Transformation Invariance in Hand Shape Recognition

11 years 6 months ago
Transformation Invariance in Hand Shape Recognition
In hand shape recognition, transformation invariance is key for successful recognition. We propose a system that is invariant to small scale, translation and shape variations. This is achieved by using a-priori knowledge to create a transformation subspace for each hand shape. Transformation subspaces are created by performing Principal Component Analysis (PCA) on images produced using computer animation. A method to increase the efficiency of the system is outlined. This is achieved using a technique of grouping subspaces based on their origin and then organising them into a hierarchical decision tree. We compare the accuracy of this technique with that of the Tangent Distance technique and display the results.
Thomas Coogan, Alistair Sutherland
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICPR
Authors Thomas Coogan, Alistair Sutherland
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