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Now showing 1 - 10 of 623
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    Visual Query of Time-Dependent 3D Weather in a Global Geospatial Environment
    (Georgia Institute of Technology, 2002) Ribarsky, William ; Faust, Nick L. (Nickolas Lea) ; Wartell, Zachary Justin ; Shaw, Christopher D. ; Jang, Justin
    A multi-key data organization is developed for handling a continuous stream of large scale, time-dependent, 3D weather data in a global environment. The structure supports inserting the data in real-time as they arrive or retrieving weather events at desired times and locations from archived weather histories. In either case data are organized for interactive visualization and visual query.
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    The MASTERMIND User Interface Generation Project
    (Georgia Institute of Technology, 1996) Browne, Thomas ; Davila, David ; Rugaber, Spencer ; Stirewalt, R. E. Kurt
    Graphical user interfaces are difficult to construct and, consequently, suffer from high development and maintenance costs. Automatic generation from declarative descriptions can reduce costs and enforce design principles. MASTERMIND is a model based approach to user interface generation. Designers model different aspects of an interface using declarative modeling languages, and tools synthesize these models into run-time code. The design process begins with user task and application modeling. These models are then refined into dialogue, presentation, and interaction models and an application API. These latter models drive the synthesis of run-time code. A design tool called Dukas is employed to support the refinement of task models into dialogue models.
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    Aware Home Visual Perception (Part I): Design and Algorithms
    (Georgia Institute of Technology, 2005) Bobick, Aaron F. ; Yang, Zhonghao
    In this paper we present the design details of the visual perception system in Aware Home. This paper is intend to (a) detail our design details; (b) provide insights on how different parts of the tracking system are inter-related to solve complex perception tasks; (c) document ideas and potential research directions; (d) provide performance evaluation. This work will primarily focus on algorithm and design issues, while another technical report will be authored to address coding issues related to this system (APIs, class structures, etc).
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    Animating Human Athletics
    (Georgia Institute of Technology, 1995) Hodgins, Jessica K. ; Wooten, Wayne L. ; Brogan, David C. ; O'Brien, James F.
    This paper describes algorithms for the animation of men and women performing three dynamic athletic behaviors: running, bicycling, and vaulting. We animate these behaviors using control algorithms that cause a physically realistic model to perform the desired maneuver. For example, control algorithms allow the simulated humans to maintain balance while moving their arms, to run or bicycle at a variety of speeds, and to perform a handspring vault. Algorithms for group behaviors allow a number of simulated bicyclists to ride as a group while avoiding simple patterns of obstacles. We add secondary motion to the animations with spring-mass simulations of clothing driven by the rigid-body motion of the simulated human. For each simulation, we comparethe computed motion to that of humans performing similar maneuvers both qualitatively through the comparison of real and simulated video images and quantitatively through the comparison of simulated and biomechanical data.
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    Two Methods for Display of High Contrast Images
    (Georgia Institute of Technology, 1998) Tumblin, John Erwin (Jack) ; Hodgins, Jessica K. ; Guenter, Brian K.
    High contrast images are common in night scenes and other scenes that include dark shadows and bright light sources. These scenes are difficult to display because their contrasts greatly exceed the range of most display devices for images. As a result, the image contrasts are compressed or truncated, obscuring subtle textures and details. Humans view and understand high contrast scenes easily, ``adapting'' their visual response to avoid compression or truncation with no apparent loss of detail. By imitating some of these visual adaptation processes, we developed two methods for the improved display of high contrast images. The first builds a display image from several layers of lighting and surface properties. Only the lighting layers are compressed, drastically reducing contrast while preserving much of the image detail. This method is practical only for synthetic images where the layers can be retained from the rendering process. The second method interactively adjusts the displayed image to preserve local contrasts in a small ``foveal'' neighborhood. Unlike the first method, this technique is usable on any image and includes a new tone reproduction operator. Both methods use a sigmoid function for contrast compression. This function has no effect when applied to small signals but compresses large signals to fit within an asymptotic limit. We demonstrate the effectiveness of these approaches by comparing processed and unprocessed images.
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    OrthoMap: Homeomorphism-guaranteeing normal-projection map between surfaces
    (Georgia Institute of Technology, 2004) Chazal, Frederic ; Lieutier, Andre ; Rossignac, Jarek
    Consider two (n—1)-dimensional manifolds, S and Sʹ in Rn. We say that they are projection-homeomorphic when the closest projection of each one onto the other is a homeomorphism. We give tight conditions under which S and Sʹ are projection-homeomorphic. These conditions involve the local feature size for S and for Sʹ and the Hausdorff distance between them. Our results hold for arbitrary n.
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    Mercator : the design and implementation of auditory interface to Sun Microsystems, Inc.
    (Georgia Institute of Technology, 1992) Mynatt, Elizabeth D. ; Georgia Institute of Technology. Office of Sponsored Programs ; Georgia Institute of Technology. Graphics, Visualization and Usability Center ; Georgia Institute of Technology. Office of Sponsored Programs
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    A Simple Yet Robust Caching Algorithm Based on Dynamic Access Patterns
    (Georgia Institute of Technology, 1994) Pitkow, James Edward ; Recker, Mimi
    The World Wide Web continues its remarkable and seemingly unregulated growth. This growth has seen a corresponding increase in network loads and user response times. One common approach for improving the retrieval rate of large, distributed documents is via caching. In this paper, we present a caching algorithm that flexibly adapt its parameters to the hit rates and access patterns of users requesting documents. The algorithm is derived from an analysis of user accesses in a WWW database. In particular, the analysis is based upon a model from psychological research on human memory, which has long studied retrieval of memory items based on frequency and recency rates of past item occurrences. Results show that the model predicts document access with a high degree of accuracy. Furthermore, the model indicates that a caching algorithm based upon the recency rates of prior document access will reliably handle future document requests. The algorithm presented is simple, robust, and easily implementable.
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    Information Awareness on the Desktop: A Case Study
    (Georgia Institute of Technology, 1997) McCrickard, D. Scott
    In the future, the amount of online information will increase as more people use the Internet for a growing number of activities. Staying updated on the status of important information requires a tool that will monitor information resources and alert the user when changes occur. To remain both useful and unintrusive, such a tool must provide quick access to information in a small space. To address this need, we created Irwin, a highly configurable information monitoring tool. This paper describes Irwin and examines how four users used it over a five-month period.
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    Distributed Mediation of Imperfectly Sensed Context in Aware Environments
    (Georgia Institute of Technology, 2000) Dey, Anind K. ; Mankoff, Jennifer C. ; Abowd, Gregory D.
    Current context-aware services make the assumption that the context they are dealing with is correct. However, in reality, both sensed and interpreted context is often imperfect. In this paper, we describe an architecture that supports the building of context-aware services that assume context is imperfect and allows for the refinement of this imperfect context by mobile users in aware-environments. We discuss the architectural mechanisms and design heuristics that arise from supporting this refinement over space and time. We illustrate the use of our architecture and heuristics through two example context-aware services, an In-Out Board for the home and a situation-aware reminder tool.