Light Transport for Vision and Graphics
A high spatial resolution Diffuse Optical Tomography (DOT) system that
can detect accurate boundaries and relative depth of heterogeneous structures up to a depth of 8mm below highly scattering medium
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A 2 parameter family of indirect light transport images captured live include short and long range indirect.
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Novel mathematical framework to extend Galerkin projection to
non-polynomial functions with applications to fast fluid simulation and radiosity rendering
of deformable scenes.
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The goal of the project is to efficiently render both the subsurface scattering
of light within objects and the diffuse interreflections between them.
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The goal is to recover 3D shapes of complex objects using structured lighting that is robust to
interreflections, sub-surface scattering and defocus.
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The goal is to recover depth from defocus in the presence of global illumination.
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Laser range finding and photometric stereo in impure waters.
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Optimal positioning of light sources and cameras for best visibility in impure waters.
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Removing rain and snow from videos using a frequency space analysis.
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Estimating visibility and weather condition from light source appearances.
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Models and algorithms for recovering scene properties from images captured in fog and haze.
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Calibrated and HDR time-lapse images of an outdoor scene for a year.
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We present a unified framework for reduced space modeling and rendering of dynamic and non-homogenous participating media, like snow, smoke, dust and fog.
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We have developed a simple device and technique for robustly estimating the properties of a broad class of participating media.
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We are interested in analyzing and rendering the visual effects due to scattering of light by participating media such as fog, mist and haze.
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This project focuses on multiple scattering from light sources immersed in participating media such as bad weather and fluids.
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