A Face Detection Method Based on Log-Gabor Filters

Qing Wen Yu; Hong Wang; Hai Bin Zhao; Chong Liu; Shi Yu Yan

doi:10.4028/www.scientific.net/AMR.706-708.1882

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 706-708A Face Detection Method Based on Log-Gabor Filters

A Face Detection Method Based on Log-Gabor Filters

Abstract:

This paper introduces an effective face detection method based on log-Gabor filters. First, Information contained in the log-Gabor transformations is analyzed. Next, 5-scale and 8-orientation log-Gabor filters are constructed to extract feature vectors. Then, a three-layer feedforward network is created for feature classification. After training the network, we test 80 samples. From the experimental result, log-Gabor filters based method has comparable detection performance with Gabor filters based method. Therefore, log-Gabor filters can encode the images more efficiently.

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Periodical:

Advanced Materials Research (Volumes 706-708)

Pages:

1882-1885

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.706-708.1882

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Online since:

June 2013

Authors:

Qing Wen Yu, Hong Wang, Hai Bin Zhao, Chong Liu, Shi Yu Yan

Keywords:

Face Detection, Log-Gabor Filters, Neural Network (NN)

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