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Viewpoint-independent hand gesture recognition with Kinect - Springer

机译:Kinect-与视点无关的手势识别-Springer

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摘要

The advent and popularity of Kinect provide new choice and opportunity for hand gesture recognition research. Aiming at the effective, accurate and freely used hand gesture recognition with Kinect, this paper presents a viewpoint-independent hand gesture recognition method. Firstly, based on the rules about gesturers posture under optimal viewpoint, the gesturers point clouds are built and transformed to the optimal viewpoint with the exploration of the joint information. Then Laplacian-based contraction is applied to extract representative skeletons from the transformed point clouds. A novel partition-based algorithm is further proposed to recognize the gestures. The promising experiment results show that the proposed method performs satisfyingly on scale and rotation variant in HGR with robustness and high accuracy.
机译:Kinect的出现和普及为手势识别研究提供了新的选择和机会。为了有效,准确,自由地使用Kinect进行手势识别,本文提出了一种与视点无关的手势识别方法。首先,基于最优视点下的手势姿势规则,通过联合信息的探索,建立手势点云并将其转换为最优视点。然后,基于拉普拉斯算子的收缩从变换后的点云中提取代表性骨架。进一步提出了一种新颖的基于分区的算法来识别手势。有希望的实验结果表明,该方法在HGR的缩放和旋转变化方面具有令人满意的性能,且鲁棒性和准确性高。

著录项

  • 来源
    《Signal, Image and Video Processing》 |2014年第1asupplement期|163-172|共10页
  • 作者单位

    1.School of Computer Science Harbin Institute of Technology Harbin  150001 China;

    1.School of Computer Science Harbin Institute of Technology Harbin  150001 China;

    1.School of Computer Science Harbin Institute of Technology Harbin  150001 China;

    1.School of Computer Science Harbin Institute of Technology Harbin  150001 China;

    2.School of Electrical Engineering Princeton University Princeton NY 08544 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Gesture recognition; Viewpoint independent; Kinect; Skeleton extraction;

    机译:手势识别;视点独立;Kinect;骨骼提取;

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