The Experts below are selected from a list of 5433 Experts worldwide ranked by ideXlab platform
Sing Kang - One of the best experts on this subject based on the ideXlab platform.
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Stereo for Image-Based Rendering using Image Over-Segmentation
International Journal of Computer Vision, 2007Co-Authors: C Zitnick, Sing KangAbstract:In this paper, we propose a stereo method specifically designed for Image-Based Rendering. For effective Image-Based Rendering, the interpolated views need only be visually plausible. The implication is that the extracted depths do not need to be correct, as long as the recovered views appear to be correct. Our stereo algorithm relies on over-segmenting the source images. Computing match values over entire segments rather than single pixels provides robustness to noise and intensity bias. Color-based segmentation also helps to more precisely delineate object boundaries, which is important for reducing boundary artifacts in synthesized views. The depths of the segments for each image are computed using loopy belief propagation within a Markov Random Field framework. Neighboring MRFs are used for occlusion reasoning and ensuring that neighboring depth maps are consistent. We tested our stereo algorithm on several stereo pairs from the Middlebury data set, and show Rendering results based on two of these data sets. We also show results for video-based Rendering. %Z %U %+ %^
Gary Bishop - One of the best experts on this subject based on the ideXlab platform.
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plenoptic modeling an image based Rendering system
International Conference on Computer Graphics and Interactive Techniques, 1995Co-Authors: Leonard Mcmillan, Gary BishopAbstract:Image-Based Rendering is a powerful new approach for generating real-time photorealistic computer graphics. It can provide convincing animations without an explicit geometric representation. We use the “plenoptic function” of Adelson and Bergen to provide a concise problem statement for Image-Based Rendering paradigms, such as morphing and view interpolation. The plenoptic function is a parameterized function for describing everything that is visible from a given point in space. We present an Image-Based Rendering system based on sampling, reconstructing, and resampling the plenoptic function. In addition, we introduce a novel visible surface algorithm and a geometric invariant for cylindrical projections that is equivalent to the epipolar constraint defined for planar projections.
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SIGGRAPH - Plenoptic modeling: an Image-Based Rendering system
Proceedings of the 22nd annual conference on Computer graphics and interactive techniques - SIGGRAPH '95, 1995Co-Authors: Leonard Mcmillan, Gary BishopAbstract:Image-Based Rendering is a powerful new approach for generating real-time photorealistic computer graphics. It can provide convincing animations without an explicit geometric representation. We use the “plenoptic function” of Adelson and Bergen to provide a concise problem statement for Image-Based Rendering paradigms, such as morphing and view interpolation. The plenoptic function is a parameterized function for describing everything that is visible from a given point in space. We present an Image-Based Rendering system based on sampling, reconstructing, and resampling the plenoptic function. In addition, we introduce a novel visible surface algorithm and a geometric invariant for cylindrical projections that is equivalent to the epipolar constraint defined for planar projections.
C Zitnick - One of the best experts on this subject based on the ideXlab platform.
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Stereo for Image-Based Rendering using Image Over-Segmentation
International Journal of Computer Vision, 2007Co-Authors: C Zitnick, Sing KangAbstract:In this paper, we propose a stereo method specifically designed for Image-Based Rendering. For effective Image-Based Rendering, the interpolated views need only be visually plausible. The implication is that the extracted depths do not need to be correct, as long as the recovered views appear to be correct. Our stereo algorithm relies on over-segmenting the source images. Computing match values over entire segments rather than single pixels provides robustness to noise and intensity bias. Color-based segmentation also helps to more precisely delineate object boundaries, which is important for reducing boundary artifacts in synthesized views. The depths of the segments for each image are computed using loopy belief propagation within a Markov Random Field framework. Neighboring MRFs are used for occlusion reasoning and ensuring that neighboring depth maps are consistent. We tested our stereo algorithm on several stereo pairs from the Middlebury data set, and show Rendering results based on two of these data sets. We also show results for video-based Rendering. %Z %U %+ %^
Leonard Mcmillan - One of the best experts on this subject based on the ideXlab platform.
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plenoptic modeling an image based Rendering system
International Conference on Computer Graphics and Interactive Techniques, 1995Co-Authors: Leonard Mcmillan, Gary BishopAbstract:Image-Based Rendering is a powerful new approach for generating real-time photorealistic computer graphics. It can provide convincing animations without an explicit geometric representation. We use the “plenoptic function” of Adelson and Bergen to provide a concise problem statement for Image-Based Rendering paradigms, such as morphing and view interpolation. The plenoptic function is a parameterized function for describing everything that is visible from a given point in space. We present an Image-Based Rendering system based on sampling, reconstructing, and resampling the plenoptic function. In addition, we introduce a novel visible surface algorithm and a geometric invariant for cylindrical projections that is equivalent to the epipolar constraint defined for planar projections.
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SIGGRAPH - Plenoptic modeling: an Image-Based Rendering system
Proceedings of the 22nd annual conference on Computer graphics and interactive techniques - SIGGRAPH '95, 1995Co-Authors: Leonard Mcmillan, Gary BishopAbstract:Image-Based Rendering is a powerful new approach for generating real-time photorealistic computer graphics. It can provide convincing animations without an explicit geometric representation. We use the “plenoptic function” of Adelson and Bergen to provide a concise problem statement for Image-Based Rendering paradigms, such as morphing and view interpolation. The plenoptic function is a parameterized function for describing everything that is visible from a given point in space. We present an Image-Based Rendering system based on sampling, reconstructing, and resampling the plenoptic function. In addition, we introduce a novel visible surface algorithm and a geometric invariant for cylindrical projections that is equivalent to the epipolar constraint defined for planar projections.
Hanns Ruder - One of the best experts on this subject based on the ideXlab platform.
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General relativistic Image-Based Rendering
The Visual Computer, 2020Co-Authors: Daniel Kobras, Daniel Weiskopf, Hanns RuderAbstract:Imaged-based Rendering is a well-known method in computer graphics to achieve photo-realistic images. In this paper we show how conventional Image-Based Rendering algorithms can be extended to visualize general relativistic effects in a restricted class of spacetimes. We propose a generalized aberration formula in order to treat the visualization of special and general relativistic effects on the same footing. In this way, imagebased general relativistic Rendering can be regarded as an extension of special relativistic Rendering. As an example, we present snapshots from the viewpoint of an observer traveling at warp speed.
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WSCG - Image Based Rendering and General Relativity
2020Co-Authors: Daniel Kobras, Daniel Weiskopf, Hanns RuderAbstract:Imaged-based Rendering is a well-known method in computer graphics to achieve photo-realistic images. In this paper we show how conventional Image-Based Rendering algorithms can be extended to visualize general relativistic effects in a restricted class of spacetimes. We propose a generalized aberration formula in order to treat the visualization of special and general relativistic effects on the same footing. In this way, Image-Based general relativistic Rendering can be regarded as an extension of special relativistic Rendering. As an example, we present snapshots from the viewpoint of an observer traveling at warp speed.
