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    CVPR
    2003
    IEEE
    160views Computer Vision» more  CVPR 2003»
    Low-Dimensional Representations of Shaded Surfaces under Varying Illumination
    15 years 11 months ago
    Low-Dimensional Representations of Shaded Surfaces under Varying Illumination
    Download  www.nada.kth.se
    The aim of this paper is to find the best representation for the appearance of surfaces with Lambertian reflectance under varying illumination. Previous work using principal compo...
    Peter Nillius, Jan-Olof Eklundh
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    AROBOTS
    2007
    159views more  AROBOTS 2007»
    Structure-based color learning on a mobile robot under changing illumination
    14 years 10 months ago
    Structure-based color learning on a mobile robot under changing illumination
    Download  www.cs.utexas.edu
    — A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
    Mohan Sridharan, Peter Stone
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    RT
    2001
    Springer
    132views Computer Graphics» more  RT 2001»
    Shader Lamps: Animating Real Objects With Image-Based Illumination
    15 years 2 months ago
    Shader Lamps: Animating Real Objects With Image-Based Illumination
    Download  www.cs.unc.edu
    We describe a new paradigm for three-dimensional computer graphics, using projectors to graphically animate physical objects in the real world. The idea is to replace a physical o...
    Ramesh Raskar, Greg Welch, Kok-Lim Low, Deepak Ban...
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    AMAST
    2008
    Springer
    111views Software Engineering» more  AMAST 2008»
    Simulation Using Orchestration
    14 years 11 months ago
    Simulation Using Orchestration
    Download  orc.csres.utexas.edu
    d Abstract) David Kitchin, Evan Powell, and Jayadev Misra The University of Texas at Austin The real world is inherently concurrent and temporal. For simulating physical phenomena ...
    David Kitchin, Evan Powell, Jayadev Misra
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    AIR
    2005
    85views more  AIR 2005»
    On Paradox of Fuzzy Modeling: Supervised Learning for Rectifying Fuzzy Membership Function
    14 years 9 months ago
    On Paradox of Fuzzy Modeling: Supervised Learning for Rectifying Fuzzy Membership Function
    Download  naoce.sjtu.edu.cn
    The paradox of fuzzy modeling is recognized due to the co-existence of its effectiveness of solving uncertain problems in the real world and the skepticism of its reasonability in ...
    Shaopei Lin
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