Meshless parameterization and surface reconstruction
Computer Aided Geometric Design
Meshless Parameterization and B-Spline Surface Approximation
Proceedings of the 9th IMA Conference on the Mathematics of Surfaces
Vision-Based Gesture Recognition: A Review
GW '99 Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction
Real-Time Input of 3D Pose and Gestures of a User's Hand and Its Applications for HCI
VR '01 Proceedings of the Virtual Reality 2001 Conference (VR'01)
Gesture Recognition Using 3D Appearance and Motion Features
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 10 - Volume 10
A hand gesture recognition system based on local linear embedding
Journal of Visual Languages and Computing
Recovering human body configurations: combining segmentation and recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Gesture recognition using quadratic curves
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Real-Time gesture recognition using 3d motion history model
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Dimension reduction in 3d gesture recognition using meshless parameterization
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Heuristic and voxel-based signature for hand posture recognition using a range camera
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
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3D data is getting popular which offers more details and accurate information for posture recognition. However, it leads to computational hurdles and is not suitable for real time application. Therefore, we introduce a dimension reduction method using meshless parameterization with cylindrical virtual boundary for 3D posture representation. The meshless parameterization is based on convex combination approach which has good properties, such as fast computation and one-to-one mapping characteristic. This method depends on the number of boundary points. However, 3D posture reconstruction using silhouettes extraction from multiple cameras had resulted various number of boundary points. Therefore, a cylindrical virtual boundary points is introduced to overcome the inconsistency of 3D reconstruction boundary points. The proposed method generates five slices of 2D parametric appearance to represent a 3D posture for recognition purpose.