66 research outputs found
Design of Immersive Online Hotel Walkthrough System Using Image-Based (Concentric Mosaics) Rendering
Conventional hotel booking websites only represents their services in 2D photos to show
their facilities. 2D photos are just static photos that cannot be move and rotate. Imagebased
virtual walkthrough for the hospitality industry is a potential technology to attract
more customers. In this project, a research will be carried out to create an Image-based
rendering (IBR) virtual walkthrough and panoramic-based walkthrough by using only
Macromedia Flash Professional 8, Photovista Panorama 3.0 and Reality Studio for the
interaction of the images. The web-based of the image-based are using the Macromedia
Dreamweaver Professional 8. The images will be displayed in Adobe Flash Player 8 or
higher. In making image-based walkthrough, a concentric mosaic technique is used
while image mosaicing technique is applied in panoramic-based walkthrough. A
comparison of the both walkthrough is compared. The study is also focus on the
comparison between number of pictures and smoothness of the walkthrough. There are
advantages of using different techniques such as image-based walkthrough is a real time
walkthrough since the user can walk around right, left, forward and backward whereas
the panoramic-based cannot experience real time walkthrough because the user can only
view 360 degrees from a fixed spot
Emerging Technologies in Architectural Visualization: Implementation Strategies for Practice
Representation has always been a critical component in architectural practice and representational techniques have been evolving over time. The relatively recent advent of the digital media is revolutionizing architectural representation. Digital representation techniques are proving to be a more effective means of communicating the design to the client and the collaborative project team. The techniques are advancing so rapidly that it is becoming increasingly difficult to keep in pace with the digital acceleration and utilize these representation techniques in architectural practice. There is a wide difference between what is possible using digital architectural visualization and what is implemented in practice. The research explores the extent of utilization of these digital representation techniques and the challenges they pose in practical implementation. Employing a logical approach to selectively implement this digital procedural change in representation would help in realizing the strategic benefits of these rapidly progressing techniques
"Click = Kill": textual you in ludic digital fiction
This article offers a close-reading of geniwate's and Deena Larsen’s satirical, ludic Flash fiction The Princess Murderer, with a specific focus on how the text implements second person narration and other forms of the textual "you" in juxtaposition with other narrational stances. We aim to explore the extent to which print-based narratological theories of the textual you apply to the text under investigation, and to outline new directions for research arising from the text's distinct (inter-)medial, literary/reflexive, and ludic qualities. Of particular interest will be the ways in which the reader and his/her role in the cybernetic feedback loop are constructed textually and interactionally. Specifically, we argue that current approaches to the "you" in digital fiction need to be expanded, particularly with respect to its metafictional potential
Design of Immersive Online Hotel Walkthrough System Using Image-Based (Concentric Mosaics) Rendering
Conventional hotel booking websites only represents their services in 2D photos to show
their facilities. 2D photos are just static photos that cannot be move and rotate. Imagebased
virtual walkthrough for the hospitality industry is a potential technology to attract
more customers. In this project, a research will be carried out to create an Image-based
rendering (IBR) virtual walkthrough and panoramic-based walkthrough by using only
Macromedia Flash Professional 8, Photovista Panorama 3.0 and Reality Studio for the
interaction of the images. The web-based of the image-based are using the Macromedia
Dreamweaver Professional 8. The images will be displayed in Adobe Flash Player 8 or
higher. In making image-based walkthrough, a concentric mosaic technique is used
while image mosaicing technique is applied in panoramic-based walkthrough. A
comparison of the both walkthrough is compared. The study is also focus on the
comparison between number of pictures and smoothness of the walkthrough. There are
advantages of using different techniques such as image-based walkthrough is a real time
walkthrough since the user can walk around right, left, forward and backward whereas
the panoramic-based cannot experience real time walkthrough because the user can only
view 360 degrees from a fixed spot
Colour videos with depth : acquisition, processing and evaluation
The human visual system lets us perceive the world around us in three dimensions
by integrating evidence from depth cues into a coherent visual model of the world. The equivalent in computer vision and computer graphics are geometric models,
which provide a wealth of information about represented objects, such as depth and
surface normals. Videos do not contain this information, but only provide per-pixel
colour information. In this dissertation, I hence investigate a combination of videos
and geometric models: videos with per-pixel depth (also known as
RGBZ videos).
