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Learning Person-Specific Face Representations

Grant number: 10/00994-8
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): May 01, 2010
Effective date (End): July 31, 2013
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal researcher:Alexandre Xavier Falcão
Grantee:Giovani Chiachia
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Humans are natural face recognition experts, far outperforming current automated face recognition algorithms, especially in naturalistic, ``in-the-wild'' settings. However, a striking feature of human face recognition is that we are dramatically better at recognizing highly familiar faces, presumably because we can leverage large amounts of past experience with the appearance of an individual to aid future recognition. Researchers in psychology have even suggested that face representations might be partially tailored or optimized for familiar faces. Meanwhile, the analogous situation in automated face recognition, where a large number of training examples of an individual are available, has been largely underexplored, in spite of the increasing relevance of this setting in the age of social media. Inspired by these observations, we propose to explicitly learn enhanced face representations on a per-individual basis, and we present a collection of methods enabling this approach and progressively justifying our claim. By learning and operating within person-specific representations of faces, we are able to consistently improve performance on both the constrained and the unconstrained face recognition scenarios. In particular, we achieve state-of-the-art performance on the challenging PubFig83 familiar face recognition benchmark. We suggest that such person-specific representations introduce an intermediate form of regularization to the problem, allowing the classifiers to generalize better through the use of fewer --- but more relevant --- face features.

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
RUPPERT, GUILHERME C. S.; CHIACHIA, GIOVANI; BERGO, FELIPE P. G.; FAVRETTO, FERNANDA O.; YASUDA, CLARISSA L.; ROCHA, ANDERSON; FALCAO, ALEXANDRE X. Medical image registration based on watershed transform from greyscale marker and multi-scale parameter search. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION, v. 5, n. 2, p. 138-156, 2017. Web of Science Citations: 1.
CHIACHIA, GIOVANI; FALCAO, ALEXANDRE X.; PINTO, NICOLAS; ROCHA, ANDERSON; COX, DAVID. Learning Person-Specific Representations From Faces in the Wild. IEEE Transactions on Information Forensics and Security, v. 9, n. 12, p. 2089-2099, DEC 2014. Web of Science Citations: 19.
RAMOS, CAIO C. O.; SOUZA, ANDRE N.; CHIACHIA, GIOVANI; FALCAO, ALEXANDRE X.; PAPA, JOAO P. A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection. COMPUTERS & ELECTRICAL ENGINEERING, v. 37, n. 6, p. 886-894, NOV 2011. Web of Science Citations: 47.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
CHIACHIA, Giovani. Aprendendo representações específicas para a face de cada pessoa. 2013. Doctoral Thesis - Universidade Estadual de Campinas (UNICAMP). Instituto de Computação.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.