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Exploring inconsistencies on illumination and details generation for exposing computer generated images containing people

Grant number: 16/13011-9
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Effective date (Start): August 01, 2016
Effective date (End): July 31, 2017
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:Tiago Jose de Carvalho
Grantee:Matheus Teles de Paiva Alves
Host Institution: Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP). Campus Campinas. Campinas , SP, Brazil


Computer Graphics methods for creation of digital games and special effects have been strongly improved in the last years, making possible generate images so realistic that are able to deceive even the most skilled viewers. Trying to help experts that, many times, needs to be able to distinguish between computer generated and real images, this research project propose to investigate inconsistencies presents in different kinds of telltales, in a way to make possible detect, as automatically as possible, each one of these aforementioned groups of images. Exploring illumination inconsistencies and imperfections present in regions as eyes and hair to propose discriminative features, this project intend to use machine learning methods to discern computer generated from real images.

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