Abstract
One robust method to reconstruct shape is photometric stereo (PMS), which reconstructs surface orientation using the Lambertian reflection properties of the surface material. To increase the applicability to non-Lambertian surfaces, we extend this method using a two-stage process without introducing additional light sources or assuming a known micro facet distribution. In the first step, the glossy reflection is discarded, taking the dichromatic reflection model as a basis. We compare a known, complex technique for separating highlights and a new direct approach specialized for the photometric stereo method. The introduced spherical chromaticity space has been found as a good tool for deriving the matte vector. An extention to images of multi colored objects is mentioned. In the second step, we apply a conventional PMS to the derived matte images.
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© 1993 Springer-Verlag Berlin Heidelberg
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Schlüns, K. (1993). Photometric stereo for non-lambertian surfaces using color information. In: Chetverikov, D., Kropatsch, W.G. (eds) Computer Analysis of Images and Patterns. CAIP 1993. Lecture Notes in Computer Science, vol 719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57233-3_58
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DOI: https://doi.org/10.1007/3-540-57233-3_58
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