Y. Sato, K. Ikeuchi, "Temporal-color space analysis of reflection, " J. Opt. Soc. Am. A, 11(11), pp.2990-3002, 1994.  Home/Search   Document Details and Download   Summary   Related Articles   Check

.... the 3D shape of the replica surface with conventional Shape fromShading techniques[6, 7] For overcome those problem, we think that multiple images under different light source directions can provide sufficient information on the reflectance information, which is similar as previous researches[4, 5]. In those researches, parameters on reflectance property are tried to recover from multiple images. In such method, the problem of specularity can be 3 3 14 1 Hiyoshi Kouhoku ku, Yokohama 223 Japan ftyama, saito, ozawag ozawa.ics.keio.ac.jp solved, however, the inter reflection and ....

Y.Sato, K.Ikeuchi,: "Temporal-color space analysis of reflection ", Proc. IEEE Computer Vision and Pattern Recognition, pp.570-576 (1993)

....of an object could have additional limbs that correspond to highlights caused by interreflections between surfaces. Lee [21] suggested moving a sensor and applying spectral differencing to color histograms of consecutive images to identify specular points in the scene. Recently, Sato and Ikeuchi [18] used local color signatures generated by actively varying the illumination direction to separate reflection components. This work uses the dichromatic model and singular value decomposition to decompose the color signatures into diffuse and specular signatures. These signatures can then be used ....

....highlight. In addition, the ratio of the Fresnel coefficients [4] is also assumed to be constant over the highlight. Using these assumptions, an estimate for the constant diffuse term is computed. The above polarization based approach suffers from two problems. First, except 2 Sato and Ikeuchi [18] rely solely on local color measurements but require a large number of measurements obtained by varying illumination direction. for very smooth surfaces, highlights typically include a wide range of surface normals and the underlying diffuse component cannot be assumed constant. Furthermore, the ....

Y. Sato and K. Ikeuchi, "Temporal-Color Space Analysis of Reflection," Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 570-576, 1993.

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Y. Sato, K. Ikeuchi, "Temporal-color space analysis of reflection, " J. Opt. Soc. Am. A, 11(11), pp.2990-3002, 1994.

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Y. Sato and K. Ikeuchi, "Temporal-Color Space Analysis of Reflection," J. Optical Soc. Am. A,vol.1 1 no.1 1 pp. 2990-3002, Nov.1

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Y.Sato and K.Ikeuchi, "Temporal-color space analysis of reflection," Journal of Optical Society of AmericaA,vol.11, no.11,pp.2990-3002,November 1994.

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Y. Sato and K. Ikeuchi, "Temporal-Color Space Analysis of Reflection," J. Optics Society of Am. A., vol. 11, no. 11, pp. 2990-3002, 1994.

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Y. Sato and K. Ikeuchi. Temporal-color space analysis of reflection. Journal of Optics Society of America A., 11(11):2990--3002, 1994.

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Sato, Y. and Ikeuchi, K.: Temporal-color Space Analysis of Reflection, J. Optical Society of AmericaA, Vol. 11, No. 11, pp. 2990-3002 (1994).

....the basis function of lumigraphs, the volume model obtained from 2D images is not accurate enough to be used in mixed reality systems, i.e. for the purpose of making cast shadows under real illuminations corresponding to the real background image. Unlike image based methods, model based methods[10, 11] analyze the reflectance characteristics on the surface of the real object to render photorealistic virtual objects by assuming reflectance models. Since the reflectance parameters are obtained at every surface point of the object, integration of synthesized images with real background can be ....

Y. Sato and K. Ikeuchi. Temporal-color space analysis of reflection. Journal of the Optical Society of America, 11(11):2990--3002, 1994.

....of real objects. Thus, it is difficult to make cast shadows under real illuminations corresponding to the real background image. Unlike image based rendering, model based rendering assumes reflectance models of an object and determines reflectance parameters through detailed reflectance analysis[11, 12]. Later the method uses those reflectance parameters to generate virtual images by considering illumination conditions of the real scene. By using these reflectance parameters, integration of synthesized images with the real background can be accomplished quite realistically[9] However, ....

Y. Sato and K. Ikeuchi. Temporal-color space analysis of reflection. Journal of the Optical Society of America, 11(11):2990--3002, 1994.

