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Surface Normal Deconvolution: Photometric Stereo for Optically Thick Translucent ObjectsChika Inoshita1, Yasuhiro Mukaigawa2, Yasuyuki Matsushita3, and Yasushi Yagi1 1Osaka University, Japan 2Nara Institute of Science and Technology, Japan 3Microsoft Research Asia, China Abstract. This paper presents a photometric stereo method that works for optically thick translucent objects exhibiting subsurface scattering. Our method is built upon the previous studies showing that subsurface scattering is approximated as convolution with a blurring kernel. We extend this observation and show that the original surface normal convolved with the scattering kernel corresponds to the blurred surface normal that can be obtained by a conventional photometric stereo technique. Based on this observation, we cast the photometric stereo problem for optically thick translucent objects as a deconvolution problem, and develop a method to recover accurate surface normals. Experimental results of both synthetic and real-world scenes show the effectiveness of the proposed method. LNCS 8690, p. 346 ff. lncs@springer.com
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