This interactive application will allow visitors to play with garments in three dimensions, transforming them into creative, customizable and experimental objects. Based on touch screen technology and through a simple and attractive interface, visitors will be able to dress and customize a 3 dimensional virtual fashion model. The model will pose for you to show of the physically simulated garments in real time.
"Tiger Training" explores the relationship between real and virtual worlds via interaction with virtual animals in immersive mixed reality environments. This interactive, participative installation encourages viewers to "train" virtual animals using hand signals and voice commands. Virtual tigers are not easily "trained" requiring learning appropriate ways to coax responsive actions.
We have developed a system which enables us to track participant-observers accurately in a large area for the purpose of immersing them in a mixed reality environment. This system is robust even under uncompromising lighting conditions. Accurate tracking of the observer's spatial and orientation point of view is achieved by using hybrid inertial sensors and computer vision techniques. We demonstrate our results by presenting a life-size, animated human avatar sitting in a real chair, in a stable and low-jitter manner. The system installation allows the observers to freely walk around and navigate themselves in the environment even while still being able to see the avatar from various angles. The project installation provides an exciting way for cultural and historical narratives to be presented vividly in the real present world.
In an interactive augmented reality (AR) system, people are, most of the time, immersed in an environment rich of visual and audio feedback. The sense of touch is lacking in most of the AR environment. We present an augmented reality system where people can see life-size virtual human avatar in a real environment, and be able to have a physical haptic interaction with the avatar.
Our system of Mixed Reality and 3D Live with Ambient Intelligence (AmI) is indented to bring performance art to the people while offering to the performance artists a creative tool to extend the grammar of the traditional theatre. Actors and dancers at different places are captured by multiple cameras and their images are rendered in 3D form in such a way that they can play and dance together on the same place in real-time. Our Quanticum Man is an allegory of the time of the General Relativity and the matter of the Quantum Mechanics. The new type of interactive theatre enables social networking by supporting simultaneous participants in human-to-human social manner.
Mixed Reality Lab, Singapore info@mixedreality.org Abstract Magic Land is an application of mixed reality in art and entertainment. This system includes a special recording room where visitors can have themselves captured and a mixed reality environment where the 3D avatars of those visitors and 3D computer generated virtual characters can form an interactive story and play with each other. Magic Land has been exhibited at Singapore Science Center since December 2004 and it has proved its ability in enhancing museum visitors' experience by integrating both virtual and real environments in the same environment and by including more social and tangible interactions.
"Magic Land" is a cross-section of art and technology. It not only demonstrates the latest advances in human-computer interaction and human-human communication: mixed reality, tangible interaction, and 3D-live human capture technology; but also defines new approaches of dealing with live mixed reality content for artists of any discipline. In this system, the user is captured by cameras from many angles and her live 3D avatar is created to be confronted with 3D computer-generated virtual animations. The avatars and virtual objects can interact with each other in a virtual scenery in the mixed reality context; and users can tangibly interact with these characters using their own hands.
Current search engines such as Google are mainly keyword-based, whereby a query is represented by a set of keywords. Such a query language is not expressive enough to allow users to present the subject of the web documents that they want to find. Consequently, one often receives many useless results when searching the web. This paper proposes a semantics-based approach to web search engines in order to increase their precision. Our assumption is that the subjects of the documents that one wants to search for can be expressed by a set of concepts and relations between them. We propose to use conceptual graphs to represent both user queries and document descriptions, on the basis of an ontology built up for a particular domain. In order to reduce the computational cost, documents are first filtered to provide only those that contain the concepts and relations in the query. Graph matching is then performed to return relevant documents. A prototype of the proposed system is also presented for demonstration.