Abstract
In this paper, we propose a new method for estimating jointly light sources and reflectance properties of an object seen through images. A classification process firstly identifies regions of the object having the same appearance. An identification method is then applied for jointly (i) deciding what light sources are actually significant and (ii) estimating diffuse and specular coeffcients for the surface.
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© 2006 Springer
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Mercier, B., Meneveaux, D. (2006). JOINT ESTIMATION OF MULTIPLE LIGHT SOURCES AND REFLECTANCE FROM IMAGES. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_11
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DOI: https://doi.org/10.1007/1-4020-4179-9_11
Publisher Name: Springer, Dordrecht
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