H. Lensch, J. Kautz, M. Goesele, W. Heidrich, and H.-P. Seidel, Image-based reconstruction of spatially varying materials, Rendering Techniques '01, 2001, pp. 104-- 115. 113 Home/Search Document Details and Download
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Fast Extraction of BRDFs and Material Maps from Images - Jaroszkiewicz (2003) (Correct)
....Other methods of BRDF representation rely on the summation of basis functions, for example, spherical harmonics [21] Malzbender, Gelb and Wolters [16] used a polynomial basis to reconstruct surface color under varying light direction. This method captures spatial variation of color on surfaces [11, 14] and is equivalent to the use of spherical harmonics. McAllister, Lastra and Heidrich [19] fitted Lafortune lobes [12] to measured data and stored the coe#cients in texture maps, allowing real time rendering of spatially varying BRDFs. Lensch et al. 14] were successful in recovering spatially ....
....spatial variation of color on surfaces [11, 14] and is equivalent to the use of spherical harmonics. McAllister, Lastra and Heidrich [19] fitted Lafortune lobes [12] to measured data and stored the coe#cients in texture maps, allowing real time rendering of spatially varying BRDFs. Lensch et al. [14] were successful in recovering spatially variant materials by grouping samples into clusters representing a single material. More recently Hertzmann and Seitz [7] developed their algorithm of material recovery based on clustering method. An advantage of these algorithms is the high accuracy of the ....
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Hendrik P. A. Lensch, Jan Kautz, Michael Goesele, Wolfgang Heidrich, and Hans-Peter Seidel. Image-Based Reconstruction of Spatially Varying Materials. In Rendering Techniques: Eurographics Rendering Workshop, 2001.
Capturing the Shape of a Dynamic World - Fast! - Magnor, Seidel Self-citation (Seidel) (Correct)
....intermittently not visible object regions. However, a suitably parameterized geometry model must be available, and the necessary assumptions about scene content restrict general applicability. Another direction of future research concerns the reconstruction of object surface reflection properties [14]. To be able to edit the illumination of virtual scenes that have been augmented by real world objects, non Lambertian surface characteristics must be known to be considered correctly. On the same note, object surface reflection prop Figure 10. A dense depth map is obtained for the segmented ....
H. Lensch, J. Kautz, M. Gosele, W. Heidrich, and H.-P. Seidel. Image-based reconstruction of spatially varying materials. Proc. ACM 12th Eurographics Workshop on Rendering, London, UK, pages 104--115, 2001.
A Framework for the Acquisition, Processing and Interactive.. - Lensch, al. (2001) Self-citation (Lensch Goesele Seidel) (Correct)
....The collected data allows for realistic relighting of the object illuminated by arbitrary virtual environments. Unfortunately, a very large amount of data is needed both during the acquisition and for display. 13 4. 3 Measuring Spatially Varying BRDFs Based on Marschner s approach, Lensch et al. [29] developed a technique that is able to reconstruct spatially varying reflection properties by just a very few images (around 25) The key idea here is that most objects typically consist of a small number of materials only, i.e. many points on the object s surface have approximately the same ....
....of the clustering step. Right: Bird with the spatially varying BRDF determined by projecting each lumitexel into a basis of BRDFs. Note the subtle changes of the materials making the object look realistic. corresponding system of equations is computed using singular value decomposition (see [29] for more details) In Figure 4.4 the result of projecting the collected data for every point into a basis of BRDF is shown. The method allows for accurately shaded, photorealistic rendering of complex solid objects from new viewpoints under arbitrary lighting conditions with relatively small ....
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Hendrik Lensch, Jan Kautz, Michael Goesele, Wolfgang Heidrich, and Hans-Peter Seidel. Image-based reconstruction of spatially varying materials. In Steven Gortler and Karol Myszkowski, editors, Proceedings of the 12th Eurographics Workshop on Rendering, pages 104--115, London, Great Britain, 2001. Springer.
