Visualization, Modeling and Graphics Group School of Computer Science, Bangor University, Dean Street, Bangor, Gwynedd, UK. LL57 1UT
Email: vmg@bangor.ac.uk Tel: +44 (0)1248 388244
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Seminars usually held on Wednesdays at 2.00pm in ROOM 313 (Dean Street) Attendance at one of our seminars qualifies for “xp” experience points towards the Bangor Employability Award (BEA).
For the final seminar of 2012, we will be showing a screening of “The PhD Movie” - the independently-produced live-action adaptation of the online comic strip Piled Higher and Deeper. Filmed on location at the California Institute of Technology, the movie follows four graduate students and their struggles with teaching, love and getting their research to work. You can view a trailer here: http://www.phdmovie.com/.
The NV3D display system is designed as a natural view, auto stereo display system which uses up to 36 projectors to piece together different images to different viewpoints located in front of its display screen, The system’s screen is an asymmetric diffusion sheet; allowing light to pass through only within a restricted horizontal angle. This talk will outline the design of the display system and the novel calibration methods used to set up the projectors. I will discuss some of the many engineering problems that the system development has faced.
With the advancement of data storage technologies and the ever-decreasing costs of hardware, our ability to store data is unprecedented. However, a large gap remains between our ability to collect and store data and our ability to derive knowledge from it. Data visualization exploits our most powerful sense, vision, in order to derive knowledge and gain insight into large, multi-variate data sets that describe complicated and often time-dependent events. This talk presents a selection of unique applications in the area of data visualization, showcasing some of visualizations strengths, weaknesses, and, goals.
We describe inter-disciplinary projects based on flow, foam, text, and animal tracking, where visualization is used to address fundamental questions-the answers of which we hope to discover in various large, complex, and time-dependent phenomena.
Biography: Robert S. Laramee received a bachelors degree in physics, Cum Laude, from the University of Massachusetts, Amherst (ZooMass) in 1997. In 2000, he received a masters degree in computer science from the University of New Hampshire, Durham. He was awarded a PhD from the Vienna University of Technology (Gruess Gott TUWien), Austria at the Institute of Computer Graphics and Algorithms in 2005. From 2001 to 2006 he was a researcher at the VRVis Research Center (www.vrvis.at) and a software engineer at AVL (www.avl.com) in the department of Advanced Simulation Technologies. Currently he is a Senior Lecturer at the Swansea University (Prifysgol Cymru Abertawe), Wales in the Department of Computer Science (Adran Gwyddor Cyfrifiadur). His research interests are in the areas of data visualization, computer graphics, and human-computer interaction. He has published more than 80 peer-reviewed papers in scientific conferences and journals. For more information, please visit: http://cs.swan.ac.uk/~csbob/.
Electronic displays are nowadays ubiquitous, allowing to view computer generated images in a variety of conditions, from outdoor to well-lit offices to low-illuminated living rooms at night. With huge differences in the capabilities of the most popular LCD panels and newly developed technologies such as LED-illuminated and OLED displays, there has been a large body of research devoted to making images look as similar as possible across a multitude of devices. In this presentation, I will focus on the research conducted on one of the qualities of the image that changes with luminance, contrast. Some initial explanation will be provided about the HDR imaging and HDR displays and how and why they are being used for this research.
The objective of this study was to compare the efficiency of the Adaptive Statistical Iterative Reconstruction (ASIR) with the Filtered Back Projection (FBP) reconstruction technique. First, a phantom analysis assessed objective image quality, in terms of noise, spatial resolution, Hounsfield Units’ linearity and low contrast detectability. Then, a retrospective study compared FBP reconstructed CT-scans and dose optimized exams with ASIR (-30% dose), in a cohort of children. This second part of our study aimed to evaluate the diagnosis efficiency of ASIR.
Results showed that ASIR algorithm allows a high SNR improvement that permits a dose reduction to obtain equal noise levels than using FBP reconstruction. Furthermore, and excepted in ultra-low dose conditions, we can’t express neither spatial resolution degradation nor deleterious effects on low contrast detectability. This type of iterative reconstruction in computed tomography delivers images with a different noise texture but makes possible an easy dose reduction by 30% for CT-exams, without excessive computational time or deleterious effects for diagnosis.
