Face Space Representation
Face Space Representation is a theoretical construct in person perception that models individual faces as multidimensional vectors within a psychological space, where similarity relations among faces are geometrically represented to explain perceptual discrimination and recognition processes.
247
Publications
61.9K
Citations
604
Authors
257
Institutions
Publications per year
2017–2026
41
Parents
247
Matthew Turk, Alex Pentland · Journal of Cognitive Neuroscience · 1991 · 13.8K citations · Full text
FaceNet: A unified embedding for face recognition and clustering
2015 · 11.2K citations · Full text
A morphable model for the synthesis of 3D faces
Volker Blanz, Thomas Vetter · 1999 · 4.8K citations · Full text
Face recognition using Laplacianfaces
Xiaofei He, Shuicheng Yan, Yuxiao Hu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2005 · 3.3K citations
1–5 of 247
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257

The University of Western Australia
Perth, Australia
12 h-index
30 publications
1.9K citations

Australian National University
Canberra, Australia
11 h-index
34 publications
2.8K citations
University College London
London, United Kingdom
7 h-index
12 publications
396 citations
ARC Centre of Excellence in Cognition and its Disorders
Sydney, Australia
7 h-index
14 publications
728 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
11 publications
355 citations
Max Planck Institute for Biological Cybernetics
Tübingen, Germany
6 h-index
8 publications
9.9K citations
The University of Texas at Dallas
Richardson, United States
6 h-index
16 publications
1.1K citations

Peking University
Beijing, China
6 h-index
9 publications
4.3K citations
1–8 of 257
11 publications · 467 citations
10
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10 publications · 555 citations
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7 publications · 283 citations
7
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6 publications · 897 citations
6
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6 publications · 343 citations
6
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1–5