The Experts below are selected from a list of 5232 Experts worldwide ranked by ideXlab platform
Blair Macintyre - One of the best experts on this subject based on the ideXlab platform.
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a non Photorealistic Rendering framework with temporal coherence for augmented reality
International Symposium on Mixed and Augmented Reality, 2012Co-Authors: Jiajian Chen, Greg Turk, Blair MacintyreAbstract:Many augmented reality (AR) applications require a seamless blending of real and virtual content as key to increased immersion and improved user experiences. Photorealistic and non-Photorealistic Rendering (NPR) are two ways to achieve this goal. Compared with Photorealistic Rendering, NPR stylizes both the real and virtual content and makes them indistinguishable. Maintaining temporal coherence is a key challenge in NPR. We propose a NPR framework with support for temporal coherence by leveraging model-space information. Our systems targets painterly Rendering styles of NPR. There are three major steps in this Rendering framework for creating coherent results: tensor field creation, brush anchor placement, and brush stroke reshaping. To achieve temporal coherence for the final rendered results, we propose a new projection-based surface sampling algorithm which generates anchor points on model surfaces. The 2D projections of these samples are uniformly distributed in image space for optimal brush stroke placement. We also propose a general method for averaging various properties of brush stroke textures, such as their skeletons and colors, to further improve the temporal coherence. We apply these methods to both static and animated models to create a painterly Rendering style for AR. Compared with existing image space algorithms our method renders AR with NPR effects with a high degree of coherence.
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ISMAR - A non-Photorealistic Rendering framework with temporal coherence for augmented reality
2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2012Co-Authors: Jiajian Chen, Greg Turk, Blair MacintyreAbstract:Many augmented reality (AR) applications require a seamless blending of real and virtual content as key to increased immersion and improved user experiences. Photorealistic and non-Photorealistic Rendering (NPR) are two ways to achieve this goal. Compared with Photorealistic Rendering, NPR stylizes both the real and virtual content and makes them indistinguishable. Maintaining temporal coherence is a key challenge in NPR. We propose a NPR framework with support for temporal coherence by leveraging model-space information. Our systems targets painterly Rendering styles of NPR. There are three major steps in this Rendering framework for creating coherent results: tensor field creation, brush anchor placement, and brush stroke reshaping. To achieve temporal coherence for the final rendered results, we propose a new projection-based surface sampling algorithm which generates anchor points on model surfaces. The 2D projections of these samples are uniformly distributed in image space for optimal brush stroke placement. We also propose a general method for averaging various properties of brush stroke textures, such as their skeletons and colors, to further improve the temporal coherence. We apply these methods to both static and animated models to create a painterly Rendering style for AR. Compared with existing image space algorithms our method renders AR with NPR effects with a high degree of coherence.
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Non-Photorealistic Rendering with coherence for augmented reality
2012Co-Authors: Blair Macintyre, Jiajian ChenAbstract:A seamless blending of the real and virtual worlds is key to increased immersion and improved user experiences for augmented reality (AR). Photorealistic and non-Photorealistic Rendering (NPR) are two ways to achieve this goal. Non-Photorealistic Rendering creates an abstract and stylized version of both the real and virtual world, making them indistinguishable. NPR hides unnecessary and overwhelming details of the world, and reveals and emphasizes important information of the scene. This could be particularly useful in some applications (e.g., AR/VR aided machine repair, or for virtual medical surgery) or for certain AR games with artistic stylization. Achieving temporal coherence is a key challenge for all NPR algorithms. Rendered results are temporally coherent when each frame smoothly and seamlessly transitions to the next one without visual flickering or artifacts that distract the eye from perceived smoothness. For example, temporal coherence is maintained in brush-based NPR algorithms if the brush stroke located at a certain anchor point smoothly transitions to a corresponding anchor point from one frame to the next. NPR algorithms with coherence are interesting in both general computer graphics and AR/VR areas. Although NPR has attracted many researchers’ interest in the AR/VR community, very few of the existing algorithms can support temporal coherence. Rendering stylized AR without coherence processing causes the final results to be visually distracting. While various NPR algorithms with coherence support have been proposed in the general graphics community for video processing, many of these algorithms require thorough analysis of all frames of the input video and cannot be directly applied to real-time AR applications. We have investigated existing NPR algorithms with coherence in both general graphics and AR/VR areas. These algorithms are divided into two categories: Model Space and Image Space. We present several NPR algorithms with coherence for AR: a watercolor inspired NPR algorithm, a painterly Rendering algorithm, and NPR algorithms in the model space that will support several styling effects.
