摘要
针对共享课程视频中运行图像的识别问题,对图像处理及人脸识别展开研究。基于Haar-like特征下,采用Adaboost算法进行人脸检测,以OpenCV为平台训练级联分类器,实现了在PC机上进行快速的检测,有较强的实用性。
Aiming at the problem of running image recognition in the shared course video, image processing and face recognition were studied. Based on the haar-like characteristics, Adaboost algorithm is adopted for face detection. OpenCV is used as the platform to train the cascade classifier, which realizes rapid detection on PC with strong practicability.
作者
王颖
WANG Ying(Zaozhuang Vocational College of Science and Technology, Zaozhuang Shandong 277100, China)
出处
《佳木斯大学学报（自然科学版）》
CAS
2019年第3期400-402,共3页
Journal of Jiamusi University：Natural Science Edition
基金
山东省教育教学研究课题:(2018JXY2082)
2018年度山东省职业教育精品资共享课程
