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Issue No. 12 - Dec. (2016 vol. 38)
ISSN: 0162-8828
pp: 2444-2456
Hugo Proenca , IT: Instituto de Telecomunicações, Department of Computer Science, University of Beira Interior, Covilhã, Portugal
Joao C. Neves , IT: Instituto de Telecomunicações, Department of Computer Science, University of Beira Interior, Covilhã, Portugal
Silvio Barra , Università degli Studi di Cagliari, Italy
Tiago Marques , IT: Instituto de Telecomunicações, Department of Computer Science, University of Beira Interior, Covilhã, Portugal
Juan C. Moreno , IT: Instituto de Telecomunicações, Department of Computer Science, University of Beira Interior, Covilhã, Portugal
ABSTRACT
Soft biometrics have been emerging to complement other traits and are particularly useful for poor quality data. In this paper, we propose an efficient algorithm to estimate human head poses and to infer soft biometric labels based on the 3D morphology of the human head. Starting by considering a set of pose hypotheses, we use a learning set of head shapes synthesized from anthropometric surveys to derive a set of 3D head centroids that constitutes a metric space. Next, representing queries by sets of 2D head landmarks, we use projective geometry techniques to rank efficiently the joint 3D head centroids/pose hypotheses according to their likelihood of matching each query. The rationale is that the most likely hypotheses are sufficiently close to the query, so a good solution can be found by convex energy minimization techniques. Once a solution has been found, the 3D head centroid and the query are assumed to have similar morphology, yielding the soft label. Our experiments point toward the usefulness of the proposed solution, which can improve the effectiveness of face recognizers and can also be used as a privacy-preserving solution for biometric recognition in public environments.
INDEX TERMS
Magnetic heads, Three-dimensional displays, Biometrics (access control), Shape, Face, Hidden Markov models
CITATION

H. Proenca, J. C. Neves, S. Barra, T. Marques and J. C. Moreno, "Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 38, no. 12, pp. 2444-2456, 2016.
doi:10.1109/TPAMI.2016.2522441
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