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watercolor inspired non Photorealistic Rendering for augmented reality
Virtual Reality Software and Technology, 2008Co-Authors: Jiajian Chen, Greg Turk, Blair MacintyreAbstract:Non-Photorealistic Rendering (NPR) is an attractive approach for seamlessly blending virtual and physical content in Augmented Reality (AR) applications. Simple NRP techniques, that use information from a single rendered image, have been demonstrated in real-time AR systems. More complex NRP techniques require visual coherence across multiple frames of video, and typical offline algorithms are expensive and/or require global knowledge of the video sequence. To use such techniques in real-time AR, fast algorithms must be developed that do not require information past the currently rendered frame. This paper presents a watercolor-like NPR style for AR applications with some degree of visual coherence.
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VRST - Watercolor inspired non-Photorealistic Rendering for augmented reality
Proceedings of the 2008 ACM symposium on Virtual reality software and technology - VRST '08, 2008Co-Authors: Jiajian Chen, Greg Turk, Blair MacintyreAbstract:Non-Photorealistic Rendering (NPR) is an attractive approach for seamlessly blending virtual and physical content in Augmented Reality (AR) applications. Simple NRP techniques, that use information from a single rendered image, have been demonstrated in real-time AR systems. More complex NRP techniques require visual coherence across multiple frames of video, and typical offline algorithms are expensive and/or require global knowledge of the video sequence. To use such techniques in real-time AR, fast algorithms must be developed that do not require information past the currently rendered frame. This paper presents a watercolor-like NPR style for AR applications with some degree of visual coherence.
Jiajian Chen - One of the best experts on this subject based on the ideXlab platform.
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a non Photorealistic Rendering framework with temporal coherence for augmented reality
International Symposium on Mixed and Augmented Reality, 2012Co-Authors: Jiajian Chen, Greg Turk, Blair MacintyreAbstract:Many augmented reality (AR) applications require a seamless blending of real and virtual content as key to increased immersion and improved user experiences. Photorealistic and non-Photorealistic Rendering (NPR) are two ways to achieve this goal. Compared with Photorealistic Rendering, NPR stylizes both the real and virtual content and makes them indistinguishable. Maintaining temporal coherence is a key challenge in NPR. We propose a NPR framework with support for temporal coherence by leveraging model-space information. Our systems targets painterly Rendering styles of NPR. There are three major steps in this Rendering framework for creating coherent results: tensor field creation, brush anchor placement, and brush stroke reshaping. To achieve temporal coherence for the final rendered results, we propose a new projection-based surface sampling algorithm which generates anchor points on model surfaces. The 2D projections of these samples are uniformly distributed in image space for optimal brush stroke placement. We also propose a general method for averaging various properties of brush stroke textures, such as their skeletons and colors, to further improve the temporal coherence. We apply these methods to both static and animated models to create a painterly Rendering style for AR. Compared with existing image space algorithms our method renders AR with NPR effects with a high degree of coherence.
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ISMAR - A non-Photorealistic Rendering framework with temporal coherence for augmented reality
2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2012Co-Authors: Jiajian Chen, Greg Turk, Blair MacintyreAbstract:Many augmented reality (AR) applications require a seamless blending of real and virtual content as key to increased immersion and improved user experiences. Photorealistic and non-Photorealistic Rendering (NPR) are two ways to achieve this goal. Compared with Photorealistic Rendering, NPR stylizes both the real and virtual content and makes them indistinguishable. Maintaining temporal coherence is a key challenge in NPR. We propose a NPR framework with support for temporal coherence by leveraging model-space information. Our systems targets painterly Rendering styles of NPR. There are three major steps in this Rendering framework for creating coherent results: tensor field creation, brush anchor placement, and brush stroke reshaping. To achieve temporal coherence for the final rendered results, we propose a new projection-based surface sampling algorithm which generates anchor points on model surfaces. The 2D projections of these samples are uniformly distributed in image space for optimal brush stroke placement. We also propose a general method for averaging various properties of brush stroke textures, such as their skeletons and colors, to further improve the temporal coherence. We apply these methods to both static and animated models to create a painterly Rendering style for AR. Compared with existing image space algorithms our method renders AR with NPR effects with a high degree of coherence.
