结合支持向量机进行准确的人脸检测

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205) Pub Date : 2001-10-07 DOI:10.1109/ICIP.2001.959230

I. Buciu, Constantine Kotropoulos, I. Pitas

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引用次数: 32

摘要

为了选择最适合正面人脸检测的学习机，本文提出了对多个支持向量机的输出进行多数投票的方法。第一个实验结果表明，假阳性模式的率显著降低。

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Combining support vector machines for accurate face detection

The paper proposes the application of majority voting on the output of several support vector machines in order to select the most suitable learning machine for frontal face detection. The first experimental results indicate a significant reduction of the rate of false positive patterns.

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Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)

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