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17Bibliography[ACPR10] D. Adjeroh, D. Cao, M. Piccirilli, and A. Ross. Predictability and correlation inhuman metrology. In Proceedings of the WIFS, 2010.[ACT11] European project actibio, 2011.[ALMV04] H. Ailisto, M. Lindholm, S.-M. Mäkelä, and E. Vildjiounaite. Unobtrusive useridentification with light biometrics. In Proceedings of NordiCHI, 2004.[CAJ03] L. Coventry, A. De Angeli, and G. Johnson. Usability and biometric verification atthe atm interface. In Proceedings of ACM CHI, 2003.[CG05] L. F. Cranor and S. Garfinkel. Security and usability. O’Reilly Media, Inc., 2005.[CJMR09] L. Coventry, G. Johnson, T. McEwan, and C. Riley. Biometrics in practice: Whatdoes hci have to say? In Proceedings of INTERACT, pages 920–921, 2009.[CO11] N. Chhaya and T. Oates. Integrating soft biometrics to extract text descriptors fromtriage images in mass disaster situations. In Proceedings of HST, 2011.[DFBS09] S. Denman, C. Fookes, A. Bialkowski, and S. Sridharan. Soft-biometrics: Unconstrainedauthentication in a surveillance environment. In Proceedings of DICTA,pages 196–203, 2009.[FDL + 10] C. Fookes, S. Denman, R. Lakemond, D. Ryan, S. Sridharan, and M. Piccardi. Semisupervisedintelligend surveillance system for secure environments. In Proceedingsof IEEE ISIE, 2010.[Fer11] NIST database FERET, 2011.[JBAB00] X. Jiang, M. Binkert, B. Achermann, and H. Bunke. Towards detection of glasses infacial images. Pattern Analysis and Applications, 3:9–18, 2000.[JDN04a] A.K. Jain, S. C. Dass, and K. Nandakumar. Can soft biometric traits assist userrecognition? In Proceedings of SPIE, volume 5404, pages 561–572, 2004.[JDN04b] A.K. Jain, S.C. Dass, and K. Nandakumar. Soft biometric traits for personal recognitionsystems. In Proceedings of ICBA, 2004.[JKP11] A. K. Jain, B. Klare, and U. Park. Face recognition: Some challenges in forensics.In Proceedings of IEEE FG, pages 726–733, 2011.[JP09] A. K. Jain and U. Park. Facial marks: Soft biometric for face recognition. In Proceedingsof ICIP, volume 1, pages 37–40, 2009.
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FACIAL SOFT BIOMETRICSMETHODS, APPL
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AcknowledgementsThis thesis would n
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6hair, skin and clothes. The propos
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97 Practical implementation of soft
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11Notations used in this workE : st
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13Chapter 1IntroductionTraditional
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15event of collision, which is of s
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17ric. In Section 6.6 we employ the
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19Chapter 2Soft biometrics: charact
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21is the fusion of soft biometrics
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23plied on low resolution grey scal
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25Chapter 3Bag of facial soft biome
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27In this setting we clearly assign
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29Table 3.1: SBSs with symmetric tr
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31corresponding to p(n,ρ). Towards
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the same category (all subjects in
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3.5.2 Analysis of interference patt
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an SBS by increasing ρ, then what
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39Table 3.4: Example for a heuristi
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41for a given randomly chosen authe
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43Chapter 4Search pruning in video
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45Figure 4.1: System overview.SBS m
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472.52rate of decay of P(τ)1.510.5
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49to be the probability that the al
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51The following lemma describes the
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534.5.1 Typical behavior: average g
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55n = 50 subjects, out of which we
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5710.950.9pruning Gain r(vt)0.850.8
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59for one person, for trait t, t =
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61Chapter 5Frontal-to-side person r
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63Figure 5.1: Frontal / gallery and
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6510.90.80.7Skin colorHair colorShi
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6710.90.80.70.6Perr0.50.40.30.20.10
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69Chapter 6Soft biometrics for quan
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71raphy considerations include [BSS
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73Figure 6.3: Example image of the
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75A direct way to find a relationsh
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77- Pearson’s correlation coeffic
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79shown to have a high impact on ou
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81Chapter 7Practical implementation
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834) Eye glasses detection: Towards
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857.2 Eye color as a soft biometric
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87Table 7.5: GMM eye color results
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89and office lights, daylight, flas
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917.5 SummaryThis chapter presented
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93Chapter 8User acceptance study re
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95Table 8.1: User experience on acc
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97scared of their PIN being spying.
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99Table 8.2: Comparison of existing
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101ConclusionsThis dissertation exp
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103Future WorkIt is becoming appare
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105Appendix AAppendix for Section 3
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107- We are now left withN −F = 2
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109Appendix BAppendix to Section 4B
Page 113 and 114: 111Blue Green Brown BlackBlue 0.75
Page 115 and 116: 113Appendix CAppendix for Section 6
Page 117 and 118: 115Appendix DPublicationsThe featur
Page 119 and 120: 117Bibliography[AAR04] S. Agarwal,
Page 121 and 122: 119[FCB08] L. Franssen, J. E. Coppe
Page 123 and 124: 121[Ley96] M. Leyton. The architect
Page 125 and 126: 123[RN11] D. Reid and M. Nixon. Usi
Page 127 and 128: 125[ZG09] X. Zhang and Y. Gao. Face
Page 129: 2Rapporteurs:Prof. Dr. Abdenour HAD
Page 132 and 133: Biométrie faciale douce 2Les terme
Page 134 and 135: Biométrie faciale douce 4une perso
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Page 144 and 145: Biométrie faciale douce 14Figure 6
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Page 150 and 151: 3hair, skin and clothes. The propos
Page 152 and 153: person in the red shirt”. Further
Page 154 and 155: 7- Not requiring the individual’s
Page 156 and 157: 9Probability of Collision10.90.80.7
Page 158 and 159: 11the color FERET dataset [Fer11] w
Page 160 and 161: 13Table 2: Table of Facial soft bio
Page 162 and 163: 15Chapter 1PublicationsThe featured
Page 166 and 167: 19[ZESH04] R. Zewail, A. Elsafi, M.
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