Abstract
Motivated by human eye movement strategies a computer based ’attentional mechanism’ for processing face images is developed that comprises preattentive and attentive processing strategies. Both parts use a common filtering framework based on steerable filters. During the preattentive processing, prominent facial regions like the eye or the mouth region are localized. The selected regions are analyzed in more detail in the attentive processing step. A variety of complex features are derived applying an efficient filter method based on steerable filters.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
R. Brunelli and T. Poggio, Face recognition: features versus templates, IEEE PAMI-15, 1042–1052, 1993.
A. Califano, R. Kjeldsen and R.M. Bolle, Data and model driven foveation, Proc. 10th. ICPR 90, 1990.
W.T. Freeman and E.H. Adelson, The design and use of steerable filters for image analysis, IEEE PAMI-13, 891–906, 1991.
R. Herpers, H. Kattner, H. Rodax and G. Sommer, GAZE: An attentive processing strategy to detect and analyze the prominent facial regions, Proc. Int. Workshop on Automatic Face-and Gesture-Recognition, Zurich, Switzerland, 1995.
M. Michaelis and G. Sommer, Junction classification by multiple orientation detection, ECCV'94, Stockholm, Vol.1, Eklundh (Ed.), 101–108, 1994.
M. Michaelis, Low level image processing using steerable filters, PhD thesis, Christian-Albrechts-Universität, D-24105 Kiel, Germany, 1995.
B. Ohlshausen, C. Anderson, and D. v. Essen, A neural model of visual attention and invariant pattern recognition, CNS Memo 18, Caltech Pasadena, 1992.
P. Perona, Steerable-scalable kernels for edge detection and junction analysis, ECCV'92, 3–18, 1992.
A. Treisman, Preattentive processing in vision, CVGIP, vol.31, 156–177, 1985.
J.K. Tsotsos, Localizing stimuli in a sensory field using an inhibitory attentional beam Tech.-Rep. M5s 1A4, Univ. of Toronto, Dep. of Comp. Sci., Canada (1991)
A.L. Yarbus, Eye Movements and Vision, New York: Plenum Press, 1967.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Michaelis, M., Herpers, R., Sommer, G. (1995). A common framework for preattentive and attentive vision using steerable filters. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_402
Download citation
DOI: https://doi.org/10.1007/3-540-60268-2_402
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60268-2
Online ISBN: 978-3-540-44781-8
eBook Packages: Springer Book Archive