| Estimating Illumination Parameters Using Spherical Harmonics Coefficients in Frequency Space |
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| 作者姓名： | 谢峰 陶霖密 徐光祐 |
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| 作者单位： | Key Laboratory of Pervasive Computing (Tsinghua University) of the Ministry of Education Department of Computer Science and Technology Tsinghua University，Key Laboratory of Pervasive Computing (Tsinghua University) of the Ministry of Education Department of Computer Science and Technology Tsinghua University，Key Laboratory of Pervasive Computing (Tsinghua University) of the Ministry of Education Department of Computer Science and Technology Tsinghua University，Beijing 100084 China Beijing 100084 China Beijing 100084 China |
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| 摘 要： | An algorithm is presented for estimating the direction and strength of point light with the strength of ambient illumination. Existing approaches evaluate these illumination parameters directly in the high dimensional image space, while we estimate the parameters in two steps: first by projecting the image to an orthogonal linear subspace based on spherical harmonic basis functions and then by calculating the parameters in the low dimensional subspace. The test results using the CMU PIE database and Yale Database B show the stability and effectiveness of the method. The resulting illumination information can be used to synthesize more realistic relighting images and to recognize objects under variable illumination.
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| 关 键 词： | 照明参数 估计方法 球面调和系数 图像再调光 视频系统 |
| 收稿时间： | 2 September 2005 |
| 修稿时间： | 2005-09-022006-01-09 |
Estimating Illumination Parameters Using Spherical Harmonics Coefficients in Frequency Space |
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| XIE Feng,TAO Linmi,XU Guangyou.Estimating Illumination Parameters Using Spherical Harmonics Coefficients in Frequency Space[J].Tsinghua Science and Technology,2007,12(1):44-50. |
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| Authors: | XIE Feng TAO Linmi XU Guangyou |
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| Institution: | Tsinghua University |
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| Abstract: | An algorithm is presented for estimating the direction and strength of point light with the strength of ambient illumination. Existing approaches evaluate these illumination parameters directly in the high dimensional image space, while we estimate the parameters in two steps: first by projecting the image to an orthogonal linear subspace based on spherical harmonic basis functions and then by calculating the parameters in the low dimensional subspace. The test results using the CMU PIE database and Yale Database B show the stability and effectiveness of the method. The resulting illumination information can be used to synthesize more realistic relighting images and to recognize objects under variable illumination. |
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| Keywords: | illumination parameters estimation spherical harmonic image relighting |
| 本文献已被 CNKI 维普 万方数据 ScienceDirect 等数据库收录！ |
