论文阅读 《BiCov: a novel image representation for person re-identification and face verification》
本文提出了一种对于背景和光照鲁棒的特征表示方法，它基于生物启发特征(BIF)和协方差描述符，并且能广泛的应用于面部识别和Re-ID的任务中，得到了较高的准确率。 1.Introduction 在人脸识别和Re-ID任务中，需要在光照、姿态、视角、背景、部分遮挡和分辨率方面发生变化的情况下正确识别query和gallery中的图片。在这篇文章中，提出了一种新的基于生物启发特征和协方差描述符的图像表示
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