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Non-Photorealistic Rendering with coherence for augmented reality
2012Co-Authors: Blair Macintyre, Jiajian ChenAbstract:A seamless blending of the real and virtual worlds is key to increased immersion and improved user experiences for augmented reality (AR). Photorealistic and non-Photorealistic Rendering (NPR) are two ways to achieve this goal. Non-Photorealistic Rendering creates an abstract and stylized version of both the real and virtual world, making them indistinguishable. NPR hides unnecessary and overwhelming details of the world, and reveals and emphasizes important information of the scene. This could be particularly useful in some applications (e.g., AR/VR aided machine repair, or for virtual medical surgery) or for certain AR games with artistic stylization. Achieving temporal coherence is a key challenge for all NPR algorithms. Rendered results are temporally coherent when each frame smoothly and seamlessly transitions to the next one without visual flickering or artifacts that distract the eye from perceived smoothness. For example, temporal coherence is maintained in brush-based NPR algorithms if the brush stroke located at a certain anchor point smoothly transitions to a corresponding anchor point from one frame to the next. NPR algorithms with coherence are interesting in both general computer graphics and AR/VR areas. Although NPR has attracted many researchers’ interest in the AR/VR community, very few of the existing algorithms can support temporal coherence. Rendering stylized AR without coherence processing causes the final results to be visually distracting. While various NPR algorithms with coherence support have been proposed in the general graphics community for video processing, many of these algorithms require thorough analysis of all frames of the input video and cannot be directly applied to real-time AR applications. We have investigated existing NPR algorithms with coherence in both general graphics and AR/VR areas. These algorithms are divided into two categories: Model Space and Image Space. We present several NPR algorithms with coherence for AR: a watercolor inspired NPR algorithm, a painterly Rendering algorithm, and NPR algorithms in the model space that will support several styling effects.
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watercolor inspired non Photorealistic Rendering for augmented reality
Virtual Reality Software and Technology, 2008Co-Authors: Jiajian Chen, Greg Turk, Blair MacintyreAbstract:Non-Photorealistic Rendering (NPR) is an attractive approach for seamlessly blending virtual and physical content in Augmented Reality (AR) applications. Simple NRP techniques, that use information from a single rendered image, have been demonstrated in real-time AR systems. More complex NRP techniques require visual coherence across multiple frames of video, and typical offline algorithms are expensive and/or require global knowledge of the video sequence. To use such techniques in real-time AR, fast algorithms must be developed that do not require information past the currently rendered frame. This paper presents a watercolor-like NPR style for AR applications with some degree of visual coherence.
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VRST - Watercolor inspired non-Photorealistic Rendering for augmented reality
Proceedings of the 2008 ACM symposium on Virtual reality software and technology - VRST '08, 2008Co-Authors: Jiajian Chen, Greg Turk, Blair MacintyreAbstract:Non-Photorealistic Rendering (NPR) is an attractive approach for seamlessly blending virtual and physical content in Augmented Reality (AR) applications. Simple NRP techniques, that use information from a single rendered image, have been demonstrated in real-time AR systems. More complex NRP techniques require visual coherence across multiple frames of video, and typical offline algorithms are expensive and/or require global knowledge of the video sequence. To use such techniques in real-time AR, fast algorithms must be developed that do not require information past the currently rendered frame. This paper presents a watercolor-like NPR style for AR applications with some degree of visual coherence.
Greg Turk - One of the best experts on this subject based on the ideXlab platform.
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a non Photorealistic Rendering framework with temporal coherence for augmented reality
International Symposium on Mixed and Augmented Reality, 2012Co-Authors: Jiajian Chen, Greg Turk, Blair MacintyreAbstract:Many augmented reality (AR) applications require a seamless blending of real and virtual content as key to increased immersion and improved user experiences. Photorealistic and non-Photorealistic Rendering (NPR) are two ways to achieve this goal. Compared with Photorealistic Rendering, NPR stylizes both the real and virtual content and makes them indistinguishable. Maintaining temporal coherence is a key challenge in NPR. We propose a NPR framework with support for temporal coherence by leveraging model-space information. Our systems targets painterly Rendering styles of NPR. There are three major steps in this Rendering framework for creating coherent results: tensor field creation, brush anchor placement, and brush stroke reshaping. To achieve temporal coherence for the final rendered results, we propose a new projection-based surface sampling algorithm which generates anchor points on model surfaces. The 2D projections of these samples are uniformly distributed in image space for optimal brush stroke placement. We also propose a general method for averaging various properties of brush stroke textures, such as their skeletons and colors, to further improve the temporal coherence. We apply these methods to both static and animated models to create a painterly Rendering style for AR. Compared with existing image space algorithms our method renders AR with NPR effects with a high degree of coherence.
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ISMAR - A non-Photorealistic Rendering framework with temporal coherence for augmented reality
2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2012Co-Authors: Jiajian Chen, Greg Turk, Blair MacintyreAbstract:Many augmented reality (AR) applications require a seamless blending of real and virtual content as key to increased immersion and improved user experiences. Photorealistic and non-Photorealistic Rendering (NPR) are two ways to achieve this goal. Compared with Photorealistic Rendering, NPR stylizes both the real and virtual content and makes them indistinguishable. Maintaining temporal coherence is a key challenge in NPR. We propose a NPR framework with support for temporal coherence by leveraging model-space information. Our systems targets painterly Rendering styles of NPR. There are three major steps in this Rendering framework for creating coherent results: tensor field creation, brush anchor placement, and brush stroke reshaping. To achieve temporal coherence for the final rendered results, we propose a new projection-based surface sampling algorithm which generates anchor points on model surfaces. The 2D projections of these samples are uniformly distributed in image space for optimal brush stroke placement. We also propose a general method for averaging various properties of brush stroke textures, such as their skeletons and colors, to further improve the temporal coherence. We apply these methods to both static and animated models to create a painterly Rendering style for AR. Compared with existing image space algorithms our method renders AR with NPR effects with a high degree of coherence.