The SP theory is a unique attempt to integrate and simplify concepts in artificial intelligence, mainstream computing, and human cognition. This talk will describe the origins of the theory and the motivation for developing it, the main elements of the theory, and potential benefits and applications of the theory. A key construct in the theory is a concept of multiple alignment, similar to that concept in bioinformatics but with important differences. A key principle in the theory is that much of human perception and cognition, artificial intelligence, and mainstream computing, may be understood as information compression. Examples will be shown, illustrating some of the potential applications of the theory in natural language processing, pattern recognition, several kinds of reasoning, information storage and retrieval, planning and problem solving, unsupervised learning, and compression of information. Further information: www.cognitionresearch.org/sp.htm.
The SP theory is a unique attempt to integrate and simplify concepts in artificial intelligence, mainstream computing, and human cognition. This talk will describe the origins of the theory and the motivation for developing it, the main elements of the theory, and potential benefits and applications of the theory. A key construct in the theory is a concept of multiple alignment, similar to that concept in bioinformatics but with important differences. A key principle in the theory is that much of human perception and cognition, artificial intelligence, and mainstream computing, may be understood as information compression. Examples will be shown, illustrating some of the potential applications of the theory in natural language processing, pattern recognition, several kinds of reasoning, information storage and retrieval, planning and problem solving, unsupervised learning, and compression of information. Further information: www.cognitionresearch.org/sp.htm.
Using sleight-of-hand techniques and charming storytelling, illusionist Marco Tempest brings a jaunty stick figure to life onstage at TEDGlobal. A magician and illusionist for the 21st century, Marco Tempest blends cutting-edge technology with the flair and showmanship of Houdini. “About three years ago, I started an exercise in openness and inclusiveness to create new digital tools for magic — tools that could eventually be shared with other artists to start them off further on in the process and to get them into the poetry faster” (Marco Tempest).
Today’s seminar will present a recorded talk by: Dr. Nassir Navab. Dr Nassir was one of the keynote talks at MIUA 2012
If you would like to raise any questions to Dr Nassir, we will send them through to him following this session.
The development and application of non-invasive imaging technology for the in situ imaging of historical artefacts is a growing area of research. The imaging science for archaeology and art conservation group has been engaged in developing various optical imaging systems specifically for archaeology, art history and art conservation since 2005. This talk will give an overview of the research in the group, with specific discussions on recent projects involving in situ remote spectral imaging (e.g. PRISMS: Portable Remote Imaging for Multispectral Scanning) with 3D macro-topographic data gathering and 3D microscopic tomography with Optical Coherence Tomography (OCT).
The term “multivariate” implies the existence of more than one variable, multiple values for a single observation, hence the multivariate statistics considers and analyzes multi-dimensional data with the specified aim of understanding its structure, background, purpose and how these dimensions relate to each other. The underlying theoretical structure of many quantitative applied sciences and also most of the observable phenomena in the empirical sciences are of a multivariate nature. The aim of this seminar is make a short introduction of multivariate applied statistics in a way that is understandable for non-mathematicians and practitioners who are confronted by statistical data analysis. Also the difference between quantitative and qualitative analysis is discussed, together with several basic statistical techniques of analyzing complex sets of data .
A demonstration of my adaption of a 3D avatar to assist visualization and teaching of how the vascular circulation responds for an exercising human.
A demonstration of my adaption of a 3D avatar to assist visualization and teaching of how the vascular circulation responds for an exercising human.
After several years working on High Dynamic Range images, I am now working as a real estate photographer. The challenge is to produce quickly stunning images of properties: we want bright and colorful images, to make a difference on the online listings and make a good first impression on the potential buyers. We also want the pictures to show a maximum area of each bedroom without making the bedroom look bigger, to correctly represent the property. This talk will present some solutions found in today’s softwares and their limitations.
In the first part, RFW (Random Feature Weights) ensembles will be presented. As in Random Forest, this method introduces randomness in the construction method of decision trees. Nevertheless, for each node all the attributes are considered, but randomly weighted. The method has favourable results when compared with classical ensemble methods, and these methods are generally improved when combined with RFW. The second part considers the performance of some ensemble methods with different types of decision trees when using imbalanced data.
In the first part a short overview will be given on the research work done at the Laboratory for Media Technology at Empa, Switzerland, covering aspects of
The main, second part provides the audience with an overview of research on gamut mapping. Data from psycho-visual tests and image quality measures allow considering gamut mapping as an optimization problem, namely finding the best mapping either as perceived by users or in terms of image quality. We demonstrate that many popular gamut mapping algorithms can be cast in the language of an abstract optimization framework, and discuss the aspects optimized by the different algorithms. We will argue, that the basic aspects can also be applied to tone mapping.
