摘要
针对现有增强现实系统交互方式的不足,提出并实现了一种基于手形交互与掌纹识别的增强现实应用。提出了一种用于快速识别手形轮廓及其运动轮廓的匹配方法。利用一种改进的快速蚁群聚类算法来获取掌形的中心,建立相关的渲染坐标系,从而精确注册虚拟物体。同时,针对个性化应用需求,提出了一种能够在增强现实系统中应用的Harris快速掌纹识别算法。实验表明,识别算法具有较好的跟踪精度和实时性,能够满足增强现实系统的应用要求。
This paper proposed and implemented an Augmented Reality (AR) system based on hand shape interaction and palmprint recognition. The paper proposed a novel fast identification method of hand contour for contour matching and its movement. This system used an improved ant colony clustering algorithm to get hand center quickly, established relevant rendering system, and registered the virtual object. Meanwhile, for personalized applications, the paper proposed fast Harris palmprint identification algorithm applied in augmented reality. Experiments show that the new algorithm has good recognition precision and real-time tracking performance, and can adapt to the application requirements of augmenting reality systems.
出处
《计算机应用》
CSCD
北大核心
2009年第8期2083-2086,共4页
journal of Computer Applications
基金
国家科技支撑计划(2006BAK13B10)
上海市重点学科建设资助项目(J50103)
关键词
增强现实
蚁群聚类
手形识别
掌纹识别
运动物体匹配
augmented reality
ant colony clustering
hand shape recognition
palmprint recognition
moving object matching