3D Hand pose modeling from uncalibrate monocular images

Hand pose modeling is one of the most challenging research areas in Computer Animation due to the difficulty of hand model, which consist of more than 20 degrees of freedom and require the construction of a large high-dimensional database of poses. In this paper, we propose a method of 3D hand pose modeling based on a new set of constraints and optimization framework to reduce the ambignity between 2D joint location and 3D hand poses. Our method does not need prior knowledge of the bone length and camera parameters. Furthermore, a large high-dimension database used for searching is not needed to be constructed. An experiment was performed on the real data set captured from a webcam. the results shows that the proposed set of constraints are sufficient to reconstruct the hand poses with desirable accuracy.

[1]  Camillo J. Taylor,et al.  Reconstruction of articulated objects from point correspondences in a single uncalibrated image , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[2]  Robert Carson,et al.  Motion Capture , 2009, Encyclopedia of Biometrics.

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

[4]  Stan Sclaroff,et al.  Estimating 3D hand pose from a cluttered image , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[5]  Stan Sclaroff,et al.  3D hand pose reconstruction using specialized mappings , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[6]  Jinxiang Chai,et al.  Modeling 3D human poses from uncalibrated monocular images , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[7]  Jun Park,et al.  LED-Glove Based Interactions in Multi-Modal Displays for Teleconferencing , 2006, 16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06).

[8]  Camillo J. Taylor,et al.  Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image , 2000, Comput. Vis. Image Underst..

[9]  Mircea Nicolescu,et al.  Vision-based hand pose estimation: A review , 2007, Comput. Vis. Image Underst..

[10]  Björn Stenger,et al.  Model-based hand tracking using a hierarchical Bayesian filter , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Ying Wu,et al.  Modeling the constraints of human hand motion , 2000, Proceedings Workshop on Human Motion.