....data, but only limited attention has been paid to the photometric information such as reflectance properties. On the other hand, techniques to obtain the geometric information and the photometric information only from intensity images have been developed by other researchers. Sato and Ikeuchi [18] introduced a method to analyze a sequence of color images taken under a moving light source. They successfully estimated parameters of a reflectance function as well as object shapes, by explicitly separate the diffuse and specular reflection components. Subsequently, the technique has been ....

....result, we can determine observed color changes through the image sequence for all triangular patches of the object surface. The observed color sequence is separated into the diffuse reflection component and the specular reflection component by the algorithm used originally by Sato and Ikeuchi in [18]. Subsequently, parameters of a reflection function used in our analysis are estimated reliably for the diffuse and specular reflection components. The reflection model used here is described as a linear combination of the Lambertian model and the Torrance Sparrow model The Torrance Sparrow model ....

[Article contains additional citation context not shown here]

Y. Sato and K. Ikeuchi, "Temporal-color space analysis of reflection," Journal of Optical Society of America A, Vol. 11, No. 11, pp. 2990-3002, November 1994.

....of observed colors of a surface point corresponding to the range image pixel is determined. The observed Instructions for Typesetting Camera Ready Manuscripts 3 color sequence is separated into the diffuse and specular reflection components by the algorithm used originally by Sato and Ikeuchi [9]. Subsequently, parameters of a reflection function used in our analysis are estimated reliably for the separated reflection components. The reflection model used here is a linear combination of the Lambertian model and a simplified Torrance Sparrow model [13] The estimated reflectance parameters ....

....reported that estimating all reflectance parameters at once tends to make computation unstable [4] Therefore, the separation algorithm is applied prior to reflectance parameter estimation. The separation algorithm was originally introduced for the case of a moving light source by Sato and Ikeuchi [9]. In this paper, a similar algorithm is applied for the case of a moving object. Using three color bands; red, green, and blue, the coefficients KD;m and K S;m , in Eq. 2) becomes two linearly independent vectors, KD and K S , unless the colors of the two reflection components are ....

Y. Sato and K. Ikeuchi, Temporal-color space analysis of reflection, Journal of Optical Society of America A, vol. 11, no. 11 (November 1994) pp. 2990-3002.

....data, but only limited attention has been paid to the photometric information such as reflectance properties. On the other hand, techniques to obtain the geometric information and the photometric information only from intensity images have been developed by other researchers. Sato and Ikeuchi [18] introduced a method to analyze a sequence of color images taken under a moving light source. They successfully estimated reflectance function parameters as well as object shape, by explicitly separating the diffuse and specular reflection components. Subsequently, the technique has been applied ....

....result, we can determine observed color changes through the image sequence for all triangular patches of the object surface. The observed color sequence is separated into the diffuse reflection component and the specular reflection component by the algorithm used originally by Sato and Ikeuchi in [18]. Subsequently, parameters of a reflection function used in our analysis are estimated reliably for the diffuse and specular reflection components. The reflection model used here is described as a linear combination of the Lambertian model and the Torrance Sparrow model. The Torrance Sparrow ....

[Article contains additional citation context not shown here]

Y. Sato and K. Ikeuchi, "Temporal-color space analysis of reflection," Journal of Optical Society of America A, Vol. 11, No. 11, pp. 2990-3002, 1994.

No context found.

Y. Sato and K. Ikeuchi, "Temporal-Color Space Analysis of Reflection," J. Optical Soc. Am. A,vol.1 1 no.1 1 pp. 2990-3002, Nov.1

No context found.

SATO,Y.,AND IKEUCHI, K. Temporal-color space analysis of reflection. JOSA-A 11, 11 (November 1994), 2990--3002.

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SATO,Y.,AND IKEUCHI, K. Temporal-color space analysis of reflection. JOSA-A 11, 11 (November 1994), 2990--3002.

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Y. Sato and K. Ikeuchi. Temporal-color space analysis of reflection. J. of the Opt. Soc. of America A, 11, 1994.

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Yoichi Sato and Katsushi Ikeuchi. Temporal-color space analysis of reflection. Journal of Optical Society of America, 11(11):2990--3002, November 1994.

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Y. Sato, K. Ikeuchi, "Temporal-color space analysis of reflection", J. Opt. Soc. Am A, vol.11, no.11, pp.2990-3002, 1994.

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