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Synthesis of 3D on-air signatures with the Sigma-Lognormal model
Addressing the usual cases involving the development of artificial individuals and duplicated samples, this paper contributes to the synthesis of: (1) the trajectory and velocity of entirely 3D new signatures; (2) kinematic information when only the 3D trajectory of the signature is known, and (3) duplicate samples of 3D real signatures.
iDeLog: Iterative Dual Spatial and Kinematic Extraction of Sigma-Lognormal Parameters
The first one, influenced by the motor equivalence model, separately derives an initial action plan defined by a set of virtual points and angles from the trajectory and a sequence of lognormals from the velocity.
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