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基于3D人眼模型的视线跟踪技术综述

A Survey of 3D Eye Model Based Gaze Tracking

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【作者】 周小龙汤帆扬管秋华敏

【Author】 Zhou Xiaolong;Tang Fanyang;Guan Qiu;Hua Min;College of Computer Science and Technology, Zhejiang University of Technology;Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University;

【机构】 浙江工业大学计算机科学与技术学院湖北省水电工程智能视觉监测重点实验室(三峡大学)

【摘要】 针对基于3D人眼模型的视线跟踪技术进行了综述.首先对视线跟踪技术及其常见应用进行了概述;然后简单阐述了现有视线跟踪方法及其分类;重点分析基于3D人眼模型的视线跟踪方法,并根据硬件配置的不同,将基于3D人眼模型的方法分为单摄像头无光源、单摄像头单光源、单摄像头多光源、多摄像头多红外光源及基于RGB-D摄像机5类进行概述,对比分析了现有的基于3D人眼模型的视线跟踪技术;最后对基于3D人眼模型的视线跟踪技术的难点及发展趋势进行了简单的分析与总结.

【Abstract】 In this paper, recent development on 3D eye model based gaze tracking technology is reviewed. Firstly, the basic conception of gaze tracking and its common applications are introduced. Secondly, related work and general classification are briefly reviewed. Thirdly, gaze tracking methods based on 3D eye model are reviewed and discussed in detail. Specifically, five kinds of hardware configuration based methods are classified, which include single camera with no light based method, single camera with single light based method, single camera with multi-light based method, multi-camera with multi-light based method and RGB-D camera based method. Moreover, leading methods of 3D eye model based gaze tracking in the state-of-the-art are compared and discussed in terms of the hardware configuration, tracking accuracy as well as the head movement tolerance. Finally, the challenges and potential development of 3D eye model based gaze tracking technology are briefly summarized.

【基金】 国家自然科学基金(61403342,61103140,11302195);湖北省水电工程智能视觉监测重点实验室开放基金(2014KLA09)
  • 【文献出处】 计算机辅助设计与图形学学报 ,Journal of Computer-Aided Design & Computer Graphics , 编辑部邮箱 ,2017年09期
  • 【分类号】TP391.41
  • 【被引频次】17
  • 【下载频次】680
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