Abstract
Based on Rowley’s approach, this article proposes a new architecture that uses a specific optimization technique, the DIRECT (DIviding RECTangle) algorithm, to improve the efficiency of face detection in images. The system consists of two main parts: a neural network-based face detection arbitrator, and a search strategy based on an integer-handling DIRECT algorithm. By the architecture, the number of arbitrations is dramatically reduced, and human faces, if they are present in an image, are not restricted to predetermined resolutions and aspect ratios. Experimental results show that the proposed architecture is efficient in terms of both speed and robustness.
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References
Hjelmås E, Low BK (2001) Face detection: a survey. Comp Vision Image Understanding 83:236–274
Rowley HA, Baluja S, Kanade T (1998) Neural network-based face detection. IEEE Trans Pattern Anal Mach Intel 20:23–38
Rowley HA, Baluja S, Kanade T (1998) Rotation invariant neural network-based face detection. Proc Comput Vision Pattern Recognition:38–44
Garcia C, Delakis M (2004) Convolutional face finder: a neural architecture for fast and robust face detection. IEEE Trans Pattern Anal Mach Intell 26:1408–1423
Curran K, Li X, Caughley NM (2005) The use of neural networks in real-time face detection. J Comp Sci 1:47–62
Hartono P, Hashimoto S (2004) A robust face detector algorithm utilizing neural networks and partial template matching. Proc SPIE 5603:119–127
Chang YZ, Hung GT (2006) Detection of face pose with neural networks. Int Sym Artif Life Robotics (AROB’11), Oita, Japan, Jan. 23–25, 2006 (CD-ROM)
Jones DR, Perttunen CD, Stuckman BE (1993) Lipschitzian optimization without the Lipschitz constant. J Optimization Theor Appl 79:157–181
Floudas CA, Pardalos PM (2001) Encyclopedia of optimization. Kluwer Academic, London
Zhu H, Bogy DB (2002) DIRECT algorithm, and its application to slider air-bearing surface optimization. IEEE Trans Magnetics 38:2168–2170
Zhu H, Bogy DB (2004) Hard disc drive air bearing design: modified DIRECT algorithm and its application to slider air bearing surface optimization. Tribol Int 37:93–201
Sung KK (1993) Learning and example selection for object and pattern detection. PhD Thesis, MIT AI Lab
Ham FM, Kostanic I (2001) Principles of neurocomputing for science and engineering. McGraw-Hill, Singapore
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Chang, YZ., Hung, KT. & Lee, ST. Human face detection with neural networks and the DIRECT algorithm. Artif Life Robotics 12, 112–115 (2008). https://doi.org/10.1007/s10015-007-0491-3
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DOI: https://doi.org/10.1007/s10015-007-0491-3