The 3D reconstruction of an accurate face model is essential for delivering reliable feedback for clinical decision support. Medical imaging and specific depth sensors are accurate but not suitable for an easy-to-use and portable tool. The recent development of deep learning (DL) models opens new...
The 3D reconstruction of an accurate face model is essential for delivering reliable feedback for clinical decision support. Medical imaging and specific depth sensors are accurate but not suitable for an easy-to-use and portable tool. The recent development of deep learning (DL) models opens new...
The 3D reconstruction of an accurate face model is essential for delivering reliable feedback for clinical decision support. Medical imaging and specific depth sensors are accurate but not suitable for an easy-to-use and portable tool. The recent development of deep learning (DL) models opens new...
Then, for the alignment, they used a mapping between the partial face key points and the anchor points of the learned face model to match the learned holistic face model to an input partial face image. To eliminate outlier correspondence, a shape constraint is used in this case and a ...
Ref. [133] used a traditional AE with a single hidden layer to reduce the dimensionality and further used it for the classification of the MNIST and Olivetti face datasets. Both these two datasets contain gray-scale images. Because the traditional AE is a fully connected network, the authors ...