skip to content
Machine learning for face, emotion, and pain recognition Preview this item
ClosePreview this item
Checking...

Machine learning for face, emotion, and pain recognition

Author: Gholamreza AnbarjafariJelena GorbovaRain Eric HammerPejman RastiFatemeh NorooziAll authors
Publisher: Bellingham, Washington : SPIE Press, [2018]
Series: SPIE spotlight series
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This Spotlight explains how to build an automated system for face, emotion, and pain recognition. These steps include pre-processing, face detection and segmentation, feature extraction, and finally and most importantly, recognition to classify features and show the accuracy of the system. State-of-the-art algorithms are used to describe all possible solutions of each step. Pre-processing involves algorithms to  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Gholamreza Anbarjafari; Jelena Gorbova; Rain Eric Hammer; Pejman Rasti; Fatemeh Noroozi; Society of Photo-optical Instrumentation Engineers,
ISBN: 9781510619869 1510619860 9781510619876 1510619879 9781510619883 1510619887
OCLC Number: 1035460960
Description: 1 online resource.
Contents: 1. Introduction --
2. Face recognition: 2.1. Introduction; 2.3. PDF-based face recognition; 2.4. Data fusion --
3. Emotion recognition: 3.1. Speech-based emotion recognition; 3.2. Other modalities; 3.3. Gesture-based emotion recognition; 3.4. Face-expression recognition --
4. Pain recognition --
5. Face databases: 5.1. Elicitation methods; 5.2. Categories of emotion; 5.3. Database types; 5.4. Pain databases --
Acknowledgments --
References.
Series Title: SPIE spotlight series
Responsibility: by Gholamreza Anbarjafari, Jelena Gorbova, Rain Eric Hammer, Pejman Rasti, and Fatemeh Noroozi.

Abstract:

This Spotlight explains how to build an automated system for face, emotion, and pain recognition. These steps include pre-processing, face detection and segmentation, feature extraction, and finally and most importantly, recognition to classify features and show the accuracy of the system. State-of-the-art algorithms are used to describe all possible solutions of each step. Pre-processing involves algorithms to reduce noise and improve the illumination of images. For face detection and segmentation, several approaches are described to detect a face in images: Viola-Jones, color-based approaches, histogram-based approaches, and morphological operation. Local binary patterns, edge detectors, wavelets, discrete Cosine transformation, Gabor filters, and fuzzified features are used for feature extraction. The last step includes three approaches for recognition: classification techniques (with a special focus on deep learning), statistical modeling, and distance/similarity measures.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/1035460960> # Machine learning for face, emotion, and pain recognition
    a schema:CreativeWork, schema:Book, schema:MediaObject ;
    library:oclcnum "1035460960" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/wau> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/5361302336#Topic/emotion_recognition> ; # Emotion recognition
    schema:about <http://dewey.info/class/006.4/e23/> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/5361302336#Topic/human_face_recognition_computer_science> ; # Human face recognition (Computer science)
    schema:about <http://experiment.worldcat.org/entity/work/data/5361302336#Topic/computers_general> ; # COMPUTERS / General
    schema:author <http://experiment.worldcat.org/entity/work/data/5361302336#Person/rasti_pejman> ; # Pejman Rasti
    schema:author <http://experiment.worldcat.org/entity/work/data/5361302336#Person/anbarjafari_gholamreza> ; # Gholamreza Anbarjafari
    schema:author <http://experiment.worldcat.org/entity/work/data/5361302336#Person/hammer_rain_eric> ; # Rain Eric Hammer
    schema:author <http://experiment.worldcat.org/entity/work/data/5361302336#Person/gorbova_jelena> ; # Jelena Gorbova
    schema:author <http://experiment.worldcat.org/entity/work/data/5361302336#Person/noroozi_fatemeh> ; # Fatemeh Noroozi
    schema:bookFormat schema:EBook ;
    schema:contributor <http://experiment.worldcat.org/entity/work/data/5361302336#Organization/society_of_photo_optical_instrumentation_engineers> ; # Society of Photo-optical Instrumentation Engineers,
    schema:datePublished "2018" ;
    schema:description "1. Introduction -- 2. Face recognition: 2.1. Introduction; 2.3. PDF-based face recognition; 2.4. Data fusion -- 3. Emotion recognition: 3.1. Speech-based emotion recognition; 3.2. Other modalities; 3.3. Gesture-based emotion recognition; 3.4. Face-expression recognition -- 4. Pain recognition -- 5. Face databases: 5.1. Elicitation methods; 5.2. Categories of emotion; 5.3. Database types; 5.4. Pain databases -- Acknowledgments -- References."@en ;
    schema:description "This Spotlight explains how to build an automated system for face, emotion, and pain recognition. These steps include pre-processing, face detection and segmentation, feature extraction, and finally and most importantly, recognition to classify features and show the accuracy of the system. State-of-the-art algorithms are used to describe all possible solutions of each step. Pre-processing involves algorithms to reduce noise and improve the illumination of images. For face detection and segmentation, several approaches are described to detect a face in images: Viola-Jones, color-based approaches, histogram-based approaches, and morphological operation. Local binary patterns, edge detectors, wavelets, discrete Cosine transformation, Gabor filters, and fuzzified features are used for feature extraction. The last step includes three approaches for recognition: classification techniques (with a special focus on deep learning), statistical modeling, and distance/similarity measures."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/5361302336> ;
    schema:genre "Electronic books"@en ;
    schema:inLanguage "en" ;
    schema:isPartOf <http://experiment.worldcat.org/entity/work/data/5361302336#Series/spie_spotlight_series> ; # SPIE spotlight series
    schema:name "Machine learning for face, emotion, and pain recognition"@en ;
    schema:productID "1035460960" ;
    schema:url <https://doi.org/10.1117/3.2322572> ;
    schema:url <http://0-doi.org.pugwash.lib.warwick.ac.uk/10.1117/3.2322572> ;
    schema:url <http://proxy.library.carleton.ca/login?url=https://doi.org/10.1117/3.2322572> ;
    schema:url <http://liverpool.idm.oclc.org/login?url=http://dx.doi.org/10.1117/3.2322572> ;
    schema:url <http://ezaccess.libraries.psu.edu/login?url=http://dx.doi.org/10.1117/3.2322572> ;
    schema:url <http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1854596> ;
    schema:url <http://uproxy.library.dc-uoit.ca/login?url=http://dx.doi.org/10.1117/3.2322572> ;
    schema:url <http://dx.doi.org/10.1117/3.2322572> ;
    schema:workExample <http://worldcat.org/isbn/9781510619883> ;
    schema:workExample <http://worldcat.org/isbn/9781510619876> ;
    schema:workExample <http://worldcat.org/isbn/9781510619869> ;
    schema:workExample <http://dx.doi.org/10.1117/3.2322572> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/1035460960> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/5361302336#Organization/society_of_photo_optical_instrumentation_engineers> # Society of Photo-optical Instrumentation Engineers,
    a schema:Organization ;
    schema:name "Society of Photo-optical Instrumentation Engineers," ;
    .

