Cited by 138Face recognition and analysisFace and Expression RecognitionEmotion and Mood Recognition

3D facial expression recognition using SIFT descriptors of automatically detected keypoints

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Berretti, Stefano, Ben Amor, Boulbaba, Daoudi, Mohamed, del Bimbo, Alberto·2011·The Visual Computer

Integrity signals

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Crossref · 10.1007/s00371-011-0611-x

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42 of 42 references verified0 citation errors · 0 not checkable

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Authors
Berretti, S., Ben Amor, B., Daoudi, M., & del Bimbo, A.
Affiliations
  • University of Florence (IT)
  • Laboratoire d'Informatique Fondamentale de Lille (FR)
Corresponding author
Berretti, Stefano
Venue
The Visual Computer
Published
2011-06-30
Volume
27
Issue
11
Pages
1021-1036
ISSN
  • 0178-2789 (ISSN-L)
  • 1432-2315
OpenAlex
W2162280462
Cited by
138
References
42
Citations by year
2026: 2 · 2025: 6 · 2024: 1 · 2023: 5 · 2022: 6 · 2021: 13 · 2020: 21 · 2019: 16 · 2018: 13 · 2017: 11 · 2016: 13 · 2015: 10 · 2014: 11 · 2013: 6 · 2012: 4
FWCI
7.23
Type
journal article
Language
en
Open access
Locations
  • The Visual Computer (publishedVersion)
  • HAL (submittedVersion, other-oa)
  • Florence Research (University of Florence) (submittedVersion)
  • LillOA (Université de Lille (University Of Lille)) (submittedVersion, other-oa)
Funders
Agence Nationale de la Recherche (ANR-07-SESU-0004)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
Keywords
facial expression recognition, 3D facial expression recognition, SIFT descriptors, depth images, 3D face shape, user-independent recognition, feature selection, support vector machine, multi-class classifier, BU-3DFE

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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