Static and dynamic 3D facial expression recognition: A comprehensive survey
Automatic facial expression recognition constitutes an active research field due to the latest
advances in computing technology that make the user's experience a clear priority. The …
advances in computing technology that make the user's experience a clear priority. The …
[HTML][HTML] Survey on 3D face reconstruction from uncalibrated images
Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …
analysis and its applications. Despite providing a more accurate representation of the face …
Sfsnet: Learning shape, reflectance and illuminance of facesin the wild'
We present SfSNet, an end-to-end learning framework for producing an accurate
decomposition of an unconstrained human face image into shape, reflectance and …
decomposition of an unconstrained human face image into shape, reflectance and …
3d face morphable models" in-the-wild"
Abstract 3D Morphable Models (3DMMs) are powerful statistical models of 3D facial shape
and texture, and among the state-of-the-art methods for reconstructing facial shape from …
and texture, and among the state-of-the-art methods for reconstructing facial shape from …
4dfab: A large scale 4d database for facial expression analysis and biometric applications
The progress we are currently witnessing in many computer vision applications, including
automatic face analysis, would not be made possible without tremendous efforts in collecting …
automatic face analysis, would not be made possible without tremendous efforts in collecting …
3d face recognition: Two decades of progress and prospects
Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …
decades due to its wide range of applications in many areas, such as security and forensics …
Sharingan: Combining synthetic and real data for unsupervised geometry estimation
We propose a novel method for combining synthetic and real images when training
networks to determine geometric information from a single image. We suggest a method for …
networks to determine geometric information from a single image. We suggest a method for …
Deep neural networks for modeling visual perceptual learning
Understanding visual perceptual learning (VPL) has become increasingly more challenging
as new phenomena are discovered with novel stimuli and training paradigms. Although …
as new phenomena are discovered with novel stimuli and training paradigms. Although …
Learning to aggregate and personalize 3d face from in-the-wild photo collection
Non-prior face modeling aims to reconstruct 3D face only from images without shape
assumptions. While plausible facial details are predicted, the models tend to over-depend …
assumptions. While plausible facial details are predicted, the models tend to over-depend …
3D reconstruction of “in-the-wild” faces in images and videos
3D Morphable Models (3DMMs) are powerful statistical models of 3D facial shape and
texture, and are among the state-of-the-art methods for reconstructing facial shape from …
texture, and are among the state-of-the-art methods for reconstructing facial shape from …