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watercolor inspired non Photorealistic Rendering for augmented reality
Virtual Reality Software and Technology, 2008Co-Authors: Jiajian Chen, Greg Turk, Blair MacintyreAbstract:Non-Photorealistic Rendering (NPR) is an attractive approach for seamlessly blending virtual and physical content in Augmented Reality (AR) applications. Simple NRP techniques, that use information from a single rendered image, have been demonstrated in real-time AR systems. More complex NRP techniques require visual coherence across multiple frames of video, and typical offline algorithms are expensive and/or require global knowledge of the video sequence. To use such techniques in real-time AR, fast algorithms must be developed that do not require information past the currently rendered frame. This paper presents a watercolor-like NPR style for AR applications with some degree of visual coherence.
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VRST - Watercolor inspired non-Photorealistic Rendering for augmented reality
Proceedings of the 2008 ACM symposium on Virtual reality software and technology - VRST '08, 2008Co-Authors: Jiajian Chen, Greg Turk, Blair MacintyreAbstract:Non-Photorealistic Rendering (NPR) is an attractive approach for seamlessly blending virtual and physical content in Augmented Reality (AR) applications. Simple NRP techniques, that use information from a single rendered image, have been demonstrated in real-time AR systems. More complex NRP techniques require visual coherence across multiple frames of video, and typical offline algorithms are expensive and/or require global knowledge of the video sequence. To use such techniques in real-time AR, fast algorithms must be developed that do not require information past the currently rendered frame. This paper presents a watercolor-like NPR style for AR applications with some degree of visual coherence.
Aaron Hertzmann - One of the best experts on this subject based on the ideXlab platform.
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non Photorealistic Rendering and the science of art
Non-Photorealistic Animation and Rendering, 2010Co-Authors: Aaron HertzmannAbstract:I argue that Non-Photorealistic Rendering (NPR) research will play a key role in the scientific understanding of visual art and illustration. NPR can contribute to scientific understanding of two kinds of problems: how do artists create imagery, and how do observers respond to artistic imagery? I sketch out some of the open problems, how NPR can help, and what some possible theories might look like. Additionally, I discuss the thorny problem of how to evaluate NPR research and theories.
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NPAR - Non-Photorealistic Rendering and the science of art
Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering - NPAR 10, 2010Co-Authors: Aaron HertzmannAbstract:I argue that Non-Photorealistic Rendering (NPR) research will play a key role in the scientific understanding of visual art and illustration. NPR can contribute to scientific understanding of two kinds of problems: how do artists create imagery, and how do observers respond to artistic imagery? I sketch out some of the open problems, how NPR can help, and what some possible theories might look like. Additionally, I discuss the thorny problem of how to evaluate NPR research and theories.
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Introduction to 3D Non-Photorealistic Rendering: Silhouettes and Outlines
1999Co-Authors: Aaron HertzmannAbstract:In these notes, we survey some of the basic tools used for non-Photorealistic Rendering of 3D scenes. We will primarily focus on detecting outlines of object shape: silhouettes, boundaries, and creases. (Hatching and shading, which are also very important for communicating shape, are discussed elsewhere in the course notes.) The algorithms in this section can be divided into algorithms that operate in the image space (2D), and algorithms that operate in world space (3D).
Penny Rheingans - One of the best experts on this subject based on the ideXlab platform.
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volume illustration non Photorealistic Rendering of volume models
IEEE Visualization, 2000Co-Authors: David S Ebert, Penny RheingansAbstract:Accurately and automatically conveying the structure of a volume model is a problem that has not been fully solved by existing volume Rendering approaches. Physics-based volume Rendering approaches create images which may match the appearance of translucent materials in nature but may not embody important structural details. Transfer function approaches allow flexible design of the volume appearance but generally require substantial hand-tuning for each new data set in order to be effective. We introduce the volume illustration approach, combining the familiarity of a physics-based illumination model with the ability to enhance important features using non-Photorealistic Rendering techniques. Since the features to be enhanced are defined on the basis of local volume characteristics rather than volume sample values, the application of volume illustration techniques requires less manual tuning than the design of a good transfer function. Volume illustration provides a flexible unified framework for enhancing structural perception of volume models through the amplification of features and the addition of illumination effects.
