计算机科学 ›› 2022, Vol. 49 ›› Issue (4): 174-187.doi: 10.11896/jsjkx.210700084
张继凯1,2, 李琦1,2, 王月明1,2, 吕晓琪2,3
ZHANG Ji-kai1,2, LI Qi1,2, WANG Yue-ming1,2, LYU Xiao-qi2,3
摘要: 鉴于人机交互(Human-Computer Interaction,HCI)系统和虚拟现实(Virtual Reality,VR)系统的应用需要,三维手势跟踪领域的理论和方法研究已成为国内外广泛关注的热点课题之一。近年来,基于计算机视觉的三维手势跟踪算法迅速发展,其中成本较低且较为普遍的单目RGB相机最具潜力,它是三维手势跟踪应用得以照进现实的重要工具和途径,成为了研究者们的研究重点。为了解在此基础上的手势跟踪算法的发展现状,辅助该领域的研究者们进行更深入的探索,文中首先在与传统方法的对比中引出了基于单目RGB图像的三维手势跟踪算法,并将其分为判别法、生成法和混合法3类,概括了其相应的优缺点;其次讨论了RGB图像特点对三维手势跟踪的影响,并归纳了缓解图像深度模糊性的方法;然后根据分类着重分析了以RGB为输入数据的代表性算法,通过可视化的性能评估指标比较了相关算法的具体优势和不足;最后总结了当前三维手势跟踪算法面临的难题并对未来的发展进行了展望。
中图分类号:
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