Dynamic time warping for binocular hand tracking and reconstruction

We show how matching and reconstruction of contour points can be performed using dynamic time warping (DTW) for the purpose of 3D hand contour tracking. We evaluate the performance of the proposed algorithm in object manipulation activities and perform comparison with the iterative closest point (ICP) method.

[1]  Takeo Kanade,et al.  DigitEyes: vision-based hand tracking for human-computer interaction , 1994, Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects.

[2]  Vladimir Pavlovic,et al.  Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Paulo R. S. Mendonça,et al.  Model-based 3D tracking of an articulated hand , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[4]  Manolis I. A. Lourakis,et al.  Binocular Hand Tracking and Reconstruction Based on 2D Shape Matching , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[5]  Carlo Tomasi,et al.  3D tracking = classification + interpolation , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[6]  Olivier D. Faugeras,et al.  Finding pose of hand in video images: a stereo-based approach , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.