In this paper is proposed a hybrid face detector that combines the high processing speed of an Asymmetrical Adaboost Cascade Detector with the high detection rate of a Wavelet Bayesian Detector. This integration is achieved by incorporating this last detector in the middle stages of the cascade detector. Results of the application of the proposed detector to a standard face detection database are also presented.
CITATION STYLE
Verschae, R., & del Solar, J. R. (2003). Hybrid face detector based on an asymmetrical adaboost cascade detector and a Wavelet-Bayesian-Detector. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2686, pp. 742–749). Springer Verlag. https://doi.org/10.1007/3-540-44868-3_94
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