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Face image analysis method for sasang constituition diagnosis

机译:人脸构成诊断的人脸图像分析方法

摘要

The present invention relates to a facial image analysis method for objectively discriminating the constitution of sasang in place of subjective judgment. In the syllable structure discrimination model learning process, feature points of facial images using ASM (Active Shape Models) are extracted and normalized for sampled images to obtain feature values of the defined facial images for sagittal discrimination, and then the SVM (Support Vector Machine) Boundary is derived. In the recognition process, ASM features are extracted from the new facial images, facial features are normalized, feature values of the facial images are obtained, and the final sasang constitution result is derived using the SVM classifier generated during the learning process. The performance of the proposed method is confirmed to be 92%.;
机译:面部图像分析方法技术领域本发明涉及一种用于代替主观判断而客观地判别萨桑的构成的面部图像分析方法。在音节结构判别模型学习过程中,使用ASM(活动形状模型)提取面部图像的特征点并对其进行归一化以获取采样图像,以获取定义的面部图像的特征值以进行矢状辨别,然后使用SVM(支持向量机)边界被导出。在识别过程中,从新的面部图像中提取ASM特征,对面部特征进行归一化,获得面部图像的特征值,并使用在学习过程中生成的SVM分类器得出最终的sasang构成结果。所提出的方法的性能确认为92%。

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