Face recognition and plastic surgery: social, ethical and engineering challenges
04 Jan 2010-pp 70-75
TL;DR: The effect of plastic surgery on face recognition algorithms and various social, ethical and engineering challenges associated with it are commented on.
Abstract: Face recognition systems has engrossed much attention and has been applied in various domains, primarily for surveillance, security, access control and law enforcement. In recent years much advancement have been made in face recognition techniques to cater to the challenges such as pose, expression, illumination, aging and disguise. However, due to advances in technology, there are new emerging challenges for which the performance of face recognition systems degrades and plastic/cosmetic surgery is one of them. In this paper we comment on the effect of plastic surgery on face recognition algorithms and various social, ethical and engineering challenges associated with it.
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TL;DR: Preparation of dummy face database of 110 subjects and comparison of some texture based, feature based and holistic face recognition algorithms on that dummy facedatabase and critical analysis of these types of algorithms on dummy face website.
Abstract: In the age of rising crime face recognition is enormously important in the contexts of computer vision, psychology, surveillance, fraud detection, pattern recognition, neural network, content based video processing, etc. Face is a non intrusive strong biometrics for identification and hence criminals always try to hide their facial organs by different artificial means such as plastic surgery, disguise and dummy. The availability of a comprehensive face database is crucial to test the performance of these face recognition algorithms. However, while existing publicly-available face databases contain face images with a wide variety of poses, illumination, gestures and face occlusions but there is no dummy face database is available in public domain. The contributions of this research paper are: i) Preparation of dummy face database of 110 subjects ii) Comparison of some texture based, feature based and holistic face recognition algorithms on that dummy face database, iii) Critical analysis of these types of algorithms on dummy face database.
25 citations
01 Aug 2018
TL;DR: Invariant Scattering transform based feature extraction is presented to compute translation invariant representation at local and global levels that is stable against plastic surgery variations that is over 97% at rank-10 on the IIITD plastic surgery face database.
Abstract: The use of face as a biometric feature has been widely accepted and used in security and surveillance systems. Recent studies have made significant advancements to address various challenges in face recognition such as illumination, age, pose and disguise. Another important covariate is recognizing faces with pre-and-post facial plastic surgery. Facial plastic surgeries alter the geometry and texture of facial regions, the extent of which is dependent on both the number, and the type of surgeries performed. The increasing reach of plastic surgery and its expanding user base present an indispensable challenge that must be dealt with while devising robust face recognition systems. In this paper, we present Invariant Scattering transform based feature extraction to compute translation invariant representation at local and global levels that is stable against plastic surgery variations. The identification accuracy achieved by the proposed algorithm is over 97% at rank-10 on the IIITD plastic surgery face database.
5 citations
Cites background from "Face recognition and plastic surger..."
...[12] analyzed the effects of plastic surgery on face recognition algorithms and showed that surgical alterations affect the Fig....
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TL;DR: Challenges and differences in applying automatic face analysis in indoor and outdoor spaces, as well as issues that arise from privacy protection concerns and public's social acceptability of this new technology are discussed.
Abstract: In the future world of ubiquitous computing, various computing devices will be thoroughly and invisibly embedded into different environments of our daily living. These smart machines will not only actively perceive and respond to human presence and behaviour, but also support friendly intelligent interaction with a user – interaction that resembles mechanisms of human–human communication. This vision of the future and the fact that the face is one of the most important means of human natural communication have motivated the idea of exploiting automatic face analysis in the settings of ubiquitous interaction. In this paper, we review several emerging application areas of automatic face analysis in different interactive spaces, including urban environments. We discuss challenges and differences in applying automatic face analysis in indoor and outdoor spaces, as well as issues that arise from privacy protection concerns and public's social acceptability of this new technology.
3 citations
Cites background from "Face recognition and plastic surger..."
...This has sparked a major debate about ethical aspects of automatic face analysis in public places, governmental police powers and citizen privacy (Crowley, Coutaz, and Bérard 2000; Pentland 2000b; Bhatt et al. 2010; Tistarelli and Grosso 2010; Woo 2010)....
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...Facial appearance is a unique and permanent biometric identifier, which is generally understood to be a semiprivate form of personal information (Bhatt et al. 2010)....
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...This has sparked a major debate about ethical aspects of automatic face analysis in public places, governmental police powers and citizen privacy (Crowley, Coutaz, and Bérard 2000; Pentland 2000b; Bhatt et al. 2010; Tistarelli and Grosso 2010; Woo 2010)....
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References
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20 Jun 2009
TL;DR: The experimental results indicate that existing face recognition algorithms perform poorly when matching pre and post surgery face images and suggest that it is imperative for future face recognition systems to be able to address this important issue.
Abstract: Variations in pose, expression, illumination, aging and disguise are considered as major challenges in face recognition and several techniques have been proposed to address these challenges. Plastic surgery, on the other hand, is considered as an arduous research issue; however, it has not yet been studied either theoretically or experimentally. This paper focuses on analyzing the effect of plastic surgery in face recognition algorithms. The preliminary study provides an experimental and analytical comparison of face recognition algorithms on a plastic surgery database of 506 individuals. The experimental results indicate that existing face recognition algorithms perform poorly when matching pre and post surgery face images. The results also suggest that it is imperative for future face recognition systems to be able to address this important issue and hence there is a need for more research in this important area.
57 citations