Creation of Facial Composites from User Selections using Image Gradient

Authors

  • Rubén García-Zurdo Universidad Complutense de Madrid. School of Psychology. Madrid. Spain

DOI:

https://doi.org/10.31449/inf.v44i1.2340

Abstract

Evolutionary facial composites are created using interactive genetic algorithms based on user selections. This approach is grounded in perceptive studies, and is superior to feature-based systems. A method is presented for creating facial composites in which faces are encoded with shape information, the coordinates of a predefined landmark points, and the image gradient, which represents face information more precisely than image luminance. The new method is accompanied by a Poisson integration process that presents the user with candidate faces. Two user tests, one using composite creators and the other external evaluators, show that the new method produces higher rated composites that are better recognised

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Appendix. Gradient integration by solving Poisson’s equation

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Published

2020-03-15

How to Cite

García-Zurdo, R. (2020). Creation of Facial Composites from User Selections using Image Gradient. Informatica, 44(1). https://doi.org/10.31449/inf.v44i1.2340

Issue

Vol. 44 No. 1 (2020)

Section

Regular papers

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