In the paper a camera-mirror based 3D measurement
system is introduced aimed for reconstruction of human body
parts. During the measurement the patient cannot maintain static
state even for a short period which may negatively affect the
accuracy of the reconstruction. Nevertheless by such applications
the duration of measurement plays significant role, as well. In
order to handle these issues synchronized camera group has been
used together with two mirrors to capture the targeted object with
a single shot entirely. As the results reflect the proposed
approach might be suitable for many application where targets
being in small motion must be measured at once.
Takeshi Hashimoto : Dept. of Electrical and Electronics Engineering, Shizuoka University
5-1, 3-chome Johoku, Naka-ku, Hamamatsu, 432-8561, Japan
Takayuki Suzuki : Brother Industries, LTD. Japan
András Rövid : John von Neumann Faculty of Informatics, Óbuda University
Bécsi út 96/B, 1034 Budapest, Hungary
Mirror
Camera
Measurement
Human Body
Single-shot
In this paper a camera and mirror based measurement
framework has been proposed for human body
reconstruction. Since the cameras are synchronized the
targeted surface should not be static which stands for the
primary feature of this system. In addition, the mirrors
(two planar mirrors in our case) together with the camera
group ensure the acquisition of the entire target. The
measured points are represented by markers attached to the
targeted surface. Although their density is not high, it
might be sufficient for many applications such as
production of leg sleeves for example. On the other hand
the density of reconstructed points can be increased by
template matching effectively, thus widening the
application possibilities.
[1] K. Yamauchi, Y. Sato, "3D Human Body Measurement
by Multiple Range Images," 18th International
Conference on Pattern Recognition, vol. 4, pp. 833-836,
2006.
[2] P. Treleaven, J. Wells, "3D Body Scanning and
Healthcare Applications", Computer, vol. 40, no. 7, pp.
28-34, July 2007.
[3] S. Yan Cui, Schuon, D. Chan, S. Thrun, C. Theobalt,
”3D Shape Scanning with a Time-of-Flight Camera,”
2010 IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), pp. 1173-1180, 13-18 June 2010.
[4] N. Karpinsky, S. Zhang, ”High-Resolution, Real-Time
3D Imaging with Fringe Analysis,” Journal of Real-
Time Image Processing, Springer-Verlag, Vol. 7, Issue
1, pp. 55-66, 2010.
[5] E. Lilienblum, B. Michaelis, ”Optical 3D Surface
Reconstruction by a Multi-Period Phase Shift Method,
Journal of Computers, Vol. 2, No. 2, pp. 73-83, 2007.
[6] M. A. Muquit, T. Shibahara, T. Aoki, ”A High-
Accuracy Passive 3D Measurement System Using
Phase-Based Image Matching,” IEICE Transactions,
Vol. E89, No. 3, pp. 686–697, 2006.
[7] Hong-quan Xie; Hai-hu Jia, "The Development of 3D
Laser Scanning Technique and Its Application in Land
Reclamation," 2nd International Symposium on
Information Engineering and Electronic Commerce
(IEEC), pp.1-4, 23-25 July 2010.
[8] Z. Zhang, “A flexible new technique for camera
calibration”, IEEE Transactions on Pattern Analysis and
Machine Intelligence, 22(11):1330–1334, 2000.
[9] T. Hashimoto, T. Suzuki, H. Aoshima, A. Rövid,
”Multi-Camera-based High Precision Measurement
Approach for Surface Acquisition,” Acta Polytechnica
Hungarica, Vol. 10, No. 8, pp. 139-152, 2013.
[10] T. Hashimoto, S. Takayanagi, A. Rövid,
”Correspondence Matching for Stereo Vision Based
Outdoor Measurement,” International Symposium on
Flexible Automation, Awaji-Island, Hyogo, Japan, 14 -
16 July, 2014, pp. 1-3.
