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面部识别技术:整形外科医生入门指南。

Facial Recognition Technology: A Primer for Plastic Surgeons.

机构信息

From the Division of Plastic and Reconstructive Surgery, Department of Surgery, and the Institute of Biomaterials and Biomedical Engineering, Faculty of Applied Science and Engineering, University of Toronto; and the Division of Plastic and Reconstructive Surgery, The Hospital for Sick Children.

出版信息

Plast Reconstr Surg. 2019 Jun;143(6):1298e-1306e. doi: 10.1097/PRS.0000000000005673.


DOI:10.1097/PRS.0000000000005673
PMID:31136498
Abstract

The face is arguably the most unique and defining feature of the human body. From birth, humans are conditioned to perceive, interpret, and react to information conveyed by faces both familiar and unfamiliar. Although face recognition is routine for humans, only recently has it become possible for a computer to accurately recognize a human face in an image or video. With advances in artificial intelligence, image capture technology, and Internet connectivity, facial recognition technology has entered the forefront of personal and commercial technology. Plastic surgeons should be prepared to answer questions from patients about the fundamentals of facial recognition technology, and the potential effects of plastic surgery on facial recognition technology performance. This article provides an overview of facial recognition technology, describes its present applications, discusses its relevance within the field of plastic surgery, and provides recommendations for plastic surgeons to consider during preoperative discussions with patients.

摘要

脸可以说是人体最独特和最具决定性的特征。从出生起,人类就被训练去感知、解释和对熟悉和不熟悉的面孔所传达的信息做出反应。虽然人脸识别对人类来说是常规操作,但直到最近,计算机才有可能准确识别图像或视频中的人脸。随着人工智能、图像采集技术和互联网连接性的进步,人脸识别技术已经成为个人和商业技术的前沿领域。整形外科医生应该准备好回答患者关于人脸识别技术基础以及整形手术对面部识别技术性能的潜在影响的问题。本文概述了人脸识别技术,描述了其目前的应用,讨论了它在整形外科学领域的相关性,并为整形外科医生在与患者进行术前讨论时提供了一些建议。

相似文献

[1]
Facial Recognition Technology: A Primer for Plastic Surgeons.

Plast Reconstr Surg. 2019-6

[2]
Facial plastic surgery and face recognition algorithms: Interaction and challenges. A scoping review and future directions.

J Stomatol Oral Maxillofac Surg. 2020-6-20

[3]
Applications of artificial intelligence in facial plastic and reconstructive surgery: a systematic review.

Curr Opin Otolaryngol Head Neck Surg. 2024-8-1

[4]
Objective facial photograph analysis using imaging software.

Facial Plast Surg Clin North Am. 2010-5

[5]
Evolution of 3D surface imaging systems in facial plastic surgery.

Facial Plast Surg Clin North Am. 2011-11

[6]
Recognition of familiar people with a mobile cloud architecture for Alzheimer patients.

Disabil Rehabil. 2017-2

[7]
Quantitative anatomical analysis of facial expression using a 3D motion capture system: Application to cosmetic surgery and facial recognition technology.

Clin Anat. 2015-9

[8]
The Use of Emotional Artificial Intelligence in Plastic Surgery.

Plast Reconstr Surg. 2019-8

[9]
Facial Recognition Software Use on Surgically Altered Faces: A Systematic Review.

J Craniofac Surg.

[10]
Using Facial Recognition Tools for Health Assessment.

Plast Surg Nurs.

引用本文的文献

[1]
Artificial Intelligence and Postoperative Monitoring in Plastic Surgery.

Plast Surg (Oakv). 2025-5

[2]
Quality and Reliability of 2D and 3D Clinical Photographs in Plastic Surgery: A Scoping Review.

Aesthetic Plast Surg. 2025-2-27

[3]
A Bibliometric Review of Software Tools in Plastic Surgery: How They Benefit Surgeons and Improve Practice from 2004 to 2024.

Aesthetic Plast Surg. 2025-3

[4]
Facial artificial intelligence in ophthalmology and medicine: fundamental and transformative applications.

Ther Adv Ophthalmol. 2024-12-4

[5]
"Facekit"-Toward an Automated Facial Analysis App Using a Machine Learning-Derived Facial Recognition Algorithm.

Plast Surg (Oakv). 2023-11

[6]
A Narrative Review of Artificial Intelligence (AI) for Objective Assessment of Aesthetic Endpoints in Plastic Surgery.

Aesthetic Plast Surg. 2023-12

[7]
The Impact of Artificial Intelligence on Waiting Time for Medical Care in an Urgent Care Service for COVID-19: Single-Center Prospective Study.

JMIR Form Res. 2022-2-1

[8]
Artificial Intelligence in Plastic Surgery: Current Applications, Future Directions, and Ethical Implications.

Plast Reconstr Surg Glob Open. 2020-10-29

[9]
Recognizing Emotional Expression as an Outcome Measure After Face Transplant.

JAMA Netw Open. 2020-1-3

[10]
The Accuracy of Digital Face Scans Obtained from 3D Scanners: An In Vitro Study.

Int J Environ Res Public Health. 2019-12-12

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