An adaptive local binary pattern for 3D hand tracking
作者：
Highlights：
• We propose an adaptive local binary pattern (ALBP) for depth image based applications.
• The proposed ALBP is invariant to both rotation and depth distance in range images.
• Using ALBP, we can extract object feature without using texture or color information.
• We apply the proposed ALBP for hand tracking using depth images.
• The tracking accuracy is compared with several existing hand trackers.
摘要
Highlights•We propose an adaptive local binary pattern (ALBP) for depth image based applications.•The proposed ALBP is invariant to both rotation and depth distance in range images.•Using ALBP, we can extract object feature without using texture or color information.•We apply the proposed ALBP for hand tracking using depth images.•The tracking accuracy is compared with several existing hand trackers.
论文关键词：3D hand tracking,Hand gesture recognition,Human computer interaction,Natural user interface
论文评审过程：Received 5 June 2013, Revised 25 July 2016, Accepted 26 July 2016, Available online 27 July 2016, Version of Record 5 August 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.07.039
