Figure 1: A fundamental component of motion modeling with deep learning is the pose parameterization. A suitable parameterization is one that holistically encodes the rotational and positional components. The dual quaternion formulation proposed in this work can encode these two components enabling a rich encoding that implicitly preserves the nuances and subtle variations in the motion of different characters.
A variety of skills are required to develop realistic virtual characters. The aim of the CLIPE project is to train the next generation of researchers in virtual humans and make more realistic virtual characters that are capable of interacting naturally with humans, as Yiorgos Chrysanthou, Nuria Pelechano, Nefeli Andreou and Rafael Blanco explain.
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