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Portrait Vision Fusion for Augmented Reality
a School of Electrical Engineering and Automation, Xiamen University of Technology, No.600, Ligong Road, Jimei, Xiamen, 360124, p.R.China;
b Department of Information management, national taichung university of technology, taichung, taiwan
* Corresponding Author: Li-Hong Juang,
Intelligent Automation & Soft Computing 2018, 24(4), 739-745. https://doi.org/10.1080/10798587.2017.1327549
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Kinect(+openCV); Dynamic portrait segmentation; Skeletal tracking; Edge transparent processing; Video interactiveKeywords
Kinect(+openCV); Dynamic portrait segmentation; Skeletal tracking; Edge transparent processing; Video interactive
Cite This Article
APA Style
Juang, L., Wu, M., Tsou, F. (2018). Portrait vision fusion for augmented reality. Intelligent Automation & Soft Computing, 24(4), 739-745. https://doi.org/10.1080/10798587.2017.1327549
Vancouver Style
Juang L, Wu M, Tsou F. Portrait vision fusion for augmented reality. Intell Automat Soft Comput . 2018;24(4):739-745 https://doi.org/10.1080/10798587.2017.1327549
IEEE Style
L. Juang, M. Wu, and F. Tsou, “Portrait Vision Fusion for Augmented Reality,” Intell. Automat. Soft Comput. , vol. 24, no. 4, pp. 739-745, 2018. https://doi.org/10.1080/10798587.2017.1327549
Copyright © 2018 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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