Abstract
Image-based capture of material appearance has been extensively studied, but the quality of the results and generality of the applied methods leave a lot of room for improvement. Most existing methods rely on parametric models of reflectance and require complex hardware systems or accurate geometric models that are not always available or practical. Rather than independently estimating reflectance properties for each surface point, it is common to express the reflectance as a combination of base materials inherent to each particular object or scene.
We propose a method for efficient and automatic extraction of base materials in a photometric stereo system. After jointly estimating per-pixel reflectances and refined surface normals using these materials, we can render photo-realistic images of complex objects under novel lighting conditions in real time.
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Weyrich, T., Lawrence, J., Lensch, H., Rusinkiewicz, S., Zickler, T.: Principles of Appearance Acquisition and Representation. Foundations and Trends in Computer Graphics and Vision 4(2), 75–191 (2007)
Woodham, R.J.: A Photometric Method for Determining Surface Orientation from Multiple Images. Optical Engineering 19(1), 139–144 (1980)
Chandraker, M., Agarwal, S., Kriegman, D.: ShadowCuts: Photometric Stereo with Shadows. In: CVPR, pp. 1–8 (2007)
Verbiest, F., Van Gool, L.: Photometric stereo with coherent outlier handling and confidence estimation. In: CVPR, pp. 1–8 (2008)
Hertzmann, A., Seitz, S.M.: Example-based photometric stereo: shape reconstruction with general, varying BRDFs. PAMI 27(8), 1254–1264 (2005)
Goldman, D.B., Curless, B., Hertzmann, A., Seitz, S.M.: Shape and Spatially-Varying BRDFs from Photometric Stereo. PAMI 32(6), 1060–1071 (2010)
Rusinkiewicz, S.: A new change of variables for efficient BRDF representation. In: Rendering Techniques, pp. 11–22 (1998)
Romeiro, F., Vasilyev, Y., Zickler, T.: Passive Reflectometry. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part IV. LNCS, vol. 5305, pp. 859–872. Springer, Heidelberg (2008)
Romeiro, F., Zickler, T.: Blind Reflectometry. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 45–58. Springer, Heidelberg (2010)
Weinmann, M., Schwartz, C.: A multi-camera, multi-projector super-resolution framework for structured light. In: 3DIMPVT, pp. 397–404 (2011)
Lensch, H.P.A., Goesele, M., Kautz, J., Heidrich, W., Seidel, H.-P.: Image-based reconstruction of spatially varying materials. In: Eurographics Workshop on Rendering Techniques, pp. 103–114 (2001)
Haber, T., Fuchs, C., Bekaer, P., Seidel, H., Goesele, M., Lensch, H.: Relighting objects from image collections. In: CVPR, pp. 627–634 (2009)
Alldrin, N., Zickler, T.: Photometric stereo with non-parametric and spatially-varying reflectance. In: CVPR (2008)
Ren, P., Wang, J., Snyder, J., Tong, X., Guo, B.: Pocket reflectometry. ACM Transactions on Graphics 30(4), 45:1–45:10 (2011)
Wang, O., Gunawardane, P., Scher, S., Davis, J.: Material classification using BRDF slices. In: CVPR, pp. 2805–2811 (2009)
Chung, H.: Efficient photometric stereo on glossy surfaces with wide specular lobes. In: CVPR (2008)
Gautron, P., Krivanek, J., Pattanaik, S.: A novel hemispherical basis for accurate and efficient rendering. In: Eurographics Symposium on Rendering (2004)
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Tingdahl, D., Godau, C., Van Gool, L. (2012). Base Materials for Photometric Stereo. In: Fusiello, A., Murino, V., Cucchiara, R. (eds) Computer Vision – ECCV 2012. Workshops and Demonstrations. ECCV 2012. Lecture Notes in Computer Science, vol 7584. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33868-7_35
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DOI: https://doi.org/10.1007/978-3-642-33868-7_35
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