3D Human Body Measurement by Multiple Range Images
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.
I will present system configuration, calibration, and experimental results.