I consider the full life cycle of these videos: from their acquisition, via filtering and
processing, to stereoscopic display.
I propose two approaches to capture videos with depth. The first is a spatiotemporal
stereo matching approach based on the dual-cross-bilateral grid – a novel real-time
technique derived by accelerating a reformulation of an existing stereo matching
approach. This is the basis for an extension which incorporates temporal evidence in
real time, resulting in increased temporal coherence of disparity maps – particularly
in the presence of image noise.
The second acquisition approach is a sensor fusion system which combines data
from a noisy, low-resolution time-of-flight camera and a high-resolution colour
video camera into a coherent, noise-free video with depth. The system consists
of a three-step pipeline that aligns the video streams, efficiently removes and fills
invalid and noisy geometry, and finally uses a spatiotemporal filter to increase the
spatial resolution of the depth data and strongly reduce depth measurement noise.
I show that these videos with depth empower a range of video processing effects
that are not achievable using colour video alone. These effects critically rely on the
geometric information, like a proposed video relighting technique which requires
high-quality surface normals to produce plausible results. In addition, I demonstrate
enhanced non-photorealistic rendering techniques and the ability to synthesise
stereoscopic videos, which allows these effects to be applied stereoscopically.
These stereoscopic renderings inspired me to study stereoscopic viewing discomfort.
The result of this is a surprisingly simple computational model that predicts the
visual comfort of stereoscopic images. I validated this model using a perceptual
study, which showed that it correlates strongly with human comfort ratings. This
makes it ideal for automatic comfort assessment, without the need for costly and
lengthy perceptual studies
Filtering Techniques for Low-Noise Previews of Interactive Stochastic Ray Tracing
Progressive stochastic ray tracing is increasingly used in interactive applications.
Examples of such applications are interactive design reviews and digital content creation.
This dissertation aims at advancing this development.
For one thing, two filtering techniques are presented, which can generate fast and reliable previews of global illumination solutions.
For another thing, a system architecture is presented, which supports exchangeable rendering back-ends in distributed rendering systems
The impact of 3D virtual environments with different levels of realism on route learning: a focus on age-based differences
With technological advancements, it has become notably easier to create virtual environments (VEs) depicting the real world with high fidelity and realism. These VEs offer some attractive use cases for navigation studies looking into spatial cognition. However, such photorealistic VEs, while attractive, may complicate the route learning process as they may overwhelm users with the amount of information they contain. Understanding how much and what kind of photorealistic information is relevant to people at which point on their route and while they are learning a route can help define how to design virtual environments that better support spatial learning. Among the users who may be overwhelmed by too much information, older adults represent a special interest group for two key reasons: 1) The number of people over 65 years old is expected to increase to 1.5 billion by 2050 (World Health Organization, 2011); 2) cognitive abilities decline as people age (Park et al., 2002). The ability to independently navigate in the real world is an important aspect of human well-being. This fact has many socio-economic implications, yet age-related cognitive decline creates difficulties for older people in learning their routes in unfamiliar environments, limiting their independence. This thesis takes a user-centered approach to the design of visualizations for assisting all people, and specifically older adults, in learning routes while navigating in a VE. Specifically, the objectives of this thesis are threefold, addressing the basic dimensions of:
âť– Visualization type as expressed by different levels of realism: Evaluate how much and what kind of photorealistic information should be depicted and where it should be represented within a VE in a navigational context. It proposes
visualization design guidelines for the design of VEs that assist users in effectively encoding visuospatial information.
âť– Use context as expressed by route recall in short- and long-term: Identify the implications that different information types (visual, spatial, and visuospatial) have over short- and long-term route recall with the use of 3D VE designs varying in levels of realism.
âť– User characteristics as expressed by group differences related to aging, spatial abilities, and memory capacity: Better understand how visuospatial information is encoded and decoded by people in different age groups, and of
different spatial and memory abilities, particularly while learning a route in 3D VE designs varying in levels of realism.
