3D Face Reconstruction from Low-Resolution Images with Convolutional Neural Networks
Rouven Winkler, Chengchao Qu, Sascha Voth, Jürgen Beyerer · 2018
During the past years, convolutional neural networks (CNNs) have widely spread as a powerful tool for tackling a variety of challenges posed in computer vision. Consequently, the trend neither does stop at 3D face reconstruction: Recently, several CNN-based approaches for reconstructing the dense 3D geometry of a face from only a single image have been introduced. However, while all of these methods deal with 3D face reconstruction in the high-resolution (HR) case, reconstruction in low-resolution (LR) surveillance scenarios by means of CNNs has not received any attention so far.