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Recognition of face direction

机译:识别面向方向

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摘要

From the observations of flesh-colored pixel distributions on UV plane in the LUV color space, an ellipse successfully extracted a face region. A proposed method using ellipse extraction and compensation with Soble boundary was an extension of the method proposed by Adachi et at. Extracted rotate face images by 15 degrees interval were used to make an automatic face direction detecting system. The face direction was estimated through two processes. The first process was a projection into an eigenspace, and the second process was an estimation of direction through analytical interpolation. At first, a seven-dimensional eigenspace was obtained from the principal component analysis of thirteen face images. Then, from the distances in a eigenspace, the face direction was detected analytically. The accuracy of detection of face directions was adequate.
机译:从Luv颜色空间中的紫外线平面上的肉体像素分布的观察,椭圆成功地提取了面部区域。使用椭圆提取和具有索地边界的补偿的提出方法是Adachi ET所提出的方法的扩展。用15度间隔提取的旋转面图像用于制造自动面向检测系统。面部方向通过两个过程估计。第一过程是将投影成尖锐空间,第二过程是通过分析插值的方向估计。首先,从十三个面部图像的主要成分分析中获得七维尖锐物空间。然后,从截止值的距离,分析地检测面部方向。面部方向检测的准确性是足够的。

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