Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters

9 Feb 2019Marcin Kopaczka • Justus Schock • Dorit Merhof

We present a method for highly efficient landmark detection that combines deep convolutional neural networks with well established model-based fitting algorithms. Instead of computing the model parameters using iterative optimization, the PCA is included in a deep neural network using a novel layer type. Our architecture allows direct end-to-end training of a model-based landmark detection method and shows that deep neural networks can be used to reliably predict model parameters directly without the need for an iterative optimization.

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