Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/99271
Title: Hand pose estimation by combining fingertip tracking and articulated ICP
Authors: Liang, Hui
Yuan, Junsong
Thalmann, Daniel
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Liang, H., Yuan, J., & Thalmann, D. (2012). Hand pose estimation by combining fingertip tracking and articulated ICP. Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry - VRCAI '12, 87-90.
Abstract: In this paper we present a model-based framework for hand pose estimation, which relies on the depth and color image sequence input. The proposed framework adopts a divide-and-conquer scheme, and combines fingertip tracking and articulated iterative closest point approach to restore the hand motion. The tracked fingertip positions are used to provide an initial estimation of the hand pose, and articulated ICP are adopted for further refinement. Experiments on both synthetic data and real-world sequences show the hand pose estimation scheme can accurately capture the natural hand motion.
URI: https://hdl.handle.net/10356/99271
http://hdl.handle.net/10220/12847
DOI: 10.1145/2407516.2407543
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:IMI Conference Papers

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