基于多級(jí)梯度能量描述的壓縮域人臉檢測(cè)

李曉華; 沈蘭蓀

基于多級(jí)梯度能量描述的壓縮域人臉檢測(cè)

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出版歷程
- 收稿日期: 2004-05-21
- 修回日期: 2005-04-13
- 刊出日期: 2005-12-19

Face Detection in Compressed Domain Based on Multi-level Gradient Energy Presentation

摘要

摘要: 針對(duì)JPEG2000彩色圖像，提出了一種結(jié)合膚色和紋理信息，直接在小波壓縮域操作的人臉檢測(cè)方法。該方法有3大特點(diǎn)：首先，提出了小波域人臉模式的多級(jí)梯度能量描述，在有效表征臉部特點(diǎn)的同時(shí)，可避免復(fù)雜的壓縮域圖像縮放操作，首次較好地解決了壓縮域人臉檢測(cè)中尺寸未知的難點(diǎn)；其次，優(yōu)化YCbCr彩色空間膚色模型，提高膚色分割準(zhǔn)確度；最后，在檢測(cè)器的設(shè)計(jì)中，將基于規(guī)則的簡(jiǎn)單分類器和基于神經(jīng)網(wǎng)絡(luò)的復(fù)雜分類器有機(jī)結(jié)合，進(jìn)一步加快處理速度。實(shí)驗(yàn)結(jié)果表明，提出的方法是有效而快速的。
- 人臉檢測(cè);JPEG2000;膚色模型; 小波壓縮域;多級(jí)梯度能量
Abstract: In this paper, a fast face detection algorithm for JPEG2000 color images is presented，which combines both color and texture information in order to find a good balance between speed and detection reliability. The algorithm is designed to work directly on the wavelet compressed domain which possesses the following characters: First of all, the multi-level gradient energy presentation of face pattern is proposed, which not only can highlight the facial parts in possible face patterns, but also can address effectively the problem of unknown size in face detection in compressed domain and therefore avoid the complex resolution transform in arbitrary ratios ; secondly, the skin-color model in YCbCr space is ameliorated to improve the reliability of skin segmentation; finally, a hierarchical detector which integrates the simply rule-based classifiers and complex neural network based classifier is designed to further improve the processing speed. Experimental results show that the proposed scheme is efficient and effective.

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參考文獻(xiàn)(1)

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