Abstract
This chapter describes work undertaken at BT Laboratories to produce a system, based on the use of neural network feature detectors, to robustly locate and track features in digital image sequences. We have concentrated on the location of eyes and mouths in human head-and-shoulders images, although the techniques described should be applicable to determining the position of localised features in other objects.
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References
Nightingale C, Hutchinson R A, “Artificial neural nets and their application to image processing”, British Telecom Technology Journal, Vol. 8, No. 3, pp. 81–93, July 1990.
Hines E, and Hutchinson R A, “Application of Multi-layer Perceptrons to Facial Feature Location”, Proc. 3rd IEE Int. Conf. on Image Processing and its Applications, Warwick UK, July 1989.
Hutchinson R A and Welsh W J, “Comparison of Neural Networks and Conventional Techniques for Feature Location in Facial Images”, Proc. 1st IEE Int. Conf. on Artificial Neural Networks, London, October 1989.
Vincent J M, “Facial Feature Location in Coarse Resolution Images by Multi-Layered Perceptions”, Proc. Int. Conf. on Artificial Neural Networks (ICANN-91), Vol. I, pp. 821-826, 24–28 June 1991, Elsevier Science.
Vincent J M, Myers D J, Hutchinson R A, “Image feature location in multi-resolution images using a hierarchy of multi-layered perceptions”, in, Lingard, Myers and Nightingale (Eds): ‘Neural networks for images, speech and natural language’, Chapman Hall, UK, 1992.
Vincent J M, Waite J B, Myers D J, “Location of feature points in images using neural networks”, BT Technology Journal, Vol 10, No 3, July 1992.
Waite J B, “Facial Feature Location Using Multilayer Perceptrons and Micro-features”, Proc. IEEE Int. Jnt. Conf. on Neural Networks (IJCNN-91), Vol. 1, pp. 292–299, 18–21 Nov. 1991.
Vincent J M, Waite J B, Myers D J, “Precise location of facial features by a hierarchical assembly of neural nets”, Proc. IEE 2nd Int. Conf. on Artificial Neural Networks, ANN-91, 18–20 November 1991, pp. 69-73.
Vincent J M, Waite J B, Myers D J, “Automatic location of visual features by a system of multilayered perceptrons”, IEE Proceedings-F, Vol. 139, No. 6, pp. 405-12, December 92.
Maxwell T et Al, “Transformation Invariance Using High Order Correlations in Neural Net Architectures” IEEE Int. Conf. on Systems Man and Cybernetics, Atlanta, Georgia. October 1986.
Rumelhardt D E, and McClelland J L, Parallel Distributed Processing; Volume 1: Foundations”, The MIT Press 1987.
Allred L G, Kelly G E, “Supervised learning techniques for backpropagation networks”, Proc. IJCNN, 1990, Vol. 1, pp. 721-8.
Popesco V, Vincent J M, “Location of facial features using a Bolzmann machine to implement geometrical constraints”, Chapter 14 in ‘Techniques and applications of neural networks’, Taylor M, Lisboa P (Eds), Ellis Horwood Workshop Series, 1993, Ellis Horwood.
Wan E A, “Neural Network Classification: A Bayesian Interpretation”, IEEE Trans. Neural Networks, Vol. 1, No. 4, pp. 303–305, Dec. 1990.
Ruck D W, et al, “The Multilayer Perception as an Approximation to a Bayes Optimum Discriminant function”, IEEE Trans. Neural Networks, Vol. 1, No. 4, pp. 296–298, Dec. 1990.
Orrey D A, Myers D J, Vincent J M, “A High Performance Digital Processor for Implementing Large Artificial Neural Networks”, Proc. Custom Integrated Circuit Conference CICC-91, San Diego, Ca., 12–15 May 1991.
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© 1995 Springer Science+Business Media New York
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Vincent, J.M. (1995). Face Finding in Images. In: Murray, A.F. (eds) Applications of Neural Networks. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2379-3_2
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DOI: https://doi.org/10.1007/978-1-4757-2379-3_2
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