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Cited by 246Face recognition and analysisFace and Expression RecognitionFace Recognition and Perception

An analytic-to-holistic approach for face recognition based on a single frontal view

Kin-Man Lam, Hong Yan·1998·IEEE Transactions on Pattern Analysis and Machine Intelligence
DOI 10.1109/34.689299
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Abstract

We propose an analytic-to-holistic approach which can identify faces at different perspective variations. The database for the test consists of 40 frontal-view faces. The first step is to locate 15 feature points on a face. A head model is proposed, and the rotation of the face can be estimated using geometrical measurements. The positions of the feature points are adjusted so that their corresponding positions for the frontal view are approximated. These feature points are then compared with the feature points of the faces in a database using a similarity transform. In the second step, we set up windows for the eyes, nose, and mouth. These feature windows are compared with those in the database by correlation. Results show that this approach can achieve a similar level of performance from different viewing directions of a face. Under different perspective variations, the overall recognition rates are over 84 percent and 96 percent for the first and the first three likely matched faces, respectively.

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  • Recently, the problem of automatic face detection in an arbitrary scene has drawn great attention.

    “Recently, the problem of automatic face detection in an arbitrary scene has drawn great attention (e.g., see [74], [83], [85]).”

    From Automatic analysis of facial expressions: the state of the art (2000) · cites this paper as [74]

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Related

Authors
Lam, K.-M., & Yan, H.
Affiliations
  • Hong Kong Polytechnic University (HK)
  • The University of Sydney (AU)
ORCID
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
1998-07
Volume
20
Issue
7
Pages
673-686
ISSN
0162-8828 (ISSN-L)
DOI
10.1109/34.689299
OpenAlex
W2106418974
Cited by
246
References
28
Citations by year
2025: 1 · 2023: 2 · 2022: 3 · 2021: 2 · 2020: 3 · 2019: 4 · 2018: 1 · 2017: 5 · 2016: 3 · 2015: 8 · 2014: 8 · 2013: 17 · 2012: 13
FWCI
15.12
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
IEEE Transactions on Pattern Analysis and Machine Intelligence (publishedVersion)
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
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
Keywords
face recognition, viewpoint variation, feature point localization, human head model, similarity transformation, correlation matching

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