<http://experiment.worldcat.org/entity/work/data/5361302336#Person/anbarjafari_gholamreza> # Gholamreza Anbarjafari
    a schema:Person ;
    schema:familyName "Anbarjafari" ;
    schema:givenName "Gholamreza" ;
    schema:name "Gholamreza Anbarjafari" ;
    .

<http://experiment.worldcat.org/entity/work/data/5361302336#Person/gorbova_jelena> # Jelena Gorbova
    a schema:Person ;
    schema:familyName "Gorbova" ;
    schema:givenName "Jelena" ;
    schema:name "Jelena Gorbova" ;
    .

<http://experiment.worldcat.org/entity/work/data/5361302336#Person/hammer_rain_eric> # Rain Eric Hammer
    a schema:Person ;
    schema:familyName "Hammer" ;
    schema:givenName "Rain Eric" ;
    schema:name "Rain Eric Hammer" ;
    .

<http://experiment.worldcat.org/entity/work/data/5361302336#Person/noroozi_fatemeh> # Fatemeh Noroozi
    a schema:Person ;
    schema:familyName "Noroozi" ;
    schema:givenName "Fatemeh" ;
    schema:name "Fatemeh Noroozi" ;
    .

<http://experiment.worldcat.org/entity/work/data/5361302336#Person/rasti_pejman> # Pejman Rasti
    a schema:Person ;
    schema:familyName "Rasti" ;
    schema:givenName "Pejman" ;
    schema:name "Pejman Rasti" ;
    .

<http://experiment.worldcat.org/entity/work/data/5361302336#Series/spie_spotlight_series> # SPIE spotlight series
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/1035460960> ; # Machine learning for face, emotion, and pain recognition
    schema:name "SPIE spotlight series" ;
    .

<http://experiment.worldcat.org/entity/work/data/5361302336#Topic/computers_general> # COMPUTERS / General
    a schema:Intangible ;
    schema:name "COMPUTERS / General"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/5361302336#Topic/emotion_recognition> # Emotion recognition
    a schema:Intangible ;
    schema:name "Emotion recognition"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/5361302336#Topic/human_face_recognition_computer_science> # Human face recognition (Computer science)
    a schema:Intangible ;
    schema:name "Human face recognition (Computer science)"@en ;
    .

<http://uproxy.library.dc-uoit.ca/login?url=http://dx.doi.org/10.1117/3.2322572>
    rdfs:comment "eBook available for UOIT via SPIE. Click link to access" ;
    .

<http://worldcat.org/isbn/9781510619869>
    a schema:ProductModel ;
    schema:isbn "1510619860" ;
    schema:isbn "9781510619869" ;
    .

<http://worldcat.org/isbn/9781510619876>
    a schema:ProductModel ;
    schema:isbn "1510619879" ;
    schema:isbn "9781510619876" ;
    .

<http://worldcat.org/isbn/9781510619883>
    a schema:ProductModel ;
    schema:isbn "1510619887" ;
    schema:isbn "9781510619883" ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.