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3D Human Body Measurement by Multiple Range Images
Description
A compact and high-speed 3D human body measurement system is proposed. Whole human body data which we can take from systems that have been developed with a few viewpoints is not successfully acquired due to occlusion. It is proposed a method that can obtain successful data by allocating multiple rangefinders correctly. Four compact rangefinders are installed in a pole. Those four pole units with 16 rangefinders are assigned around a human. Multiple viewpoint range images allow the 3D shape reconstruction for a human body. The measurement time is 2 seconds and the average error is found to be 1.88 mm. In this paper, system configuration, calibration and experimental results are described.
Journal
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- 18th International Conference on Pattern Recognition (ICPR'06)
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18th International Conference on Pattern Recognition (ICPR'06) 833-836, 2006-01-01
IEEE