In this project, the methodology used for investigating the topics outlined above was a set of controlled lab experiments nested within one. Within this experiment, participants’ recall accuracy for various visual, spatial, and visuospatial elements on the route was evaluated using three visualization types that varied in their amount of
photorealism. These included an Abstract, a Realistic, and a Mixed VE (see Figure 2), for a number of route recall tasks relevant to navigation. The Mixed VE is termed “mixed” because it includes elements from both the Abstract and the Realistic VEs, balancing the amount of realism in a deliberate manner (elaborated in Section 3.5.2). This feature is
developed within this thesis. The tested recall tasks were differentiated based on the type of information being assessed: visual, spatial, and visuospatial (elaborated in Section 3.6.1). These tasks were performed by the participants both immediately after experiencing a drive-through of a route in the three VEs and a week after that; thus, addressing short- and long-term memory, respectively. Participants were counterbalanced for their age, gender, and expertise while their spatial abilities and visuospatial memory capacity were controlled with standardized psychological tests. The results of the experiments highlight the importance of all three investigated dimensions for successful route learning with VEs. More specifically, statistically significant differences in participants’ recall accuracy were observed for:
1) the visualization type, highlighting the value of balancing the amount of photorealistic information presented in VEs while also demonstrating the positive and negative effects of abstraction and realism in VEs on route learning;
2) the recall type, highlighting nuances and peculiarities across the recall of visual, spatial, and visuospatial information in the short- and long-term; and,
3) the user characteristics, as expressed by age differences, but also by spatial abilities and visuospatial memory capacity, highlighting the importance of considering the user type, i.e., for whom the visualization is customized.
The original and unique results identified from this work advance the knowledge in GIScience, particularly in geovisualization, from the perspective of the “cognitive design” of visualizations in two distinct ways: (i) understanding the effects that visual realism has—as presented in VEs—on route learning, specifically for people of different age
groups and with different spatial abilities and memory capacity, and (ii) proposing empirically validated visualization design guidelines for the use of photorealism in VEs for efficient recall of visuospatial information during route learning, not only for shortterm but also for long-term recall in younger and older adults
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Technological framework for ubiquitous interactions using context–aware mobile devices
This report presents research and development of dedicated system architecture, designed to enable its users to interact with each other as well as to access information on Points of Interest that exist in their immediate environment. This is accomplished through managing personal preferences and contextual information in a distributed manner and in real-time. The advantage of this system architecture is that it uses mobile devices, heterogeneous sensors and a selection of user interface paradigms to produce a sociotechnical framework to enhance the perception of the environment and promote intuitive interactions. The thrust of the work has been on software development and component integration. Iterative prototyping was adopted as a development method in order to effectively implement the users’ feedback and establish a platform for collaboration that closely meets the requirements and aids their decision-making process. The requirement acquisition was followed by the system-modelling phase in order to produce a robust software prototype. The implementation includes component-based development and extensive use of design patterns over native programming. Conclusively, the software product has become the means to evaluate differences in the use of mixed reality technologies in a ubiquitous scenario.
The prototype can query a number of context sources such as sensors, or details of the personal profile, to acquire relevant data. The data (and metadata) is stored in opensource structures, so that they are accessible at every layer of the system architecture and at any time. By proactively processing the acquired context, the system can assist the users in their tasks (e.g. navigation) without explicit input – e.g. by simply creating a gesture with the device. However, advanced interaction with the application via the user interface is available for requests that are more complex.
Representations of the real world objects, their spatial relations and other captured features of interest are visualised on scalable interfaces, ranging from 2D to 3D models and from photorealism to stylised clues and symbols. Two principal modes of operation have been implemented; one, using geo-referenced virtual reality models of the environment, updated in real time, and second, using the overlay of descriptive annotations and graphics on the video images of the surroundings, captured by a video camera. The latter is referred to as augmented reality.
The continuous feed of the device position and orientation data, from the GPS receiver and the digital compass, into the application, makes the framework fit for use in unknown environments and therefore suitable for ubiquitous operation. This is one of the novelties of the proposed framework, because it enables a whole range of social, peer-to-peer interactions to take place. The scenarios of how the system could be employed to pursue these remote interactions and collaborative efforts on mobile devices are addressed in the context of urban navigation. The conceptual design and implementation of the novel location and orientation based algorithm for mobile AR are presented in detail. The system is, however, multifaceted and capable of supporting peer-to-peer exchange of information in a pervasive fashion, usable in various contexts. The modalities of these interactions are explored and laid out in several scenarios, but particularly in the context of user adoption. Two evaluation tasks took place. The preliminary evaluation examined certain aspects that influence user interaction while being immersed in a virtual environment, whereas the second summative evaluation compared the utility and certain usability aspects of the AR and VR interfaces
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