Read e-book online Biometrics and Kansei Engineering PDF

By Khalid Saeed (auth.), Khalid Saeed, Tomomasa Nagashima (eds.)

ISBN-10: 146145607X

ISBN-13: 9781461456070

ISBN-10: 1461456088

ISBN-13: 9781461456087

Biometrics and Kansei Engineering is the 1st e-book to assemble the foundations and purposes of every self-discipline. the way forward for biometrics is short of new applied sciences which may rely on people’s feelings and the prediction in their purpose to take an motion. Behavioral biometrics reviews the way in which humans stroll, speak, and convey their feelings, and Kansei Engineering specializes in interactions among clients, products/services and product psychology. they're turning into fairly complementary.

This booklet additionally introduces biometric functions in our surroundings, which extra illustrates the shut courting among Biometrics and Kansei Engineering. Examples and case experiences are supplied all through this e-book.

Biometrics and Kansei Engineering is designed as a reference ebook for execs operating in those comparable fields. Advanced-level scholars and researchers learning machine technology and engineering will locate this e-book worthwhile as a reference or secondary textual content publication in addition.

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Extra info for Biometrics and Kansei Engineering

Example text

As shown in Fig. 1, the classification problem associated with face detection is highly nonlinear and nonconvex, even more so for face matching. , [11, 12]) and other independent studies indicate that the performance of many state-of-the-art face recognition methods deteriorates with changes in lighting, pose, and other factors [13–15]. , the texture look) of a face is also subject to several other factors, including the facial pose (or, equivalently, camera viewpoint), illumination, and facial expression.

In: Proceedings of IEEE-ICBAKE, IEEE CS Press–CD, Takamatsu, 19–21 Sep 2011, Japan, pp 175–178 56. Kocjan P, Saeed K (2011) Algorithm for extraction feature points from human face and their use in Toeplitz matrices. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice 57. Gao Y, Leung MKH (2002) Face recognition using line edge map. IEEE Trans Pattern Anal Mach Intell 24(6):764–779 58. Ivanevic V, Kaine AK, Mclindin BA, Sunde J (2003) Factor analysis of essential facial features.

Accessed 23 May 2012 3. Kanade T (1973) Picture processing by computer complex and recognition of human faces. D. thesis, Kyoto University 4. Kohonen T (1989) Self-organization and associative memory. Springer, Berlin 5. Kirby M, Sirovich L (1990) Application of the Karhunen-Loeve procedure for the characterization of human faces. IEEE Pattern Anal Mach Intell 12(1):103–108 6. Turk M, Pentland A (1991) Eigenfaces for recognition. J Cog Neurosci 3(1):71–86 7. Fukunaga K (1990) Introduction to statistical pattern recognition, 2nd edn.

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Biometrics and Kansei Engineering by Khalid Saeed (auth.), Khalid Saeed, Tomomasa Nagashima (eds.)


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