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This paper proposes a novel 3D Constrained Local Models (CLM) approach applied for the detection of facial landmarks in 3D images. This approach capitalizes on the properties of Independent Component Analysis (ICA) to define appropriate priors of a face Point Distribution Model. Tailored to the mesh manifold modality, this approach address the limitations of the depth images which require pose normalization...
We present a novel statistical shape model and fitting process for the 3D Constrained Local Models (CLM), exploiting the properties of Independent Component Analysis (ICA), instead of the classic use of Principal Component Analysis (PCA), and adopting a non-Gaussian distribution of the shape prior information. Using ICA permits to exploit the real distribution of shape priors by adopting a Generalised...
The analysis of facial appearance is significant to an early diagnosis of medical genetic diseases. The fast development of image processing and machine learning techniques facilitates the detection of facial dysmorphic features. This paper is a survey of the recent studies developed for the screening of genetic abnormalities across the facial features obtained from two dimensional and three dimensional...
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