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Robust multi-view face detection methods and apparatuses

机译:鲁棒的多视角人脸检测方法及装置

摘要

Face detection techniques are provided that use a multiple-stage face detection algorithm. An exemplary three-stage algorithm includes a first stage that applies linear-filtering to enhance detection performance by removing many non-face-like portions within an image, a second stage that uses a boosting chain that is adopted to combine boosting classifiers within a hierarchy “chain” structure, and a third stage that performs post-filtering using image pre-processing, SVM-filtering and color-filtering to refine the final face detection prediction. In certain further implementations, the face detection techniques include a two-level hierarchy in-plane pose estimator to provide a rapid multi-view face detector that further improves the accuracy and robustness of face detection.
机译:提供了使用多阶段面部检测算法的面部检测技术。示例性的三阶段算法包括:第一阶段,其通过去除图像中的许多非面部部分来应用线性滤波以增强检测性能;第二阶段,其使用增强链,该增强链被用于在层次结构中组合增强分类器。 “链”结构,以及第三阶段,该阶段使用图像预处理,SVM过滤和颜色过滤执行后过滤,以完善最终的面部检测预测。在某些进一步的实施方式中,面部检测技术包括两级分层平面内姿势估计器,以提供快速的多视点面部检测器,其进一步提高了面部检测的准确性和鲁棒性。

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