In the first part a short overview will be given on the research work done at the Laboratory for Media Technology at Empa, Switzerland, covering aspects of
The main, second part provides the audience with an overview of research on gamut mapping. Data from psycho-visual tests and image quality measures allow considering gamut mapping as an optimization problem, namely finding the best mapping either as perceived by users or in terms of image quality. We demonstrate that many popular gamut mapping algorithms can be cast in the language of an abstract optimization framework, and discuss the aspects optimized by the different algorithms. We will argue, that the basic aspects can also be applied to tone mapping.
Vision-based biometric systems usually involve real-time tasks. A fashionable example is gait recognition, which is intended to recognize people from the way they walk. This work investigates to what extent the effectiveness of a gait recognition process depends on the length of the video sequence used. To this end, a cumulative gait representation is computed from gait cycles in the order they occur, and its performance for gait recognition is evaluated as a function of time. Experiments have been conducted on two public collections of gait video sequences covering both indoor and outdoor environments. Results show that even under realistic conditions where some covariate factors (carrying conditions, surface, clothing) are a priori unknown, a few gait cycles are enough to succeed in gait recognition.
Vision-based biometric systems usually involve real-time tasks. A fashionable example is gait recognition, which is intended to recognize people from the way they walk. This work investigates to what extent the effectiveness of a gait recognition process depends on the length of the video sequence used. To this end, a cumulative gait representation is computed from gait cycles in the order they occur, and its performance for gait recognition is evaluated as a function of time. Experiments have been conducted on two public collections of gait video sequences covering both indoor and outdoor environments. Results show that even under realistic conditions where some covariate factors (carrying conditions, surface, clothing) are a priori unknown, a few gait cycles are enough to succeed in gait recognition.
There are 247 million cases of malaria annually and 212 million of those cases are reported in Africa. The statistics would be even more staggering if not for the fact that it becomes impossible to count the number of malaria deaths in those sub-Saharan African countries where data collection is rudimentary. This seminar presents recent work to produce a collection of computationally inexpensive agent oriented malaria transmission models. The models have been found to produce results that have a high fidelity to real world malaria statistics. The intention is to design tools for use in the study of malaria spread amongst the most vulnerable populations, specifically those that have been displaced from their countries of origin and those that become part of peri-urban settlements. A greater understanding of how medical intervention and sanitation projects could best target the needs of affected populations, would mean that aid is more effectively provided.
There are 247 million cases of malaria annually and 212 million of those cases are reported in Africa. The statistics would be even more staggering if not for the fact that it becomes impossible to count the number of malaria deaths in those sub-Saharan African countries where data collection is rudimentary. This seminar presents recent work to produce a collection of computationally inexpensive agent oriented malaria transmission models. The models have been found to produce results that have a high fidelity to real world malaria statistics. The intention is to design tools for use in the study of malaria spread amongst the most vulnerable populations, specifically those that have been displaced from their countries of origin and those that become part of peri-urban settlements. A greater understanding of how medical intervention and sanitation projects could best target the needs of affected populations, would mean that aid is more effectively provided.
There are 247 million cases of malaria annually and 212 million of those cases are reported in Africa. The statistics would be even more staggering if not for the fact that it becomes impossible to count the number of malaria deaths in those sub-Saharan African countries where data collection is rudimentary. This seminar presents recent work to produce a collection of computationally inexpensive agent oriented malaria transmission models. The models have been found to produce results that have a high fidelity to real world malaria statistics. The intention is to design tools for use in the study of malaria spread amongst the most vulnerable populations, specifically those that have been displaced from their countries of origin and those that become part of peri-urban settlements. A greater understanding of how medical intervention and sanitation projects could best target the needs of affected populations, would mean that aid is more effectively provided.
There are 247 million cases of malaria annually and 212 million of those cases are reported in Africa. The statistics would be even more staggering if not for the fact that it becomes impossible to count the number of malaria deaths in those sub-Saharan African countries where data collection is rudimentary. This seminar presents recent work to produce a collection of computationally inexpensive agent oriented malaria transmission models. The models have been found to produce results that have a high fidelity to real world malaria statistics. The intention is to design tools for use in the study of malaria spread amongst the most vulnerable populations, specifically those that have been displaced from their countries of origin and those that become part of peri-urban settlements. A greater understanding of how medical intervention and sanitation projects could best target the needs of affected populations, would mean that aid is more effectively provided.
