Abstract
We propose a method for detecting and describing features of faces using deformable templates. The feature of interest, an eye for example, is described by a parameterized template. An energy function is defined which links edges, peaks, and valleys in the image intensity to corresponding properties of the template. The template then interacts dynamically with the image by altering its parameter values to minimize the energy function, thereby deforming itself to find the best fit. The final parametr values can be used as descriptors for the feature. We illustrate this method by showing deformable templates detecting eyes and mouths in real images. We demonstrate their ability for tracking features.
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Ayache, N., Boissonnat, J.D., Brunet, E., Cohen, L., Chieze, J.P., Geiger, B., Monga, O., Rocchisani, J.M., and Sander, P. 1989. Building highly structured volume representations in 3D medical images, Comp. Assoc. Rad., Proc. Intern. Symp., Berlin, pp. 765–772.
Ballard, D.H., and Brown, C.M., 1982. Computer Vision Prentice-Hall: Englewood Cliffs, NJ.
Bennett, A., and Craw, I., 1991. Finding image features for deformable templates and detailed prior statistical knowledge. Preprint. Dept. Mathematical Sciences, University of Aberdeen. Scotland.
Brunelli, R., 1991. Face recognition: Dynamic programming for the detection of face outline, Technical Report 910–06, Instituto per la Ricerca Scientifica e Tecnologica, Trento, Italy.
Burr, D.J., 1981a. A dynamic model for image registration, Comput. Graph. Image Process. 15:102–112.
Burr, D.J., 1981b. Elastic matching of line drawings, IEEE Trans. Patt. Anal. Mach. Intell. 3(6):708–713.
Durbin, R., and Willshaw, D.J., 1987. An analogue approach to the travelling salesman problem using an elastic net method, Nature. pp. 689–691.
Durbin, R., Szeliski, R., and Yuille, A.L., 1989. An analysis of the elastic net approach to the travelling salesman problem, Neurol Computat. 1:348–358.
Grenander, U., Chow, Y. and Keenan, D.M., 1991. HANDS. A Pattern Theoretical Study of Biological Shapes. Springer-Verlag: New York.
Hallinan, P.W., 1991. Recognizing human eyes. Proc. Conf. 1570. SPIE San Diego.
Huber, P.J., 1981. Robust Statistics. Wiley: New York.
Kanade, T., 1977. Computer recognition of human faces, Birkhauser Verlag, Basel and Stuttgart.
Kass, M., Witkin, A., and Terzopoulos, D., 1987. Snakes: Active contour models, Proc. 1st Intern. Conf. Comput. Vis. London, June.
Lipson, P., Yuille, A.L., O'Keefe, D., Cavanaugh, J., Taaffe, J. and Rosenthal, D., 1990. Deformable templates for feature extraction from medical images. Proc. 1st Europ. Conf. Comput. Vis. Antibes, France.
Maragos, P., 1987. Tutorial on advances in morphological image processing and analysis, Optical Engineering 26: 623–632, July.
Parisi, G., 1988. Statistical Field Theory, Addison-Wesley: Reading, MA.
Pentland, A., 1987. Recognition by parts. Proc. 1st Intern. Conf. Comput. Vis., London, June.
Serra, J., 1982. Image, Analysis and Mathematical Morphology, Academic Press: New York.
Shackleton, M.A., and Welsh, W.J. 1991. Classification of facial features for recognition Proc. Comput. Vis. Patt. Recog. Hawaii pp. 573–579.
Yuille, A.L., Cohen, D.S., and Hallinan, P.W., 1989. Feature extraction from faces using deformable templates, Proc. Comput. Vis. Patt. Recog., pp. 104–109.
Yuille, A.L., and Hallinan, P.W., 1992. Deformable templates, in Active Vision, ed. A.Blake and A.L.Yuille. M.I.T. Press: Cambridge, to appear.
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Yuille, A.L., Hallinan, P.W. & Cohen, D.S. Feature extraction from faces using deformable templates. Int J Comput Vision 8, 99–111 (1992). https://doi.org/10.1007/BF00127169
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DOI: https://doi.org/10.1007/BF00127169