A Geometric Analysis of Light Field Rendering
Issue Title: Special Issue on Research at Microsoft Corporation Recently, many image-based modeling and rendering techniques have been successfully designed to render photo-realistic images without the need for explicit 3D geometry. However, these techniques (e.g., light field rendering (Levoy, M. a...
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| Vydáno v: | International journal of computer vision Ročník 58; číslo 2; s. 121 - 138 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
Springer Nature B.V
01.07.2004
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| ISSN: | 0920-5691, 1573-1405 |
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| Abstract | Issue Title: Special Issue on Research at Microsoft Corporation Recently, many image-based modeling and rendering techniques have been successfully designed to render photo-realistic images without the need for explicit 3D geometry. However, these techniques (e.g., light field rendering (Levoy, M. and Hanrahan, P., 1996. In SIGGRAPH 1996 Conference Proceedings, Annual Conference Series, Aug. 1996, pp. 31-42) and Lumigraph (Gortler, S.J., Grzeszczuk, R., Szeliski, R., and Cohen, M.F., 1996. In SIGGRAPH 1996 Conference Proceedings, Annual Conference Series, Aug. 1996, pp. 43-54)) may require a substantial number of images. In this paper, we adopt a geometric approach to investigate the minimum sampling problem for light field rendering, with and without geometry information of the scene. Our key observation is that anti-aliased light field rendering is equivalent to eliminating the "double image" artifacts caused by view interpolation. Specifically, we present a closed-form solution of the minimum sampling rate for light field rendering. The minimum sampling rate is determined by the resolution of the camera and the depth variation of the scene. This rate is ensured if the optimal constant depth for rendering is chosen as the harmonic mean of the maximum and minimum depths of the scene. Moreover, we construct the minimum sampling curve in the joint geometry and image space, with the consideration of depth discontinuity. The minimum sampling curve quantitatively indicates how reduced geometry information can be compensated by increasing the number of images, and vice versa. Experimental results demonstrate the effectiveness of our theoretical analysis.[PUBLICATION ABSTRACT] |
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| AbstractList | Issue Title: Special Issue on Research at Microsoft Corporation Recently, many image-based modeling and rendering techniques have been successfully designed to render photo-realistic images without the need for explicit 3D geometry. However, these techniques (e.g., light field rendering (Levoy, M. and Hanrahan, P., 1996. In SIGGRAPH 1996 Conference Proceedings, Annual Conference Series, Aug. 1996, pp. 31-42) and Lumigraph (Gortler, S.J., Grzeszczuk, R., Szeliski, R., and Cohen, M.F., 1996. In SIGGRAPH 1996 Conference Proceedings, Annual Conference Series, Aug. 1996, pp. 43-54)) may require a substantial number of images. In this paper, we adopt a geometric approach to investigate the minimum sampling problem for light field rendering, with and without geometry information of the scene. Our key observation is that anti-aliased light field rendering is equivalent to eliminating the "double image" artifacts caused by view interpolation. Specifically, we present a closed-form solution of the minimum sampling rate for light field rendering. The minimum sampling rate is determined by the resolution of the camera and the depth variation of the scene. This rate is ensured if the optimal constant depth for rendering is chosen as the harmonic mean of the maximum and minimum depths of the scene. Moreover, we construct the minimum sampling curve in the joint geometry and image space, with the consideration of depth discontinuity. The minimum sampling curve quantitatively indicates how reduced geometry information can be compensated by increasing the number of images, and vice versa. Experimental results demonstrate the effectiveness of our theoretical analysis.[PUBLICATION ABSTRACT] |
| Author | Lin, Zhouchen Shum, Heung-Yeung |
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| Cites_doi | 10.1145/566570.566601 10.1145/237170.237200 10.1145/344779.344932 10.1117/12.386643 10.1117/12.172620 10.1145/344779.344925 10.1145/383259.383309 10.1145/311535.311573 10.1007/978-3-7091-6453-2_11 10.1145/344779.344929 10.1007/978-94-015-8668-9 10.1145/280814.280882 10.1145/166117.166153 10.1145/237170.237199 10.1109/34.969116 10.1007/BFb0015563 10.1145/253284.253296 10.7551/mitpress/2002.003.0004 10.1111/1467-8659.00336 |
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| Title | A Geometric Analysis of Light Field Rendering |
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