An investigation into web-based panoramic video virtual reality with reference to the virtual zoo.

Panoramic image Virtual Reality (VR) is a 360 degree image which has been interpreted as a kind of VR that allows users to navigate, view, hear and have remote access to a virtual environment. Panoramic Video VR builds on this, where filming is done in the real world to create a highly dynamic and immersive environment. This is proving to be a very attractive technology and has introduced many possible applications but still present a number of challenges, considered in this research. An initial literature survey identified limitations in panoramic video to date: these were the technology (e.g. filming and stitching) and the design of effective navigation methods. In particular, there is a tendency for users to become disoriented during way-finding. In addition, an effective interface design to embed contextual information is required. The research identified the need to have a controllable test environment in order to evaluate the production of the video and the optimal way of presenting and navigating within the scene. Computer Graphics (CG) simulation scenes were developed to establish a method of capturing, editing and stitching the video under controlled conditions. In addition, a novel navigation method, named the “image channel” was proposed and integrated within this environment. This replaced hotspots: the traditional navigational jumps between locations. Initial user testing indicated that the production was appropriate and did significantly improve user perception of position and orientation over jump-based navigation. The interface design combined with the environment view alone was sufficient for users to understand their location without the need to augment the view with an on screen map. After obtaining optimal methods in building and improving the technology, the research looked for a natural, complex, and dynamic real environment for testing. The web-based virtual zoo (World Association of Zoos and Aquariums) was selected as an ideal production: It had the purpose to allow people to get close to animals in their natural habitat and created particular interest to develop a system for knowledge delivery, raising protection concerns, and entertaining visitors: all key roles of a zoo. The design method established from CG was then used to develop a film rig and production unit for filming a real animal habitat: the Formosan rock monkey in Taiwan. A web-based panoramic video of this was built and tested though user experience testing and expert interviews. The results of this were essentially identical to the testing done in the prototype environment, and validated the production. Also was successfully attracting users to the site repeatedly. The research has contributed to new knowledge in improvement to the production process, improvement to presentation and navigating within panoramic videos through the proposed Image Channel method, and has demonstrated that web-based virtual zoo can be improved to help address considerable pressure on animal extinction and animal habitat degradation that affect humans by using this technology. Further studies were addressed. The research was sponsored by Taiwan’s Government and Twycross Zoo UK was a collaborator

Multiple-View Scenes: Reconstruction and Virtual Views

The problem of generating a virtual view of a scene, i.e. a view from a point where there is not a physical camera to capture the scene, has received recently a lot of attention from the computer vision community. This is probably due to the increase of the computational power of computers, which allows to deal with multiple view systems (systems composed of multiple cameras) efficiently. In this document, an introduction to virtual view generation techniques is presented. In a first part, geometric constraints of multiple view systems are presented. This geometric constraints allow to reconstruct the 3D information of the observed scene, and therefore they allow to generate virtual views from everywhere (although problems with occlusions will arise). In the second part of the document, the state-of-the-art on Image Based Rendering (IBR) techniques is presented. IBR techniques allow to generate virtual views from some constrained regions of the space without requiring a complete 3D reconstruction of the scene. To finish, some concussions are given

Multiple-View Scenes: Reconstruction and Virtual Views

The problem of generating a virtual view of a scene, i.e. a view from a point where there is not a physical camera to capture the scene, has received recently a lot of attention from the computer vision community. This is probably due to the increase of the computational power of computers, which allows to deal with multiple view systems (systems composed of multiple cameras) efficiently. In this document, an introduction to virtual view generation techniques is presented. In a first part, geometric constraints of multiple view systems are presented. This geometric constraints allow to reconstruct the 3D information of the observed scene, and therefore they allow to generate virtual views from everywhere (although problems with occlusions will arise). In the second part of the document, the state-of-the-art on Image Based Rendering (IBR) techniques is presented. IBR techniques allow to generate virtual views from some constrained regions of the space without requiring a complete 3D reconstruction of the scene. To finish, some concussions are given

Spatially Aware Computing for Natural Interaction

Spatial information refers to the location of an object in a physical or digital world. Besides, it also includes the relative position of an object related to other objects around it. In this dissertation, three systems are designed and developed. All of them apply spatial information in different fields. The ultimate goal is to increase the user friendliness and efficiency in those applications by utilizing spatial information. The first system is a novel Web page data extraction application, which takes advantage of 2D spatial information to discover structured records from a Web page. The extracted information is useful to re-organize the layout of a Web page to fit mobile browsing. The second application utilizes the 3D spatial information of a mobile device within a large paper-based workspace to implement interactive paper that combines the merits of paper documents and mobile devices. This application can overlay digital information on top of a paper document based on the location of a mobile device within a workspace. The third application further integrates 3D space information with sound detection to realize an automatic camera management system. This application automatically controls multiple cameras in a conference room, and creates an engaging video by intelligently switching camera shots among meeting participants based on their activities. Evaluations have been made on all three applications, and the results are promising. In summary, this dissertation comprehensively explores the usage of spatial information in various applications to improve the usability

Implementation of a distributed real-time video panorama pipeline for creating high quality virtual views

