- Journal Home
- Volume 18 - 2025
- Volume 17 - 2024
- Volume 16 - 2023
- Volume 15 - 2022
- Volume 14 - 2021
- Volume 13 - 2020
- Volume 12 - 2019
- Volume 11 - 2018
- Volume 10 - 2017
- Volume 9 - 2016
- Volume 8 - 2015
- Volume 7 - 2014
- Volume 6 - 2013
- Volume 5 - 2012
- Volume 4 - 2011
- Volume 3 - 2010
- Volume 2 - 2009
- Volume 1 - 2008
Journal of Fiber Bioengineering & Informatics, 10 (2017), pp. 131-139.
Published online: 2017-10
Cited by
- BibTex
- RIS
- TXT
Elliptic Fourier Analysis (EFA) is an important tool in shape reconstruction. To get the best female subject fitting result, we took the following processes. Firstly, three kinds of sampling methods were taken, including curvature sampling, random sampling and equally spaced sampling. According to our experiment result, equally spaced had the best performance. Secondly, eclectic sampling density was decided by the mean distance and conference. Finally, the number of harmonics used by EFA was decided by the experimental error requirement. The experimental results indicate that the EFA was an powerful and efficient approach in chest shape fitting.
Elliptic Fourier Analysis (EFA) is an important tool in shape reconstruction. To get the best female subject fitting result, we took the following processes. Firstly, three kinds of sampling methods were taken, including curvature sampling, random sampling and equally spaced sampling. According to our experiment result, equally spaced had the best performance. Secondly, eclectic sampling density was decided by the mean distance and conference. Finally, the number of harmonics used by EFA was decided by the experimental error requirement. The experimental results indicate that the EFA was an powerful and efficient approach in chest shape fitting.