It is very challenging to construct a personalized virtual hand because of the complex shape and rich details of a human hand. An approach is proposed based on stereo vision and RBF interpolation to construct a personalized virtual hand model. Contour points and SIFT points are integrated to depict the features of a human hand

while a three-dimensional point cloud is extracted via stereo vision. A two-pass geometry alignment is performed to match a three-dimensional hand template to the point features. Guided by the point features

RBF interpolation is employed to deform the hand template to produce the personalized virtual hand model. Experimental results show that the proposed approach is functional enough to reconstruct the geometry of user’s hand.