Abstract
A human body measurement system using multiple view-points is proposed. Whole human body data taken from systems, which have been developed with a few viewpoints, have not been successful at acquiring due to occlusion. It is proposed that data can be successfully obtained by a method using multiple rangefinders correctly. Four compact rangefinders are installed in a pole. Those three pole units, with 12 rangefinders, are assigned around a person. Multiple viewpoint range images allow the 3D shape reconstruction of a human body. Then a morphable model is adapted to whole human body data. The measurement time is 2 seconds and the average error is found to be 1.88 mm. In this paper, the system configuration, calibration, morphable model and experimental results are described. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Yamauchi, K., Kameshima, H., Saito, H., & Sato, Y. (2007). 3D reconstruction of a human body from multiple viewpoints. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4872 LNCS, pp. 439–448). Springer Verlag. https://doi.org/10.1007/978-3-540-77129-6_39
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