Review: Facial Anthropometric, Landmark Extraction, and Nasal Reconstruction Technology
Facial anthropometrics are measurements of human faces and are important figures that are used in many different fields, such as cosmetic surgery, protective gear design, reconstruction, etc. Therefore, the first procedure is to extract facial landmarks, then measurements are carried out by professi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/19/9548 |
| _version_ | 1797480830086414336 |
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| author | Nguyen Hoang Vu Nguyen Minh Trieu Ho Nguyen Anh Tuan Tran Dang Khoa Nguyen Truong Thinh |
| author_facet | Nguyen Hoang Vu Nguyen Minh Trieu Ho Nguyen Anh Tuan Tran Dang Khoa Nguyen Truong Thinh |
| author_sort | Nguyen Hoang Vu |
| collection | DOAJ |
| description | Facial anthropometrics are measurements of human faces and are important figures that are used in many different fields, such as cosmetic surgery, protective gear design, reconstruction, etc. Therefore, the first procedure is to extract facial landmarks, then measurements are carried out by professional devices or based on experience. The aim of this review is to provide an update and review of 3D facial measurements, facial landmarks, and nasal reconstruction literature. The novel methods to detect facial landmarks including non-deep and deep learning are also introduced in this paper. Moreover, the nose is the most attractive part of the face, so nasal reconstruction or rhinoplasty is a matter of concern, and this is a significant challenge. The documents on the use of 3D printing technology as an aid in clinical diagnosis and during rhinoplasty surgery are also surveyed. Although scientific technology development with many algorithms for facial landmarks extraction have been proposed, their application in the medical field is still scarce. Connectivity between studies in different fields is a major challenge today; it opens up opportunities for the development of technology in healthcare. This review consists of the recent literature on 3D measurements, identification of landmarks, particularly in the medical field, and finally, nasal reconstruction technology. It is a helpful reference for researchers in these fields. |
| first_indexed | 2024-03-09T22:05:48Z |
| format | Article |
| id | doaj.art-9f8ca7466c36424682473becf5514117 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T22:05:48Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-9f8ca7466c36424682473becf55141172023-11-23T19:41:29ZengMDPI AGApplied Sciences2076-34172022-09-011219954810.3390/app12199548Review: Facial Anthropometric, Landmark Extraction, and Nasal Reconstruction TechnologyNguyen Hoang Vu0Nguyen Minh Trieu1Ho Nguyen Anh Tuan2Tran Dang Khoa3Nguyen Truong Thinh4Human Anatomy Department, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City 700000, VietnamDepartment of Mechatronics, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City 700000, VietnamHuman Anatomy Department, Pham Ngoc Thach University of Medicine, Ho Chi Minh City 700000, VietnamHuman Anatomy Department, Pham Ngoc Thach University of Medicine, Ho Chi Minh City 700000, VietnamDepartment of Mechatronics, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City 700000, VietnamFacial anthropometrics are measurements of human faces and are important figures that are used in many different fields, such as cosmetic surgery, protective gear design, reconstruction, etc. Therefore, the first procedure is to extract facial landmarks, then measurements are carried out by professional devices or based on experience. The aim of this review is to provide an update and review of 3D facial measurements, facial landmarks, and nasal reconstruction literature. The novel methods to detect facial landmarks including non-deep and deep learning are also introduced in this paper. Moreover, the nose is the most attractive part of the face, so nasal reconstruction or rhinoplasty is a matter of concern, and this is a significant challenge. The documents on the use of 3D printing technology as an aid in clinical diagnosis and during rhinoplasty surgery are also surveyed. Although scientific technology development with many algorithms for facial landmarks extraction have been proposed, their application in the medical field is still scarce. Connectivity between studies in different fields is a major challenge today; it opens up opportunities for the development of technology in healthcare. This review consists of the recent literature on 3D measurements, identification of landmarks, particularly in the medical field, and finally, nasal reconstruction technology. It is a helpful reference for researchers in these fields.https://www.mdpi.com/2076-3417/12/19/9548facial anthropometriclandmark extractionnasal reconstruction technology |
| spellingShingle | Nguyen Hoang Vu Nguyen Minh Trieu Ho Nguyen Anh Tuan Tran Dang Khoa Nguyen Truong Thinh Review: Facial Anthropometric, Landmark Extraction, and Nasal Reconstruction Technology Applied Sciences facial anthropometric landmark extraction nasal reconstruction technology |
| title | Review: Facial Anthropometric, Landmark Extraction, and Nasal Reconstruction Technology |
| title_full | Review: Facial Anthropometric, Landmark Extraction, and Nasal Reconstruction Technology |
| title_fullStr | Review: Facial Anthropometric, Landmark Extraction, and Nasal Reconstruction Technology |
| title_full_unstemmed | Review: Facial Anthropometric, Landmark Extraction, and Nasal Reconstruction Technology |
| title_short | Review: Facial Anthropometric, Landmark Extraction, and Nasal Reconstruction Technology |
| title_sort | review facial anthropometric landmark extraction and nasal reconstruction technology |
| topic | facial anthropometric landmark extraction nasal reconstruction technology |
| url | https://www.mdpi.com/2076-3417/12/19/9548 |
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