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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/101604

    Title: New Face Detection Method Based on Multi-Scale Histograms
    Authors: 林智揚;LIN, CHIH-YANG;*;Fu, Jing Tong;Fu, Jing Tong;Sheng, Hung W;Wang, Sheng Hung;黃仲陵;Huang, Chung-Lin
    Contributors: 生物資訊與醫學工程學系
    Date: 2016-04
    Issue Date: 2016-11-08 10:15:40 (UTC+8)
    Abstract: Face detection plays a significant role in many applications, such as video surveillance, gender classification, and facial recognition. In this paper, we propose a new face detection method based on multi-scale histograms. The proposed method uses a multi-scale histogram to represent a face, thereby improving computational efficiency, and making the process suitable for big-data multimedia databases. The experimental results show that the proposed method can achieve accuracy rates similar to the LBP-based method, but at a speed over 10 times more quickly when the block size is properly set.
    Relation: The Second IEEE International Conference on Multimedia Big Data
    Appears in Collections:[生物資訊與醫學工程學系 ] 期刊論文

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