@inproceedings{carli2006study,
  title={Study of muscular deformation based on surface slope estimation},
  author={Carli, M and Goffredo, M and Schmid, M and Neri, A},
  booktitle={Electronic Imaging 2006},
  pages={60640U--60640U},
  year={2006},
  organization={International Society for Optics and Photonics}
}

Abstract
During contraction and stretching, muscles change shape and size, and produce a deformation of skin tissues and a
modification of the body segment shape. In human motion analysis, it is very important to take into account these
phenomena. The aim of this work is the evaluation of skin and muscular deformation, and the modeling of body
segment elastic behavior obtained by analysing video sequences that capture a muscle contraction. The soft tissue
modeling is accomplished by using triangular meshes that automatically adapt to the body segment during the execution
of a static muscle contraction. The adaptive triangular mesh is built on reference points whose motion is estimated by
using non linear operators. Experimental results, obtained by applying the proposed method to several video sequences,
where biceps brachial isometric contraction was present, show the effectiveness of this technique.

ESTE TRABAJO ME PUEDE DAR UNA NUEVA FEATURE EL STDP 

The authors of  \cite{carli2006study} propose an improvement to their prevous work \cite{goffredo2005evaluation} evaluate skin and muscular deformation modeling elastic behaivour from skin video sequences of arm muscle contraction. they model the phenomenon using triangular meshes adapted to the images of the arm and a soft tissue modeling technique. The final purpose is to quantify muscular and skin deformation from the videos and for this purpose they propose a parameter called soft tissue deformation paramter (STDP) based on the area of the triangles of a particular mesh.