面向智能机器人警卫的快速垂直姿态不变人脸识别模块

Zong X. Lin, Weicheng Yang, Chian C. Ho, Chin-Song Wu
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引用次数: 8

摘要

基于半三维长方体人脸模型,提出了一种简单实用的预处理方法来恢复智能机器人警卫人脸识别模块的垂直位姿变化。所提出的快速半三维垂直姿态恢复方法仅从单个2D图像视图中评估垂直姿态变化的角度,从而将垂直旋转的人脸恢复到近正面视图。因此,恢复后的人脸图像可以被原始人脸识别模块更精确有效地识别。在实验中,本文采用Gabor小波变换作为原始人脸识别模块的特征提取核心。实验结果表明,该方法可以显著提高人脸识别模块在不同垂直姿态条件下的识别精度和识别置信度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast vertical-pose-invariant face recognition module for intelligent robot guard
Based on a semi-3D cuboid face model, this paper proposes a simple but practical preprocessing method to recover the vertical pose variation for the face recognition module of the intelligent robot guard. The proposed Fast Semi-3D Vertical Pose Recovery method evaluates the angle of the vertical pose variation simply from a single 2D image view and thereby recovers the vertical-rotated face to the nearly frontal view. Consequently, the recovered face image can be identified by the original face recognition module more precisely and effectively. In the experiment, this paper adopts Gabor Wavelet transform as the feature extraction core of the original face recognition module. Experimental results show the proposed method can significantly raise both recognition accuracy and recognition confidence of the face recognition module under various vertical pose conditions.
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