基于OpenCV的手势识别算法研究与应用  

Research and application of gesture recognition algorithm based on OpenCV

作　　者：廖学成 宋燕燕 Liao Xuecheng;Song Yanyan(Communication University of Nanjing,Nanjing 211172,China)

机构地区：[1]南京传媒学院,江苏南京211172

出　　处：《无线互联科技》2023年第22期112-115,共4页Wireless Internet Technology

基　　金：全国高等院校计算机基础教育研究会计算机基础教育教学研究项目,项目编号:2022-AFCEC-409;江苏省第六期“333人才”培养支持项目。

摘　　要：随着人机交互需求的日益增加,以人为中心的交互技术成为了研究热点。文章构建了一种可以对图像最佳阈值进行切割并进行手势识别的深度学习模型,利用傅里叶描述子计算轮廓,通过图像预处理、肤色检测、特征提取、图像分割等处理进行手势识别,提取出相关信息。综合上述技术,深度学习模型将会有很好的应用价值。With the increasing demand for human-computer interaction,human-centered interaction technology has become a research hotspot.This paper constructs a deep learning model that can cut the best threshold of the image and perform Gesture recognition.Using Fourier descriptors to calculate the contour,Gesture recognition is carried out through image preprocessing,skin color detection,feature extraction,image segmentation and other processing,and relevant information is extracted.Based on the above technologies,the deep learning model implemented in this article will have great application value.

关 键 词：肤色检测 手势识别 傅里叶描述子 图像分割 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]