NDLI: Facial action unit recognition using temporal templates

Content Provider	IEEE Xplore Digital Library
Author	Valstar, M. Patras, I. Pantic, M.
Copyright Year	2004
Description	Author affiliation: Dept. of Mediamatics, Delft Univ. of Technol., Netherlands (Valstar, M.; Patras, I.; Pantic, M.)
Abstract	Automatic recognition of human facial expressions is a challenging problem with many applications in human-computer interaction. Most of the existing facial expression analyzers succeed only in recognizing a few emotional facial expressions, such as anger or happiness. Instead of being another approach to automatic detection of prototypic facial expressions of emotion, this work attempts to measure a large range of facial behavior by recognizing facial action units (AUs, i.e. atomic facial signals) that produce expressions. The proposed system performs AU recognition using temporal templates as input data. Temporal templates are 2D images, constructed from image sequences, which show where and when motion in the image sequence has occurred. A two-stage learning machine, combining a k-nearest-neighbor (kNN) algorithm and a rule-based system, performs the recognition of 15 AUs occurring alone or in combination in an input face image sequence. Each rule utilized for recognition of a given AU (or a given AU combination) is based on the presence of a specific temporal template in a particular facial region, in which the presence of facial muscle activity characterizes the AU (or AU combination) in question. When trained and tested on the Cohn-Kanade face image database, the proposed method achieved an average recognition rate of 76.2%.
Starting Page	253
Ending Page	258
File Size	552210
Page Count	6
File Format	PDF
ISBN	0780385705
DOI	10.1109/ROMAN.2004.1374768
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-22
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Gold Image sequences Emotion recognition Atomic measurements Image recognition Humans Face detection Prototypes Machine learning
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Facial action recognition in face profile image sequences

Evaluation of a Case-based Facial Action Units Recognition Approach

Facial action unit recognition using temporal templates (2004)

Detecting facial actions and their temporal segments in nearly frontal-view face image sequences

Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences

Action unit reconstruction of occluded facial expression

Facial action unit detection: 3D versus 2D modality

Recognizing lower face action units for facial expression analysis

Case-based reasoning for user-profiled recognition of emotions from face images

Facial action unit recognition using temporal templates

Similar Documents

Facial action recognition in face profile image sequences

Evaluation of a Case-based Facial Action Units Recognition Approach

Facial action unit recognition using temporal templates (2004)

Detecting facial actions and their temporal segments in nearly frontal-view face image sequences

Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences

Action unit reconstruction of occluded facial expression

Facial action unit detection: 3D versus 2D modality

Recognizing lower face action units for facial expression analysis

Case-based reasoning for user-profiled recognition of emotions from face images

Facial action unit recognition using temporal templates