The Experts below are selected from a list of 8349981 Experts worldwide ranked by ideXlab platform
Laurent Moll - One of the best experts on this subject based on the ideXlab platform.
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SIGGRAPH - Efficient image-based methods for rendering soft shadows
Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00, 2000Co-Authors: Maneesh Agrawala, Ravi Ramamoorthi, Alan Heirich, Laurent MollAbstract:We present two efficient imaged-based approaches for computation and display of high-quality soft shadows from area light sources. Our methods are related to shadow maps and provide the associated benefits. The computation time and memory requirements for adding soft shadows to an image depend on image size and the number of lights, not geometric scene complexity. We also show that because area light sources are localized in space, soft shadow computations are particularly well suited to imaged-based rendering techniques. Our first approach— layered attenuation maps —achieves interactive rendering rates, but limits sampling flexibility, while our second method— coherence-based raytracing of depth images—is not interactive, but removes the limitations on sampling and yields high quality images at a fraction of the cost of conventional raytracers. Combining the two algorithms allows for rapid previewing followed by efficient high-quality rendering.
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efficient image based methods for rendering soft shadows
International Conference on Computer Graphics and Interactive Techniques, 2000Co-Authors: Maneesh Agrawala, Ravi Ramamoorthi, Alan Heirich, Laurent MollAbstract:We present two efficient imaged-based approaches for computation and display of high-quality soft shadows from area light sources. Our methods are related to shadow maps and provide the associated benefits. The computation time and memory requirements for adding soft shadows to an image depend on image size and the number of lights, not geometric scene complexity. We also show that because area light sources are localized in space, soft shadow computations are particularly well suited to imaged-based rendering techniques. Our first approach— layered attenuation maps —achieves interactive rendering rates, but limits sampling flexibility, while our second method— coherence-based raytracing of depth images—is not interactive, but removes the limitations on sampling and yields high quality images at a fraction of the cost of conventional raytracers. Combining the two algorithms allows for rapid previewing followed by efficient high-quality rendering.
Maneesh Agrawala - One of the best experts on this subject based on the ideXlab platform.
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SIGGRAPH - Efficient image-based methods for rendering soft shadows
Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00, 2000Co-Authors: Maneesh Agrawala, Ravi Ramamoorthi, Alan Heirich, Laurent MollAbstract:We present two efficient imaged-based approaches for computation and display of high-quality soft shadows from area light sources. Our methods are related to shadow maps and provide the associated benefits. The computation time and memory requirements for adding soft shadows to an image depend on image size and the number of lights, not geometric scene complexity. We also show that because area light sources are localized in space, soft shadow computations are particularly well suited to imaged-based rendering techniques. Our first approach— layered attenuation maps —achieves interactive rendering rates, but limits sampling flexibility, while our second method— coherence-based raytracing of depth images—is not interactive, but removes the limitations on sampling and yields high quality images at a fraction of the cost of conventional raytracers. Combining the two algorithms allows for rapid previewing followed by efficient high-quality rendering.
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efficient image based methods for rendering soft shadows
International Conference on Computer Graphics and Interactive Techniques, 2000Co-Authors: Maneesh Agrawala, Ravi Ramamoorthi, Alan Heirich, Laurent MollAbstract:We present two efficient imaged-based approaches for computation and display of high-quality soft shadows from area light sources. Our methods are related to shadow maps and provide the associated benefits. The computation time and memory requirements for adding soft shadows to an image depend on image size and the number of lights, not geometric scene complexity. We also show that because area light sources are localized in space, soft shadow computations are particularly well suited to imaged-based rendering techniques. Our first approach— layered attenuation maps —achieves interactive rendering rates, but limits sampling flexibility, while our second method— coherence-based raytracing of depth images—is not interactive, but removes the limitations on sampling and yields high quality images at a fraction of the cost of conventional raytracers. Combining the two algorithms allows for rapid previewing followed by efficient high-quality rendering.
Karen A Collins - One of the best experts on this subject based on the ideXlab platform.
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astroimagej image processing and photometric extraction for ultra precise astronomical light curves
The Astronomical Journal, 2017Co-Authors: Karen A Collins, John F Kielkopf, Keivan G Stassun, F V HessmanAbstract:ImageJ is a graphical user interface (GUI) driven, public domain, Java-based, software package for general image processing traditionally used mainly in life sciences fields. The image processing capabilities of ImageJ are useful and extendable to other scientific fields. Here we present AstroImageJ (AIJ), which provides an astronomy specific image display environment and tools for astronomy specific image calibration and data reduction. Although AIJ maintains the general purpose image processing capabilities of ImageJ, AIJ is streamlined for time-series differential photometry, light curve detrending and fitting, and light curve plotting, especially for applications requiring ultra-precise light curves (e.g., exoplanet transits). AIJ reads and writes standard Flexible Image Transport System (FITS) files, as well as other common image formats, provides FITS header viewing and editing, and is World Coordinate System aware, including an automated interface to the astrometry.net web portal for plate solving images. AIJ provides research grade image calibration and analysis tools with a GUI driven approach, and easily installed cross-platform compatibility. It enables new users, even at the level of undergraduate student, high school student, or amateur astronomer, to quickly start processing, modeling, and plotting astronomical image data with one tightly integrated software package.
