This hugely expected new version offers a accomplished account of face reputation examine and know-how, spanning the complete diversity of themes wanted for designing operational face reputation platforms. After an intensive introductory bankruptcy, all of the following chapters specialise in a particular subject, reviewing historical past details, updated recommendations, and up to date effects, in addition to supplying demanding situations and destiny instructions. good points: absolutely up-to-date, revised and increased, masking the total spectrum of innovations, tools, and algorithms for automatic face detection and popularity platforms; presents entire insurance of face detection, monitoring, alignment, characteristic extraction, and popularity applied sciences, and matters in evaluate, platforms, protection, and functions; comprises a variety of step by step algorithms; describes a vast variety of purposes; provides contributions from a global choice of specialists; integrates a number of helping graphs, tables, charts, and function facts.
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Extra info for Handbook of Face Recognition
Nonparametric discriminant research for face acceptance. IEEE Trans. trend Anal. Mach. Intell. 31(4), 755–761 (2009) CrossRef 28. Loog, M. , Duin, R. , Haeb-Umbach, R. : Multiclass linear size aid through weighted pairwise Fisher standards. IEEE Trans. development Anal. Mach. Intell. 23(7), 762–766 (2001) CrossRef 29. Loog, M. , Duin, R. P. W. : Linear dimensionality aid through a heteroscedastic extension of lda: The Chernoff criterion. IEEE Trans. development Anal. Mach. Intell. 26, 732–739 (2004) CrossRef 30. Lotlikar, R. , Kothari, R. : Fractional-step dimensionality aid. IEEE Trans. development Anal. Mach. Intell. 22(6), 623–627 (2000) CrossRef 31. Pan, S. J. , Kwok, J. T. , Yang, Q. : move studying through dimensionality relief. In: Proc. of the Twenty-Third AAAI convention on man made Intelligence (2008) 32. Phillips, P. J. , Moon, H. , Rizvi, S. A. , Rauss, P. J. : The Feret review method for face-recognition algorithms. IEEE Trans. development Anal. Mach. Intell. 22, 1090–1104 (2000) CrossRef 33. Rao, C. R. : The usage of a number of measurements in difficulties of organic category. J. R. Stat. Soc. , Ser. B, Methodol. 10(2), 159–203 (1948) MATH 34. Roweis, S. T. , Saul, L. ok. : Nonlinear dimensionality relief by way of in the neighborhood linear embedding. technology 290, 2323–2326 (2000) CrossRef 35. Saon, G. , Padmanabhan, M. : minimal Bayes mistakes characteristic choice for non-stop speech reputation. In: Advances in Neural details Processing platforms, vol. thirteen, pp. 800–806. MIT Press, Cambridge (2001) 36. Schervish, M. : Linear discrimination for 3 recognized general populations. J. Stat. Plan. Inference 10, 167–175 (1984) MathSciNetMATHCrossRef 37. Shakhnarovich, G. , Moghaddam, B. : Face acceptance in subspaces. In: guide of Face reputation, pp. 141–168 (2004) 38. Si, S. , Tao, D. , Geng, B. : Bregman divergence-based regularization for move subspace studying. IEEE Trans. Knowl. facts Eng. 22(7), 929–942 (2010) CrossRef 39. Tao, D. , Li, X. , Wu, X. , Maybank, S. J. : Geometric suggest for subspace choice. IEEE Trans. trend Anal. Mach. Intell. 31(2), 260–274 (2009) CrossRef forty. Tenenbaum, J. B. , de Silva, V. , Langford, J. C. : an international geometric framework for nonlinear dimensionality aid. technology 290(5500), 2319–2323 (2000) CrossRef forty-one. Tibshirani, R. : Regression shrinkage and choice through the lasso. J. R. Stat. Soc. , Ser. B, Stat. Methodol. fifty eight, 267–288 (1996) MathSciNetMATH forty two. Tipping, M. E. , Bishop, C. M. : Probabilistic primary part research. J. R. Stat. Soc. , Ser. B, Stat. Methodol. 61(3), 611–622 (1999) MathSciNetMATHCrossRef forty three. Turk, M. , Pentland, A. : Eigenfaces for acceptance. J. Cogn. Neurosci. three, 71–86 (1991) CrossRef forty four. Wang, X. , Tang, X. : A unified framework for subspace face reputation. IEEE Trans. development Anal. Mach. Intell. 26, 1222–1228 (2004) CrossRef forty five. Wang, X. , Tang, X. : Subspace research utilizing random blend versions. In: complaints of the 2005 IEEE desktop Society convention on desktop imaginative and prescient and development popularity (CVPR’05), vol. 1, pp. 574–580 (2005) CrossRef forty six. Wang, X. , Tang, X. : Random sampling for subspace face reputation.