Open Access
Issue |
MATEC Web of Conferences
Volume 42, 2016
2015 The 3rd International Conference on Control, Mechatronics and Automation (ICCMA 2015)
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Article Number | 04006 | |
Number of page(s) | 5 | |
Section | Machinery manufacturing and industrial applications | |
DOI | https://doi.org/10.1051/matecconf/20164204006 | |
Published online | 17 February 2016 |
- H. D. Ellis, “Practice aspects of face memory,” in Wells, G.R., Loftus, E.F., editors, Eyewitness Testimony. Psychological Perspectives. England: Cambridge University Press, pp. 12–37, (1984) [Google Scholar]
- N. Brace, G. Pike and R. Kemp, “Investigating E-FIT using famous faces, Forensic Psychology and Law, pp 272 – 276 (2000) [Google Scholar]
- D. McQuiston-Surrett, L. D. Topp, and R. S. Malpass. “Use of facial composite systems in US law enforcement agencies.” Psychology, Crime & Law 12.5: 505–517. (2006) [CrossRef] [Google Scholar]
- T. Valentine, and J. P. Davis. Forensic Facial Identification: Theory and Practice of Identification from Eyewitnesses, Composites and CCTV. John Wiley & Sons, 2015. [Google Scholar]
- J. W. Tanaka and M. J. Farah, “The holistic representation of faces,” Perception of faces, objects, and scenes: Analytic and holistic processes, 53–74 2003 [Google Scholar]
- B. Meinhardt-Injac, M. Persike., and G. Meinhardt, “Holistic face processing is induced by shape and texture.” Perception. 42, pp 716–732. doi: 10.1068/p7462 (2013) [CrossRef] [Google Scholar]
- H. Moon and P. J. Phillips, “Computational and performance aspects of PCA-based face-recognition algorithms,” Perception. London, 30.3: 303–322 2001 [CrossRef] [Google Scholar]
- B. Zahradnikova, S. Duchovicova and P. Schreiber, “Facial composite system using genetic algorithm,” in International Doctoral Seminar 2014: Proceedings of the 9th International Doctoral Seminar (IDS 2014), Zielona Góra, Poland, May 19-21, 2014. - ISBN 978-80-8096-195. - S. 270–274 (2014) [Google Scholar]
- K. Kim, “Face recognition using principle component analysis,” in International Conference on Computer Vision and Pattern Recognition. p. 586–591 (1996) [Google Scholar]
- L. I. Smith, “A tutorial on principal components analysis,” Cornell University, USA, 51: 52 (2002) [Google Scholar]
- I. Craw and P. Cameron, “Face recognition by computer,” in BMVC92. Springer London, p. 498–507 (1992) [CrossRef] [Google Scholar]
- M. De Berg, C. Otfried, M. Van Kreveld and M. Overmars, “Computational Geometry: Algorithms and Applications, ” Springer-Verlag, rd edition, ISBN 978-3-540-77973 (2008) [Google Scholar]
- Ch. Frowd, et al. “Automating the Processes Involved in Facial Composite Production and Identification.” Bio-inspired Learning and Intelligent Systems for Security, 2009. BLISS’09. Symposium on. IEEE, (2009) [Google Scholar]
- J. H. Lai, P. C. Yuen and G. C. Feng, “Face recognition using holistic Fourier invariant features,” Pattern Recognition, 34.1: 95–109 2001 [CrossRef] [Google Scholar]
- Y. Liu, S.C. Zhu, Face data. Pattern Recognition and Machine Learning. Available at < www.stat.ucla.edu/~sczhu/Courses/UCLA/Stat_231/Project_I/face_data.zip> [Google Scholar]
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