We present and analyse the behaviour of an evolutionary algorithm designed to estimate the parameters of a complex organ behaviour model. The model is adaptable to account patient’s specificities. The aim is to finely tune the model to be accurately adapted to various real patient datasets. It can then be embedded, for example, in high fidelity simulations of the human physiology. We present here an application focused on respiration modelling. The algorithm is automatic and adaptive. A compound fitness function has been designed to take into account various quantities that have to be minimised. The algorithm efficiency is experimentally analysed on several real test-cases: i) three patient datasets have been acquired with the ‘breath hold’ protocol (i.e. with two time steps only), and ii) one dataset corresponds to a 4D CT scan with ten time steps. Its performance is compared with i) a random search method, ii) a basic real-value genetic algorithm, iii) more traditional optimisation methods - Downhill simplex method and Powell’s conjugate gradient descent method. We show that our dedicated evolutionary strategy provides more stable and accurate results.
This week’s presentation we will listen to one (may be two) TED talks. We will focus on a few speakers who present “data as art”. First “Chris Jordan TED Talk: Visualizing Excess through Large Compositions” (11 mins) where he uses photographs to display statistical information and tell stories, and then Aaron Koblin (18 mins) “who takes vast amounts of data – and at times vast numbers of people – and weaves them into stunning visualizations”. We will follow these talks with a discussion.
Bangor University and GWEFR Cyf , an engineering consultancy located in Gwynedd, have joined forces to apply an academic solution to an industrial problem. The motivation is to find a safer and more cost-effective method of collecting data when inspecting high ceilings and walls of large buildings and enclosed spaces, such as industrial warehouses, train stations etc. Typically these inspections are performed by qualified civil engineers and involves measuring and assessing the condition of various structural components. Due to the height and size of such buildings access can be dangerous and difficult which makes the inspection process time consuming and expensive. The aim of this project is to research the possible use of an unmanned aerial vehicle (UAV) and onboard sensor suite to perform this job.
Since its creation in 2004, Facebook has become the most popular social networking service, taking the title from its main rival, MySpace, in 2008. With its 800 mln of users, the site boosted the popularity of numerous Internet phenomena, including social gaming. But what started out as a small distraction for the bored office crowd quickly grew into a respectable business with today’s productions requiring not only budgets similar to their big console counterparts, but also excessive marketing to break through to the general public. With big players in the gaming industry, such as Ubisoft or EA, owning studios devoted entirely to Facebook game production, the paradigm of the industry shifted and developers with social gaming background are among the most sought for on the gaming job market.
One of such developers, Slawek Mazgaj, the lead developer of 2011’s 10th most popular game on Facebook - Diamond Dash (apps.facebook.com/diamonddash) - is coming over to Bangor to give a lecture about video game development for Facebook. The lecture will focus on the technical aspects of using Adobe Flash to produce high quality games, providing the backend for games to introduce the social element, monetising the game when it becomes successful and some typical problems that emerge because of the nature of social media. Even though the lecture will be based heavily on Flash and ActionScript 3, anyone interested in video gaming and social media should find something interesting for themselves.
“We know next to nothing about how collective cognition works, or when it works, or how to make it work better; we have some ideas about it, but at best they’ve the status of artisanal rules of thumb.” Bactra review of Edwin Hutchins’s book Cognition in the Wild. I like to think of visualization designers as skilled crafts-people who make tools to help other people think better. As Edwin Hutchins and others have pointed out, most real world thinking occurs with external aids such as paper and pencil, maps and diagrams. This means that a real world psychology must incorporate cognitive tools and their interfaces together with classic constructs of perceptual psychology, like pattern perception mechanisms and visual working memory. Perception is an active process and visual thinking can be thought of as a set of distributed processes involving pattern finding, eye movements and visual working memory operations. Interacting with a computer is also an active process, involving activities like zooming in and out, or hiding and saving information. In visual thinking using visualizations some activities occur in the head and others in the computer. The visualization is the bridge. Using studies of visualizations designed to help analyze data—from social networks and from tagged foraging humpback whales— I suggest some “artisanal rules of thumb” that can be used to generalize from the specific examples. The exciting thing for those of us who design, is that half of the emerging discipline of real world cognition (it is too early to call it a science), has to be about things that are changing and evolving. It can be constructivist in the very literal sense of building tools.