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astroimagej image processing and photometric extraction for ultra precise astronomical light curves
arXiv: Instrumentation and Methods for Astrophysics, 2016Co-Authors: Karen A Collins, John F Kielkopf, Keivan G Stassun, F V HessmanAbstract:ImageJ is a graphical user interface (GUI) driven, public domain, Java-based, software package for general image processing traditionally used mainly in life sciences fields. The image processing capabilities of ImageJ are useful and extendable to other scientific fields. Here we present AstroImageJ (AIJ), which provides an astronomy specific image display environment and tools for astronomy specific image calibration and data reduction. Although AIJ maintains the general purpose image processing capabilities of ImageJ, AIJ is streamlined for time-series differential photometry, light curve detrending and fitting, and light curve plotting, especially for applications requiring ultra-precise light curves (e.g., exoplanet transits). AIJ reads and writes standard FITS files, as well as other common image formats, provides FITS header viewing and editing, and is World Coordinate System (WCS) aware, including an automated interface to the astrometry.net web portal for plate solving images. AIJ provides research grade image calibration and analysis tools with a GUI driven approach, and easily installed cross-platform compatibility. It enables new users, even at the level of undergraduate student, high school student, or amateur astronomer, to quickly start processing, modeling, and plotting astronomical image data with one tightly integrated software package.
Alan Heirich - One of the best experts on this subject based on the ideXlab platform.
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SIGGRAPH - Efficient image-based methods for rendering soft shadows
Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00, 2000Co-Authors: Maneesh Agrawala, Ravi Ramamoorthi, Alan Heirich, Laurent MollAbstract:We present two efficient imaged-based approaches for computation and display of high-quality soft shadows from area light sources. Our methods are related to shadow maps and provide the associated benefits. The computation time and memory requirements for adding soft shadows to an image depend on image size and the number of lights, not geometric scene complexity. We also show that because area light sources are localized in space, soft shadow computations are particularly well suited to imaged-based rendering techniques. Our first approach— layered attenuation maps —achieves interactive rendering rates, but limits sampling flexibility, while our second method— coherence-based raytracing of depth images—is not interactive, but removes the limitations on sampling and yields high quality images at a fraction of the cost of conventional raytracers. Combining the two algorithms allows for rapid previewing followed by efficient high-quality rendering.
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efficient image based methods for rendering soft shadows
International Conference on Computer Graphics and Interactive Techniques, 2000Co-Authors: Maneesh Agrawala, Ravi Ramamoorthi, Alan Heirich, Laurent MollAbstract:We present two efficient imaged-based approaches for computation and display of high-quality soft shadows from area light sources. Our methods are related to shadow maps and provide the associated benefits. The computation time and memory requirements for adding soft shadows to an image depend on image size and the number of lights, not geometric scene complexity. We also show that because area light sources are localized in space, soft shadow computations are particularly well suited to imaged-based rendering techniques. Our first approach— layered attenuation maps —achieves interactive rendering rates, but limits sampling flexibility, while our second method— coherence-based raytracing of depth images—is not interactive, but removes the limitations on sampling and yields high quality images at a fraction of the cost of conventional raytracers. Combining the two algorithms allows for rapid previewing followed by efficient high-quality rendering.
Ravi Ramamoorthi - One of the best experts on this subject based on the ideXlab platform.
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SIGGRAPH - Efficient image-based methods for rendering soft shadows
Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00, 2000Co-Authors: Maneesh Agrawala, Ravi Ramamoorthi, Alan Heirich, Laurent MollAbstract:We present two efficient imaged-based approaches for computation and display of high-quality soft shadows from area light sources. Our methods are related to shadow maps and provide the associated benefits. The computation time and memory requirements for adding soft shadows to an image depend on image size and the number of lights, not geometric scene complexity. We also show that because area light sources are localized in space, soft shadow computations are particularly well suited to imaged-based rendering techniques. Our first approach— layered attenuation maps —achieves interactive rendering rates, but limits sampling flexibility, while our second method— coherence-based raytracing of depth images—is not interactive, but removes the limitations on sampling and yields high quality images at a fraction of the cost of conventional raytracers. Combining the two algorithms allows for rapid previewing followed by efficient high-quality rendering.
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efficient image based methods for rendering soft shadows
International Conference on Computer Graphics and Interactive Techniques, 2000Co-Authors: Maneesh Agrawala, Ravi Ramamoorthi, Alan Heirich, Laurent MollAbstract:We present two efficient imaged-based approaches for computation and display of high-quality soft shadows from area light sources. Our methods are related to shadow maps and provide the associated benefits. The computation time and memory requirements for adding soft shadows to an image depend on image size and the number of lights, not geometric scene complexity. We also show that because area light sources are localized in space, soft shadow computations are particularly well suited to imaged-based rendering techniques. Our first approach— layered attenuation maps —achieves interactive rendering rates, but limits sampling flexibility, while our second method— coherence-based raytracing of depth images—is not interactive, but removes the limitations on sampling and yields high quality images at a fraction of the cost of conventional raytracers. Combining the two algorithms allows for rapid previewing followed by efficient high-quality rendering.
