一种基于个性化需求的智能配镜算法研究

AN INTELLIGENT MATCHING GLASSES ALGORITHM BASED ON PERSONALIZED DEMAND

为实现基于用户个性化需求信息的智能配镜功能,构建用户个性化需求信息数据模型。搭建智能配镜眼镜模型库,建立用户个性化需求信息与眼镜模型库之间的智能匹配模型。将智能匹配流程划分为基于DFS的眼镜模型库检索、基于语义相似度的眼镜框型匹配、面部参数匹配、优化调整四个阶段。设计实现了用户个性化需求信息与眼镜模型库之间的智能匹配算法。应用该智能匹配算法开发智能配镜系统,并与关键词匹配算法进行对比,验证了该智能匹配算法的合理性及有效性。

In order to realize the intelligent matching glasses function based on personalized demand,we constructed a data model of user’s personalized demand information. We built the glasses model library based on the glasses parametric design system,and established the intelligent matching model between the user’s personalized demand information and the glasses model library. The intelligent matching process was divided into four stages: model library retrieval,feature matching,parameters matching and optimization adjustment. We designed and implemented an intelligent matching algorithm between user personalized demand information and glasses model library. The intelligent matching algorithm was applied to develop an intelligent optician system. Compared with keyword matching algorithm,the rationality and effectiveness of the intelligent matching algorithm are verified.