一种改进的梯度人脸定位方法

Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon) Pub Date : 2010-03-18 DOI:10.1109/SECON.2010.5453900

Taolun Chai, Yang Zhang, C. Hung

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引用次数: 1

摘要

在本研究中，我们改进了改进的梯度人脸定位方法。在改进的梯度法(MGM)中，采用了一种类似于罗伯茨算子的方法来检测人脸图像的边缘。提出了用于检测人脸边缘并生成人脸检测梯度的索贝尔边缘检测器。初步的实验结果表明，该方法比改进的梯度方法能更准确地检测人脸。

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An improvement on the modified gradient method for face localization

In this study, we improve the modified gradient method for face localization. In the modified gradient method (MGM) an approach similar to Roberts operator was used for detecting edges in face images. The Sobel edge detector is proposed for detecting edges of a face and generating the gradients for the face detection. Preliminary experimental results show that our proposed method can detect the face more accurately than that of the modified gradient method.

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Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)

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