Book ChapterDOI
Bosphorus Database for 3D Face Analysis
Arman Savran,Nese Alyuz,Hamdi Dibeklioglu,Oya Celiktutan,Berk Gökberk,Bulent Sankur,Lale Akarun +6 more
- pp 47-56
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TLDR
A new 3D face database that includes a rich set of expressions, systematic variation of poses and different types of occlusions is presented, which can be a very valuable resource for development and evaluation of algorithms on face recognition under adverse conditions and facial expression analysis as well as for facial expression synthesis.Abstract:
A new 3D face database that includes a rich set of expressions, systematic variation of poses and different types of occlusions is presented in this paper. This database is unique from three aspects: i) the facial expressions are composed of judiciously selected subset of Action Units as well as the six basic emotions, and many actors/actresses are incorporated to obtain more realistic expression data; ii) a rich set of head pose variations are available; and iii) different types of face occlusions are included. Hence, this new database can be a very valuable resource for development and evaluation of algorithms on face recognition under adverse conditions and facial expression analysis as well as for facial expression synthesis.read more
Citations
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Proceedings ArticleDOI
OpenFace 2.0: Facial Behavior Analysis Toolkit
TL;DR: OpenFace 2.0 is an extension of OpenFace toolkit and is capable of more accurate facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
Journal ArticleDOI
Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition
TL;DR: This paper provides a comprehensive analysis of facial representations by uncovering their advantages and limitations, and elaborate on the type of information they encode and how they deal with the key challenges of illumination variations, registration errors, head-pose variations, occlusions, and identity bias.
Journal ArticleDOI
BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database
Xing Zhang,Lijun Yin,Jeffrey F. Cohn,Shaun Canavan,Michael Reale,Andy Horowitz,Peng Liu,Jeffrey M. Girard +7 more
TL;DR: Becauseposedandun-posed(aka "spontaneous") facialexpressionsdifferalong severaldimensions includingcomplexity andtiming, well-annotated video of un-posedfacialbehavior is needed.
Journal ArticleDOI
Facial Expression Analysis under Partial Occlusion: A Survey
TL;DR: A comprehensive review of recent advances in dataset creation, algorithm development, and investigations of the effects of occlusion critical for robust performance in FEA systems is presented in this paper.
Book ChapterDOI
Generating 3D Faces using Convolutional Mesh Autoencoders
TL;DR: In this article, spectral convolutions on a mesh surface are used to learn a non-linear representation of a face using mesh sampling operations that enable a hierarchical mesh representation that captures nonlinear variations in shape and expression at multiple scales within the model.
References
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Journal ArticleDOI
Constants across cultures in the face and emotion
Paul Ekman,Wallace V. Friesen +1 more
TL;DR: Evidence is provided that members of a preliterate culture who had minimal exposure to literate cultures would associate the same emotion concepts with the same facial behaviors as do members of Western and Eastern literates.
Facial action coding system: a technique for the measurement of facial movement
Paul Ekman,Wallace V. Friesen +1 more
Proceedings ArticleDOI
Overview of the face recognition grand challenge
P.J. Phillips,Patrick J. Flynn,T. Scruggs,Kevin W. Bowyer,Jin Chang,K. Hoffman,J. Marques,Jaesik Min,William J. Worek +8 more
TL;DR: The face recognition grand challenge (FRGC) is designed to achieve this performance goal by presenting to researchers a six-experiment challenge problem along with data corpus of 50,000 images.
A 3D Facial Expression Database For Facial Behavior Research.
TL;DR: This is the first attempt at making a 3D facial expression database available for the research community, with the ultimate goal of fostering the research on affective computing and increasing the general understanding of facial behavior and the fine 3D structure inherent in human facial expressions.
Proceedings ArticleDOI
A 3D facial expression database for facial behavior research
TL;DR: In this article, a 3D facial expression database is presented, which includes 2D facial textures from 100 subjects and 3D models from 2,500 models from 100 individuals. But the database is limited to 3D range data and cannot handle large pose variations.