人脸和眼睛定位的多检测器融合

R. Belaroussi, M. Milgram, L. Prevost
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引用次数: 18

摘要

提出了一种用于彩色图像中人脸和眼睛定位的新方法。它结合了不同的专家。使用三个模型(连接模型、椭圆模型和肤色模型)的线性组合进行人脸定位。将眼睛模型(中文变换)和颜色模型(改进的GMM)进行乘积融合,粗略地找到眼睛的位置。然后在这些位置提取的四个信息源之间进行“与”操作。这导致了眼睛的精确定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fusion of multiple detectors for face and eyes localization
We present a new method dedicated to the localization of faces and eyes in color images. It combines different experts. A linear combination of three models (a connexionist model, an ellipse model, and a skin color model) is used for face localization. A product fusion of an eye model (Chinese transform) and a color model (modified GMM) find coarsely the eyes location. Then an "AND " operation between four sources of information extracted at these positions. This leads to a refined localization of the eyes.
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