Ware has a special interest in applying theories of perception to the design of geospatial data interfaces. He has advanced degrees in both computer science (MMath, Waterloo) and in the psychology of perception (PhD,Toronto). He has published over 130 scientific articles ranging from rigorously scientific contributions to the Journal of Physiology and Vision Research to applications oriented articles in the fields of data visualization and human-computer interaction. His book Information Visualization: Perception for Design is now in its third edition. His new book, Visual Thinking for Design, appeared in 2008. Ware also likes to build practical visualization systems. Fledermaus, a commercial 3D geospatial visualization system widely used in oceanography, was developed from his initial prototypes. His trackPlot software is being used by marine mammal scientists and his flowVis2D software will shortly be serving images on NOAA websites. Colin Ware is Director of the Data Visualization Research Lab which is part of the Center for Coastal and Ocean Mapping at the University of New Hampshire.
http://ccom.unh.edu/vislab/colin_ware.html
We present a system for the annotation and augmentation of mountain photographs. The key issue resides in the registration of a given photograph with a 3D geo-referenced terrain model. Typical outdoor images contain little structural information, particularly mountain scenes whose aspect changes drastically across seasons and varying weather conditions. Existing approaches usually fail on such difficult
scenarios. To avoid the burden of manual registration, we propose a novel automatic technique. Given only a viewpoint and FOV estimates, the technique is able to automatically derive the pose of the camera relative to the geometric terrain model. We make use of silhouette edges, which are one of the most reliable features that can be detected in the targeted situations. Using an edge detection algorithm, our technique then searches for the best match with silhouette edges rendered with the synthetic model. We develop a robust matching metric allowing us to cope with noise inevitably present among detected edges (e.g. due to clouds, snow, rocks, forests, or any phenomenon not encoded in the digital model). Once registered against the model, photographs can easily be augmented with annotations (e.g. topographic data, peak names, paths), which would otherwise imply a tedious fusion process. We further illustrate various other applications, such as 3D model-assisted image enhancement, or, inversely, texturing of digital models. The webpage is here: http://www.mpi-inf.mpg.de/resources/photo-to-terrain/
Dimensional reduction method is a method to extract knowledge from large volumes of data by reducing high dimensions to low. There are different types of dimension reduction methods and have satisfactory results in wide applications. However, the results are not always acceptable from user because its randomization and there is no guarantee that the reduction process keeps all information. Our major contributions are: first, we propose a high quality dimensional reduction method merges stochastic proximity embedding method with a user opinion through projection process. Second, we introduce new enhanced trustworthy method to measure and improve the manifold. Third, we improve our method speed by using graph processing unit (GPU) as computation engine rather than CPU.
A specknet is a wireless network of autonomous specks which provides one or more services: each speck is capable of sensing and is programmed to process this data, and a collection of specks collaborate to extract information from the sensed data in a distributed manner.
Specknets link the physical world of sensory data with the virtual world of network of computers. Specknet on the person with the appropriate sensors can, for example, monitor movement and physiological conditions and, in turn, infer the state of his/her well being which can be transmitted over the internet. Computation with specknets, or Speckled Computing, affords new modes of interaction with the digital world in which the physical world is the primary site of interaction.
The talk will give a broad overview of Speckled Computing and will be illustrated with examples of applications in healthcare, digital media and environmental monitoring.
Brief CV
D.K. Arvind is a Professor in the School of Informatics, University of Edinburgh, where he holds the Chair in Distributed Wireless Computation, and the CITRIS Visiting Professor (2007-15) at the University of California at Berkeley, USA. He was previously for four years a Research Scientist at the School of Computer Science, Carnegie-Mellon University, USA. He is the Director of the Centre for Speckled Computing and has been the Principal Investigator (PI) on projects funded by UK Engineering and Physical Sciences Research Council (EPSRC), Scottish Funding Council (SFC), EU Framework 7, Scottish Enterprise, US Office of Naval Research, US Air Force Research Laboratory, and by leading technology companies including ARM, Hitachi, Otto Bock Gmbh, Panasonic, RedKite Animations, Sharp, Sun Research Labs, SAS, Selex Galileo and Xilinx. He was the PI and founding Director of the £5.3M EPSRC- and SFC-funded Research Consortium in Speckled Computing (2003-10): an interdisciplinary consortium of computer scientists, electrochemists, physicists and electronic engineers drawn from 5 UK universities. His research interests include the design, analysis and integration of miniature networked embedded systems which combine sensing, processing and wireless networking capabilities targeted at applications in healthcare, digital media and environmental monitoring.
Resource discovery is the matter of locating and retrieving information in a large, complex networked environment. There are many resource discovery mechanisms available currently being used on the Internet. For this presentation, the Blackboard Resource Discovery Mechanism (BRDM), a low cost resource discovery mechanism for large networks, is described, and several improvements to the algorithm will also be presented.
