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Date Published:
11/09/2021
Abstract Views: 189
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Views PDF: 197
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Các bài báo
How to Cite
Nguyen Anh Tuan, H. ., Dang Dieu, P. ., Dao Xuan Hai, N. ., Truong Thinh, N. ., & Gia Vinh, L. . (2021). ANTHROPOMETRIC IDENTIFICATION SYSTEM USING CONVOLUTION NEURAL NETWORK BASED ON REGION PROPOSAL NETWORK. Vietnam Medical Journal, 506(1-2). https://doi.org/10.51298/vmj.v506i1-2.989
ANTHROPOMETRIC IDENTIFICATION SYSTEM USING CONVOLUTION NEURAL NETWORK BASED ON REGION PROPOSAL NETWORK
Main Article Content
Abstract
The operating of the anthropometric identification supported byConvolution Neural Network system is to locate precious anthropology spots and certaindistances between each feature area on a person's face. Identifies the anthropometricpoints from 2D captured pictures by 3 perspective views promised an implementation between medical diagnostics to solve the problem of data retrieval time and efficiency compared to other manual measures.
Article Details
Keywords
Anthropometric, human face, identification system
References
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2. A. Albrizio, “Biometry and anthropometry: from Galton to constitutional medicine,” Journal of Anthropological Sciences, vol. 85, pp. 101-123, 2007.
3. T. Cuff, “Biometric method, past, present, and future,” in Historical Anthropometrics, J. O. Irwin, Ed., pp. 363-375, Ashgate, Aldershot, UK, 1998.
4. Kolar J C, Salter E M. Springfield, IL: CC Thomas; 1997. Craniofacial anthropometry: Practical measurement of the head and face for clinical, surgical, and research use.
2. A. Albrizio, “Biometry and anthropometry: from Galton to constitutional medicine,” Journal of Anthropological Sciences, vol. 85, pp. 101-123, 2007.
3. T. Cuff, “Biometric method, past, present, and future,” in Historical Anthropometrics, J. O. Irwin, Ed., pp. 363-375, Ashgate, Aldershot, UK, 1998.
4. Kolar J C, Salter E M. Springfield, IL: CC Thomas; 1997. Craniofacial anthropometry: Practical measurement of the head and face for clinical, surgical, and research use.