Landmark detection from 3D mesh facial models for image-based analysis of dysmorphology.

Facial landmark detection is a task of interest for facial dysmorphology, an important factor in the diagnosis of genetic conditions. In this paper, we propose a framework for feature points detection from 3D face images. The method is based on 3D Constrained Local Model (CLM) which learns both global variations in the 3D facial scan and local changes around every vertex landmark.

Wavelet based method for detection: application in proprioceptive rehabilitation.

After knee or ankle injury, Freeman has proposed a rehabilitation program consisting in a prolonged maintain of monopodal equilibrium on an unstable plateform. The efficacy of such programs, often debated, is evaluated in the present study by a quantification of equilibrium criteria and electromyographical activities along the rehabilitation program. Our aim is to detect all events in the four EMG signals of soleus, tibialis anterior, peroneus longus and vastus medialis muscles and then deduce the stability of the person.