Today, we are continuously looking for more immersive video systems. Such systems, however, require more content, which can be costly to produce. A full panorama, covering regions of interest, can contain all the information required, but can be difficult to view in its entirety. In this thesis, we discuss a method for creating virtual views from a cylindrical panorama, allowing multiple users to create individual virtual cameras from the same panorama video. We discuss how this method can be used for video delivery, but emphasize on the creation of the initial panorama. The panorama must be created in real-time, and with very high quality. We design and implement a prototype recording pipeline, installed at a soccer stadium, as a part of the Bagadus project. We describe a pipeline capable of producing 4K panorama videos from five HD cameras, in real-time, with possibilities for further upscaling. We explain how the cylindrical panorama can be created, with minimal computational cost and without visible seams. The cameras of our prototype system record video in the incomplete Bayer format, and we also investigate which debayering algorithms are best suited for recording multiple high resolution video streams in real-time

Omnidirectional Light Field Analysis and Reconstruction

Digital photography exists since 1975, when Steven Sasson attempted to build the first digital camera. Since then the concept of digital camera did not evolve much: an optical lens concentrates light rays onto a focal plane where a planar photosensitive array transforms the light intensity into an electric signal. During the last decade a new way of conceiving digital photography emerged: a photography is the acquisition of the entire light ray field in a confined region of space. The main implication of this new concept is that a digital camera does not acquire a 2-D signal anymore, but a 5-D signal in general. Acquiring an image becomes more demanding in terms of memory and processing power; at the same time, it offers the users a new set of possibilities, like choosing dynamically the focal plane and the depth of field of the final digital photo. In this thesis we develop a complete mathematical framework to acquire and then reconstruct the omnidirectional light field around an observer. We also propose the design of a digital light field camera system, which is composed by several pinhole cameras distributed around a sphere. The choice is not casual, as we take inspiration from something already seen in nature: the compound eyes of common terrestrial and flying insects like the house fly. In the first part of the thesis we analyze the optimal sampling conditions that permit an efficient discrete representation of the continuous light field. In other words, we will give an answer to the question: how many cameras and what resolution are needed to have a good representation of the 4-D light field? Since we are dealing with an omnidirectional light field we use a spherical parametrization. The results of our analysis is that we need an irregular (i.e., not rectangular) sampling scheme to represent efficiently the light field. Then, to store the samples we use a graph structure, where each node represents a light ray and the edges encode the topology of the light field. When compared to other existing approaches our scheme has the favorable property of having a number of samples that scales smoothly for a given output resolution. The next step after the acquisition of the light field is to reconstruct a digital picture, which can be seen as a 2-D slice of the 4-D acquired light field. We interpret the reconstruction as a regularized inverse problem defined on the light field graph and obtain a solution based on a diffusion process. The proposed scheme has three main advantages when compared to the classic linear interpolation: it is robust to noise, it is computationally efficient and can be implemented in a distributed fashion. In the second part of the thesis we investigate the problem of extracting geometric information about the scene in the form of a depth map. We show that the depth information is encoded inside the light field derivatives and set up a TV-regularized inverse problem, which efficiently calculates a dense depth map of the scene while respecting the discontinuities at the boundaries of objects. The extracted depth map is used to remove visual and geometrical artifacts from the reconstruction when the light field is under-sampled. In other words, it can be used to help the reconstruction process in challenging situations. Furthermore, when the light field camera is moving temporally, we show how the depth map can be used to estimate the motion parameters between two consecutive acquisitions with a simple and effective algorithm, which does not require the computation nor the matching of features and performs only simple arithmetic operations directly in the pixel space. In the last part of the thesis, we introduce a novel omnidirectional light field camera that we call Panoptic. We obtain it by layering miniature CMOS imagers onto an hemispherical surface, which are then connected to a network of FPGAs. We show that the proposed mathematical framework is well suited to be embedded in hardware by demonstrating a real time reconstruction of an omnidirectional video stream at 25 frames per second

Enabling the Development and Implementation of Digital Twins : Proceedings of the 20th International Conference on Construction Applications of Virtual Reality

Welcome to the 20th International Conference on Construction Applications of Virtual Reality (CONVR 2020). This year we are meeting on-line due to the current Coronavirus pandemic. The overarching theme for CONVR2020 is "Enabling the development and implementation of Digital Twins". CONVR is one of the world-leading conferences in the areas of virtual reality, augmented reality and building information modelling. Each year, more than 100 participants from all around the globe meet to discuss and exchange the latest developments and applications of virtual technologies in the architectural, engineering, construction and operation industry (AECO). The conference is also known for having a unique blend of participants from both academia and industry. This year, with all the difficulties of replicating a real face to face meetings, we are carefully planning the conference to ensure that all participants have a perfect experience. We have a group of leading keynote speakers from industry and academia who are covering up to date hot topics and are enthusiastic and keen to share their knowledge with you. CONVR participants are very loyal to the conference and have attended most of the editions over the last eighteen editions. This year we are welcoming numerous first timers and we aim to help them make the most of the conference by introducing them to other participants