Classification of Students’ Body Shape Based on Deep Neural Network-Reference-Cited by-同舟云学术

Classification of Students’ Body Shape Based on Deep Neural Network

Published:2020 Issue: Volume: Page:549-557
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Li Fang

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5959-4_66

Reference16 articles.

1. Wang, H., J. Zhou, T. Zhao, et al. 2016. Springback compensation of automotive panel based on three-dimensional scanning and reverse engineering. The International Journal of Advanced Manufacturing Technology 85 (5–8): 1187–1193.

2. Li, Z., M. Schaefer, A. Strahler, et al. 2018. On the utilization of novel spectral laser scanning for three-dimensional classification of vegetation elements. Interface Focus: A Theme Supplement of Journal of the Royal Society Interface 8 (2): 20170039.

3. Pan, S., S. Zhong, Q. Lirong, et al. 2017. Highly stable three-dimensional scanning technology and system in differential confocal microscopy imaging. Optical Technique 43 (3): 212–216, 221.

4. Xianfeng, Z., H. He, H. Yuchuan, et al. 2017. Phase retrieval of structured light on three-dimensional body scanning. Nanotechnology & Precision Engineering 15 (3): 187–192.

5. Shaowen, C., S. Chochiang, and H. Chihchung. 2017. Freehand three-dimensional ultrasound imaging of carotid artery using motion tracking technology. Ultrasonics 74: 11–20.

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