Information Retrieval concerns the location of relevant documents in a large collection. A topical area of research at the moment in information retrieval is the problem of finding documents in peer-to-peer networks rather than the standard client-server model which is common with search engines. Resource discovery is related to information retrieval as the goal of resource discovery is to locate a particular resource (i.e. document or CPU resource, say), whereas the goal of information retrieval is to locate a relevant document according to some user need as specified by a user query. To date, no-one has investigated the application or adaptation of methods that perform well for resource discovery to the problem of information retrieval in peer-to-peer networks.
The goal of the PhD project is to further enhance the Blackboard Resource discovery mechanism by using text categorisation techniques in order to develop a novel method for information retrieval for peer-to-peer networks based on text categorisation. Among the categorisation techniques being studied are the probabilistic compression-based PPM method, the token count based methods C-Measure and R-Measure, and a newly developed type count based method called T-Measure. We have developed two programs, the first one is to simulate the BRDM and the second one is to test the T-Measure text categorisation accuracy. These programs will be demonstrated along with some experimental results.
Today, the area of computer graphics has become pervasive in all fields of life. Among many other uses, anatomy exploration has become an important application in this domain. In many cases, it is important to study the interior matter in context to the exterior. In such a case, the necessity to remove a part of the exterior becomes significant. It has become clear that the shape of this removed area affects the overall impression depth within the graphical image.
Different shaped apertures determine the acceptance of the image to the viewer; this can be random or regular. This study focuses on regular shapes. The main objective of the project is to find the aperture shape that gives a better impression of depth. The best shape aperture will be applied to 3D volume renderings in real-time; to create enhanced 3D computer graphic images.
This talk will highlight the work carried out to date and look at the challenges that are being addressed.
In recent years, the protection of ownership ofmultimedia data, i.e. images, video and audio recordings, has become a very important issue. Digital watermarking has been heralded as theultimate solution for copyright protection and authentication of multimedia contents. The idea behind digital watermarking is toimperceptibly embed a small amount of secret information in the multimedia content so that it can be detected or extracted later tomake an assertion about the host multimedia. In this talk, the major challenge in designing a watermarking scheme will be addressed. It isto find a strategy that satisfies the conflicting objectives of achieving multimedia content changes imperceptible for human eyeswhilst being extremely robust against unauthorized detection, and intentional or unintentional removal attempts.
In this talk I will identify why a number of organisations including universities have invested large sums of money in supercomputing.
This will by presenting a number of examples from a number of different organisation on how modelling and simulation is improving their “product” be it a research paper or an item that is manufactured.
The talk will finish by showing recent government announcements have recognised the importance of supercomputing for the economic development of the UK.
Radiotherapy is the treatment of disease (especially cancer) with ionizing radiation. Sufficient amount of radiation dose has to be delivered to the target volume but critical normal anatomical structures needs to be protected. Three distinct phases can be identified: treatment planning, treatment delivery, and treatment evaluation. Computer graphics and advanced visualization techniques are an integral part of the planning process. Applications of computer visualization techniques to the treatment delivery and evaluation phases are becoming popular in recent years.
In this talk, a presentation of a selection of applications of Advanced Visualization and Augmented Reality techniques to the three phases of radiotherapy will be given. Possible future developments will be considered, including a presentation of the speaker’s PhD topic (iPad in the treatment room).
If you didn’t make it to SIGGRAPH Asia 2011 in Hong Kong, be sure to come along to this week’s seminar to watch one of the featured sessions by Ken Perlin of New York University discussing “The Future of Computer Graphics”.
If you didn’t make it to SIGGRAPH Asia 2011 in Hong Kong, be sure to come along to this week’s seminar to watch one of the featured sessions by Ken Perlin of New York University discussing “The Future of Computer Graphics”.
The term “Virtual Reality” has been subject to much hype in the press over the last two decades. Hollywood films and TV series such as Star Trek - with it’s famous Holodeck concept - has raised public expectations on what to expect. The result is that the “reality” of Virtual Reality is often a disappointment and the public are cynical about the future potential of this technology. However, just how close are we today in achieving a virtual environment of the fidelity required for the Star Trek Holodeck? In this talk I will summarise some of the problems that need to be overcome and suggest the current technology solutions that can get us closer to this aim.
This talk will not include any equations, proofs or complex rendering algorithms. It will be a gentle introduction back into our seminar series following the Christmas and New Year break.