Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual tracking of high DOF articulated structures: an application to human hand tracking
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
International Journal of Computer Vision
An Appearance-Based Framework for 3D Hand Shape Classification and Camera Viewpoint Estimation
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Real-Time 3-D Hand Posture Estimation Based on 2-D Appearance Retrieval Using Monocular Camera
RATFG-RTS '01 Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems (RATFG-RTS'01)
Navigating a 3D virtual environment of learning objects by hand gestures
International Journal of Advanced Media and Communication
View-Invariant Pose Recognition Using Multilinear Analysis and the Universum
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Recognizing body poses using multilinear analysis and semi-supervised learning
Pattern Recognition Letters
Hand posture estimation in complex backgrounds by considering mis-match of model
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
A multi-view vision-based hand motion capturing system
Pattern Recognition
Silhouette area based similarity measure for template matching in constant time
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Multifactor feature extraction for human movement recognition
Computer Vision and Image Understanding
Segmentation-free, area-based articulated object tracking
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Visual hand posture recognition in monocular image sequences
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Hand detection and tracking using the skeleton of the blob for medical rehabilitation applications
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
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This paper proposes a 2-D appearance-based method of estimating 3-D hand posture. The conventional methods are essentially weak in appearance changes due to the changes of 3-D postures and viewpoint. This weakness can be overcome by registering all the possible appearances but it is not for suitable because of the high DOF of human hand. In the novel method, the variations of possible shape appearances (hand contour) around the registered typical appearances are trained from a number of CG images generated from 3-D hand model. The possible variations are efficiently represented as the Locally-Compressed Feature Manifold (LCFM) in an appearance feature space. The posture estimation for the sequential images is done by tracking the posture in the LCFM. Finally the experimental results show the effectiveness of the method.