Multiple Constraints to Compute Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Affective computing
Automatic Analysis of Facial Expressions: The State of the Art
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiclassifier Systems: Back to the Future
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Towards unconstrained face recognition from image sequences
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Comprehensive Database for Facial Expression Analysis
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Support Vector Regression and Classification Based Multi-View Face Detection and Recognition
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Joint processing of audio-visual information for the recognition of emotional expressions in human-computer interaction
Computer Vision and Image Understanding - Special issue on Face recognition
Facial expression recognition from video sequences: temporal and static modeling
Computer Vision and Image Understanding - Special issue on Face recognition
Probabilistic recognition of human faces from video
Computer Vision and Image Understanding - Special issue on Face recognition
Sequence Recognition with Scanning N-Tuple Ensembles
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Analysis of emotion recognition using facial expressions, speech and multimodal information
Proceedings of the 6th international conference on Multimodal interfaces
Face Recognition from Face Motion Manifolds using Robust Kernel Resistor-Average Distance
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 5 - Volume 05
Emotion Recognition Based on Joint Visual and Audio Cues
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech
Affect and Emotion in Human-Computer Interaction
Dynamic face recognition: From human to machine vision
Image and Vision Computing
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evidence Theory-Based Multimodal Emotion Recognition
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Automatic temporal segment detection and affect recognition from face and body display
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Emotion recognition using facial expressions with active appearance models
HCI '08 Proceedings of the Third IASTED International Conference on Human Computer Interaction
Video-based face recognition using adaptive hidden markov models
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Visual tracking and recognition using appearance-adaptive models in particle filters
IEEE Transactions on Image Processing
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Face recognition is the most natural mean of recognition by humans. At the same time, images (and videos) of human faces can be captured without the user's awareness. The entertainment media and science fiction has greatly contributed in shaping the public view of these technologies, most of the times exaggerating the potential impact in one's privacy. Even though face images can be acquired, in any place, with hidden cameras it is also true that face recognition technology is not dangerous per se. Rather, whenever properly deployed, it can result for the protection of the citizens and also enhance the user convenience. Face recognition today has achieved a quite high performance rate and most of the problems hindering the use of this technology have now been solved. Faces can be analyzed and characterized on the basis of several features. Then, a face can be tagged with several properties, not only the bearer's identity, but also his gender, approximate age and possible familiarity with others. Moreover, the analysis of the facial expression may also lead to understanding the mood, maybe the emotional state and intentions of the analyzed subject. May this lead to a ”Big Brother scenario”? Is this technology going to hinder a person's freedom or privacy? These questions are still to be answered and mostly depend on tomorrow's good use of this emerging technology. As for today, many scenarios can be envisaged where face recognition technologies can be fruitfully applied. Among them, the border control at airports and other ports of entry are just the most addressed in the recent past. Other applications still exist which have been overlooked and are yet worth a more extensive study and deployment from both the Academia and Industry.