Facial Expression Analysis
By Takeo Kanade. Analysis and Modeling of Faces and Gestures, 2011
315 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/7ad59b7d31d39d320600866097ea33ef51291208
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Xiaogang Wang
- Xiaoou Tang
- Ming-Hsuan Yang
- Dacheng Tao
- Chen Change Loy
- Andrew Zisserman
- Jitendra Malik
In Experimental and Cognitive Psychology
- Jeffrey F. Cohn
- Maja Pantic
- Michel François Valstar
- Guoying Zhao
- Fernando De la Torre
- Brais Martínez
- Bihan Jiang
- Javier R. Movellan
Citations in the corpus
- Painful data: The UNBC-McMaster shoulder pain expression archive database (2011, background): “Automated facial expression detection has made great strides over the past decade [1], [2], [3].”
- Social signal processing: Survey of an emerging domain (2009, background): “Most of the proposed approaches to facial expression recognition are directed toward static, analytic, 2-D facial feature extraction [135][185].”
- Fully Automatic Facial Action Unit Detection and Temporal Analysis (2006, methodology): “For a good overview of the work done on AU and emotion detection from still images or face video the reader is referred to [9, 16 ].”
- Human computing and machine understanding of human behavior: a survey (2006, background): “A number of promising prototype systems have been proposed recently that can recognize 15 to 27 AUs (from a total of 44 AUs) in either (near-) frontal view or profile view face image sequences [79], [57].”
- Face verification across age progression (2005, background): “Yacoob and Davis [9], Essa and Pentland [10], Martinez [11], Tian et al. [ 12 ], and Liu et al. [13] have proposed approaches for identifying facial expressions from face images.”
- Toward Practical Smile Detection (2009, background): “Recent years have seen considerable progress in the field of automatic facial expression recognition (see [1], [2], [3], [4] for surveys).”
- Facial expression recognition from near-infrared videos (2011, methodology): “[33] proposed theuse of facial component shapes and the transient features like crow-feet wrinkles and nasal-labial furrows.”