Shape analysis

Shape analysis

For shape analysis we have focused efforts on the recovery of 3D facial shape from one or several 2D images. To this end, two approaches have been explored:

  • Statistical approaches

Here, a previously built model is learnt for variations of shape and texture. These models are usually constructed by maximizing covariance (finding principal components) of either shape and texture. We use the Basel face model, as full correspondences are also available for all of the vertexes in cylindrical coordinates. For many shape analysis problems (not necessarily face analysis), coupled variations provide a more suitable way for understanding the nature of data and the hidden language of the variables involved in the studied phenomena. Our most recent research involves predicting full 3D shape from 2D occluding contours. The main idea is illustrated in the following figure:


Posted on

8 December, 2017

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