Boosting encoded dynamic features for facial expression recognition
Pattern Recognition Letters
Similarity Features for Facial Event Analysis
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Facial expression recognition based on Local Binary Patterns: A comprehensive study
Image and Vision Computing
Boosted multi-resolution spatiotemporal descriptors for facial expression recognition
Pattern Recognition Letters
Color face recognition for degraded face images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Tracking of facial features to support human-robot interaction
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Facial-component-based bag of words and PHOG descriptor for facial expression recognition
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Hidden conditional ordinal random fields for sequence classification
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Structured output ordinal regression for dynamic facial emotion intensity prediction
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Dynamic soft encoded patterns for facial event analysis
Computer Vision and Image Understanding
Appearance manifold of facial expression
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
Facial expression recognition based on local binary patterns and local fisher discriminant analysis
WSEAS Transactions on Signal Processing
Kinect-based visual communication system
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Spatiotemporal features for effective facial expression recognition
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
Boosting with side information
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Framework for reliable, real-time facial expression recognition for low resolution images
Pattern Recognition Letters
A review of motion analysis methods for human Nonverbal Communication Computing
Image and Vision Computing
Conditional ordinal random fields for structured ordinal-valued label prediction
Data Mining and Knowledge Discovery
Dynamic facial expression analysis based on extended spatio-temporal histogram of oriented gradients
International Journal of Biometrics
| Hi-index | 0.00 |
Most automatic facial expression analysis (AFEA) systems attempt to recognize facial expressions from data collected in a highly controlled environment with very high resolution frontal faces ( face regions greater than 200 x 200 pixels).However, in real environments, the face image is often in lower resolution and with head motion. It is unclear that the performance of AFEA systems for low resolution face images. The general approach to AFEA consists of 3 steps: face acquisition, facial feature extraction, and facial expression recognition. This paper explores the effects of different image resolutions for each step of facial expression analysis. The different approaches are compared for face detection, face data extraction and expression recognition. A total of five different resolutions of the head region are studied (288x384, 144x192, 72x96, 36x48, and 18Xx24) based on a widely used public database. The lower resolution images are down-sampled from the originals.