FENG Zhiquan, YANG Bo, XU Tao, ZHENG Yanwei, GAO Jian. Key Factor-Based Initialization for 3D Hand Tracking[J]. Chinese Journal of Electronics, 2013, 22(4): 751-756.
Citation: FENG Zhiquan, YANG Bo, XU Tao, ZHENG Yanwei, GAO Jian. Key Factor-Based Initialization for 3D Hand Tracking[J]. Chinese Journal of Electronics, 2013, 22(4): 751-756.

Key Factor-Based Initialization for 3D Hand Tracking

Funds:  This work is supported by the National Natural Science Foundation of China (No.61173079, No.60973093, No.61173078), the Key Project of Natural Science Foundation of Shandong Province (No.ZR2011FZ003) and Program for New Century Excellent Talents in University (No.NCET-10-0863). This work is also supported by Opening Fund of Shandong Provincial Key Laboratory of Network based Intelligent Computing.
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  • Corresponding author: FENG Zhiquan
  • Received Date: 2012-07-01
  • Rev Recd Date: 2012-10-01
  • Publish Date: 2013-09-25
  • The discovery of three-dimensional (3D) hand models corresponding to the user's 3D hand pose in initial frames is significant in 3D human hand tracking and interacting. This study proposes an approach to initialize 3D hand gestures for the user to have an easier, more pleasurable, and satisfactory experience. This paper covers the following points. First, a new approach to selecting a human hand gesture from the hand postures database is presented. Second, both techniques of visualization and human-computer interaction are used in the initialization process, through which the 3D human hand model is finetuned time after time until the required accuracy is satisfied. Lastly, the proposed initialization method is applied to our online virtual assembling system. We introduce a key factor to improve time cost of initialization. Our experimental results show that the proposed approach is not only fast, accurate, and robust but also direct, natural, and convenient for operators to handle.
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