| I. Sato and K. Ikeuchi, "Illumination distribution from brightness in shadows", ICCV (2), 875-882, 1999 |
....environments [ 36 ] The geometry was modeled precisely by manual methods. These approaches are able to recover rich models of either the illuminant or the reflectance, but unlike the method that we propose, they cannot recover both. One method which has this capability was recently introduced [ 30 ] . Using a linear relation between lighting coe#cients and pixel values, reliable results were obtained. However 5 Framework Camera geometry Scene geometry Reflectance Illumination Geometric reconstruction recovered recovered reasonable variation reasonable variation Shape from shading single ....
I. Sato, Y. Sato, and K. Ikeuchi. Illumination distribution from brightness in shadows: Adaptive estimation of illumination distribution with unknown reflectance properties in shadow regions. In International Conference on Computer Vision, pages 875--883, 1999.
....light source direction. Both methods require Lambertian surfaces and a segmented image of the object. 12] also exploit the occluding boundary and show that it puts strong constraints on the light source direction. Recent algorithms use known geometry to derive the illumination direction. e.g. [8, 9] derive the illumination distribution by studying shadows around an object of known geometry. In [13] multiple light sources are extracted from a sphere of known size. Previous work depends on segmented images or known geometry. In this article we will not use these assumptions, but only ....
I. Sato, Y. Sato, and K. Ikeuchi. Illumination distribution from brightness in shadows: Adaptive estimation of illumination distribution with unknown reflectance properties in shadow regions. In Proc. ICCV, pp 875--82, 1999.
....distribution and the object BRDF. One of the main practical contributions of this paper is a solution to this problem for curved surfaces, allowing us to estimate BRDFs under general unknown illumination, while also determining the lighting. The closest previous work is that of Sato et al. [30] who use shadows to estimate the illumination distribution and the surface reflectance properties. We extend this work by not requiring shadow information, and presenting improved methods for estimating the illumination. 5. Factorization Unknown Texture and BRDF: This corresponds to recovering ....
....BRDFs even under complex lighting. 6. 2 Inverse Lighting with Known BRDF Previous methods for estimating the lighting have been developed only for the special cases of mirror BRDFs (a gazing sphere) Lambertian BRDFs (Marschner and Greenberg [20] and when shadows are present (Sato et al. [30]) Previous methods [20, 30] have also required regularization using penalty terms with user specified weights, and have been limited by the computational complexity of their formulations to a coarse discretization of the sphere. We present two new algorithms for curved surfaces with general ....
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I. Sato, Y. Sato, and K. Ikeuchi. Illumination distribution from brightness in shadows: adaptive estimation of illumination distribution with unknown reflectance properties in shadow regions. In ICCV 99, pages 875 -- 882, 1999.
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I. Sato, Y. Sato, K. Ikeuchi, "Illumination distribution from brightness in shadows: adaptive estimation of illumintion distribution with unknown reflectance properties in shadow regions, " Proc. Intl. Conf. Computer Vision, pp.875-882, 1999.
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I. Sato and K. Ikeuchi, "Illumination distribution from brightness in shadows", ICCV (2), 875-882, 1999
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I. Sato and K. Ikeuchi, "Illumination distribution from brightness in shadows", ICCV (2), 875-882, 1999.
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I. Sato, Y. Sato and K. Ikeuchi: "Illumination Distribution from Brightness in Shadows: Adaptive Estimation of Illumination Distribution with Unknown Reflectance Properties in Shadow Regions," Proc. ICCV'99, pp. 875--882, 1999.
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I. Sato, Y. Sato, and K. Ikeuchi. Illumination distribution from brightness in shadows. In ICCV99, pages 875--883.
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I. Sato, Y. Sato, and K. Ikeuchi. Illumination distribution from brightness in shadows: Adaptive estimation of illumination distribution with unknown reflectance properties in shadow regions. In Proceedings of IEEE ICCV'99, volume 2, pages 875--883, 1999.
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I. Sato,Y. Sato, and K. Ikeuchi. Illumination distribution from brightness in shadows: adaptive estimation of illumination distribution with unknown reflectance properties in shadow regions. In ICCV 99, pages 875--882, 1999.
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I. Sato, Y. Sato, and K. Ikeuchi. Illumination distribution from brightness in shadows: Adaptive estimation of illumination distribution with unknown reflectance properties in shadow regions. In Proceedings of IEEE ICCV'99, volume 2, pages 875--883, 1999.
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Imari Sato, Yoichi Sato, and Katsushi Ikeuchi. Illumination distribution from brightness in shadows: Adaptive extimation of illumination distribution with unknown reflectance properties in shadow regions. In Proceedings of IEEE ICCC'99, pages 875--882, September 1999.
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Imari Sato, Yoichi Sato, and Katsushi Ikeuchi. Illumination distribution from brightness in shadows: Adaptive extimation of illumination distribution with unknown reAEectance properties in shadow regions. In Proceedings of IEEE ICCC'99, pages 875882, September 1999.
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I. Sato, Y. Sato, and K. Ikeuchi. Illumination distribution from brightness in shadows: Adaptive estimation of illumination distribution with unknown reflectance properties in shadow regions. In ICCV, pages 875--883, 1999.
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I. Sato, Y. Sato, and K. Ikeuchi, "Illumination distribution from brightness in shadows: adaptive estimation of illumination distribution with unknown reflectance properties in shadow regions," in Seventh IEEE International Conference on Computer Vision (IEEE Computer Society, Los Alamitos, Calif., 1999), pp. 875--882.
No context found.
I. Sato, Y. Sato, and K. Ikeuchi. Illumination distribution from brightness in shadows: adaptive estimation of illumination distribution with unknown reflectance properties in shadow regions. In ICCV 99, pages 875 -- 882, 1999.
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