Attentive Face Detection and Recognition
In this paper we will present an approach for the attentive detection and recognition of faces in gray-value images. The approach is biologically motivated. The attentive face system, as we call it, shows great robustness with respect to scale, rotation, viewing orientation, changes in illumination, facial expressions, partial occlusions and other distortions caused, e.g., by glasses or a beard. The system has knowledge of several templates of different persons as well as of their exact relative positions. In a first low-level step the system detects relevant image features by evaluating a similarity measurement between local image features and known facial templates. In a second high-level step the system verified the consistency of these features by using the knowledge of the exact relative positions of the templates and reports whether a face was recognized, detected or whether no face was present.
Keywordsface detection face recognition
Unable to display preview. Download preview PDF.
- 2.G. H. Granlund and G. D. Knutsson. Signal Processing For Computer Vision. Kluwer Academic Publisher, 1995.Google Scholar
- 3.U. Mahlmeister, M. Sandgaard, and G. Sommer. Sample-guided progressive image coding. http://www.informatik.uni-kiel.de/˜uhm/research/icprl.ps.gz, accepted in ICPR’98, Brisbane Australia, 1997.Google Scholar
- 4.M. Sandgaard. Attentionsgesteuerte progressive Übertragung von Bildern. Master’s thesis, Institute of Computer Science and Applied Mathematics, University of Kiel, Germany, 1997. in German.Google Scholar
- 5.B. Schiele and J. L. Crowley. Object recognition using multidimensional receptive field histograms. In Proc. Fourth European Conference on Computer Vision, Cambridge, UK, April 15–18, 1996.Google Scholar
- 6.E. P. Simoncelli and W. T. Freeman. The steerable pyramid: a flexible architecture for multi-scale derivative computation. Technical report, GRAPS Laboritory, Philadelphia, 1995.Google Scholar
- 9.L. Wiskott, J. M. Fellous, N. Krüger, and C. v. d. Malsburg. Face recognition and gender determination. In International Workshop on Automatic Face- and Gesture-Recognition, Zurich, Switzerland, June 26–28, 1995.Google Scholar