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While geometry reconstruction has been extensively studied, several shortcomings still exist. First, traditional geometry reconstruction methods such as geometric or photometric stereo only recover either surface depth or normals. Second, such methods require calibration. Third, such methods cannot recover accurate geometry in the presence of interreflections. In order to address these problems in a single system, we propose an approach to reconstruct geometry from light transport data.doi:10.1109/icip.2013.6738527 dblp:conf/icip/HuaNL13 fatcat:r3ins2gduja7npdlx72za7m55u