanding and designing immersive 360° experiences.

Visual distortions in processed 360-degree visual content and consumed through head-mounted displays (HMDs) are perceived very differently when compared to traditional 2D content. To better understand how compression-related artifacts affect the overall perceived quality of 360-degree videos, this paper presents a subjective quality assessment study and analyzes the performance of objective metrics to correlate with the gathered subjective scores. In contrast to previous related work, the pro- posed study focuses on the equiangular cubemap projection and includes specific visual distortions (blur, blockiness, H.264 compression, and cubemap seams) on both monoscopic and stereoscopic sequences. The objective metrics performance analysis is based on metrics computed in both the projection domain and the viewports, which is closer to what the user sees. The results show that overall objective metrics computed on viewports are more correlated with the subjective scores in our dataset than the same metrics computed in the projection domain. Moreover, the proposed dataset and objective metrics analysis serve as a bench- mark for the development of new perception-optimized quality assessment algorithms for 360-degree videos, which is still a largely open research problem.

This paper describes a method for constructing feature landmark database using omnidirectional videos and GPS positions acquired in outdoor environments. The feature landmark database is used to estimate camera positions and postures for various applications such as augmented reality systems and self-localization of robots and automobiles. We have already proposed a camera position and posture estimation method using landmark database that stores 3D positions of sparse feature points with their view-dependent image templates. For large environments, the cost for construction of landmark database is high because conventional 3-D reconstruction methods requires measuring some absolute positions of feature points manually to suppress accumulative estimation errors in structure-from-motion process. To achieve automatic construction of landmark database for large outdoor environments, we newly propose a method that constructs database without manual specification of features using omnidirectional videos and GPS positions., 3DIM 2007 : 6th International Conference on 3-D Digital Imaging and Modeling , Aug 21-23, 2007 , Montreal, Quebec, Canada