Submitted to the Department of - Electrical Engineering And (Correct)
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H. Lensch, J. Kautz, M. Goesele, W. Heidrich, and H.-P. Seidel, Image-based reconstruction of spatially varying materials, Rendering Techniques '01, 2001, pp. 104-- 115. 113
Submitted to the Department of Electrical Engineering and.. - Science In Partial (Correct)
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H. Lensch, J. Kautz, M. Goesele, W. Heidrich, and H.-P. Seidel. Image-based reconstruction of spatially varying materials. In Proceedings of the 12th Eurographics Workshop on Rendering, June 2001.
Acquisition, Synthesis and Rendering of.. - Müller, Meseth.. (2004) (Correct)
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LENSCH H. P., KAUTZ J., GOESELE M., HEI- DRICH2 W., SEIDEL H.-P.: Image-based reconstruction of spatially varying materials. Proceedings of Eurographics Rendering Workshop 01 (2001). 73
Interactive Rendering with Bidirectional Texture Functions - Suykens, Berge, Lagae, Dutré (2003) (4 citations) (Correct)
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H.P.A. Lensch, J. Kautz, M. Goesele, W. Heidrich, and H.-P. Seidel. Image-based reconstruction of spatially varying materials. In Eurographics Workshop on Rendering, pages 104--115, 2001. 2
Submitted to the Department of Electrical Engineering and.. - Science In Partial (Correct)
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H. Lensch, J. Kautz, M. Goesele, W. Heidrich, and H.-P. Seidel. Image-based reconstruction of spatially varying materials. In Proceedings of the 12th Eurographics Workshop on Rendering, June 2001.
Rendering Deformable Surface Reflectance Fields - Weyrich, Pfister, Gross (2004) (1 citation) (Correct)
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H. Lensch, J. Kautz, M. Goesele, W. Heidrich, and H.-P. Seidel. Image-based reconstruction of spatially varying materials. In pages 104--115, June 2001.
Submitted to the Department of Electrical Engineering and.. - Science In Partial (Correct)
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H. Lensch, J. Kautz, M. Goesele, W. Heidrich, and H.-P. Seidel. Image-based reconstruction of spatially varying materials. In Proceedings of the 12th Eurographics Workshop on Rendering, June 2001.
Lightweight Face Relighting - Paris, Sillion, Quan (2003) (Correct)
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H. Lensch, J. Kautz, M. Goesele, W. Heidrich, and H.-P. Seidel. Image-based reconstruction of spatially varying materials. In Proc. of Eurographics Workshop on Rendering, 2001.
Fast Extraction of BRDFs and Material Maps from Images - Rafal Jaroszkiewicz Rjaroszk (2003) (Correct)
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Hendrik P. A. Lensch, Jan Kautz, Michael Goesele, Wolfgang Heidrich, and Hans-Peter Seidel. Image-Based Reconstruction of Spatially Varying Materials. In Rendering Techniques 2001.
A Data-Driven Reflectance Model - Matusik (2003) (7 citations) (Correct)
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H. Lensch, J. Kautz, M. Goesele, W. Heidrich, and H.-P. Seidel, Image-based reconstruction of spatially varying materials, Rendering Techniques '01, 2001, pp. 104-- 115. 113
Preserving Realism in real-time Rendering of Bidirectional .. - Meseth, Müller, Klein (2003) (Correct)
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H. Lensch, M. Goesele, J. Kautz, W. Heidrich, and H.-P. Seidel. Image-Based Reconstruction of Spatially Varying Materials. In 12th Eurographics Workshop on Rendering, pp. 103-- 114, 2001
Acquisition and Rendering of Transparent and.. - Matusik, Pfister.. (2002) (4 citations) (Correct)
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H. Lensch, J. Kautz, M. Goesele, W. Heidrich, and H.-P. Seidel. Image-Based Reconstruction of Spatially Varying Materials. In Proceedings of the 12th Eurographics Workshop on Rendering. June 2001. 2
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