Facial Expression Recognition

Maja Pantic

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Abstract

Facial expression recognition is a process performed by humans or computers, which consists of: 1. Locating faces in the scene (e.g., in an image; this step is also referred to as face detection), 2. Extracting facial features from the detected face region (e.g., detecting the shape of facial components or describing the texture of the skin in a facial area; this step is referred to as facial feature extraction), 3. Analyzing the motion of facial features and/or the changes in the appearance of facial features and classifying this information into some facialexpression-interpretative categories such as facial muscle activations like smile or frown, emotion (affect) categories like happiness or anger, attitude categories like (dis)liking or ambivalence, etc. (this step is also referred to as facial expression interpretation).
Original languageUndefined
Title of host publicationEncyclopedia of biometrics
EditorsS. Li, A. Jain
Place of PublicationLondon
PublisherSpringer
Pages400-406
Number of pages7
ISBN (Print)978-0-387-73002-8
DOIs
Publication statusPublished - 20 Jul 2009

Publication series

Name
PublisherSpringer Verlag
Number6
Volume6

Keywords

  • METIS-264294
  • IR-69470
  • Facial Action Coding
  • HMI-HF: Human Factors
  • EWI-17111
  • HMI-MI: MULTIMODAL INTERACTIONS
  • Facial Expression Analysis

Cite this

Pantic, M. (2009). Facial Expression Recognition. In S. Li, & A. Jain (Eds.), Encyclopedia of biometrics (pp. 400-406). [10.1007/978-0-387-73003-5_98] London: Springer. https://doi.org/10.1007/978-0-387-73003-5_98
Pantic, Maja. / Facial Expression Recognition. Encyclopedia of biometrics. editor / S. Li ; A. Jain. London : Springer, 2009. pp. 400-406
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abstract = "Facial expression recognition is a process performed by humans or computers, which consists of: 1. Locating faces in the scene (e.g., in an image; this step is also referred to as face detection), 2. Extracting facial features from the detected face region (e.g., detecting the shape of facial components or describing the texture of the skin in a facial area; this step is referred to as facial feature extraction), 3. Analyzing the motion of facial features and/or the changes in the appearance of facial features and classifying this information into some facialexpression-interpretative categories such as facial muscle activations like smile or frown, emotion (affect) categories like happiness or anger, attitude categories like (dis)liking or ambivalence, etc. (this step is also referred to as facial expression interpretation).",
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Pantic, M 2009, Facial Expression Recognition. in S Li & A Jain (eds), Encyclopedia of biometrics., 10.1007/978-0-387-73003-5_98, Springer, London, pp. 400-406. https://doi.org/10.1007/978-0-387-73003-5_98

Facial Expression Recognition. / Pantic, Maja.

Encyclopedia of biometrics. ed. / S. Li; A. Jain. London : Springer, 2009. p. 400-406 10.1007/978-0-387-73003-5_98.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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AB - Facial expression recognition is a process performed by humans or computers, which consists of: 1. Locating faces in the scene (e.g., in an image; this step is also referred to as face detection), 2. Extracting facial features from the detected face region (e.g., detecting the shape of facial components or describing the texture of the skin in a facial area; this step is referred to as facial feature extraction), 3. Analyzing the motion of facial features and/or the changes in the appearance of facial features and classifying this information into some facialexpression-interpretative categories such as facial muscle activations like smile or frown, emotion (affect) categories like happiness or anger, attitude categories like (dis)liking or ambivalence, etc. (this step is also referred to as facial expression interpretation).

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Pantic M. Facial Expression Recognition. In Li S, Jain A, editors, Encyclopedia of biometrics. London: Springer. 2009. p. 400-406. 10.1007/978-0-387-73003-5_98 https://doi.org/10.1007/978-0-387-73003-5_98