UNICAMP News Showcases RECOD Research on Image Forgery

Campuswide UNICAMP News showcased RECOD Research in detecting image forgery. In particular, the piece spotlights the work of RECOD Ph.D. student Tiago Carvalho, who is supervised by Profs. Anderson Rocha and Helio Pedrini. Tiago’s work is able to detect fakery with more than 85% accuracy, by analyzing if the photo is coherent — for example, if skin volumes react the same way to illumination angles, or if the sparkle of light reflected in peoples’ eyes is consistent.

The piece also mentions the much-publicized work of Profs. Siome Goldenstein and Anderson Rocha on dismissing as forgery documents that suggested President Dilma Rousseff (candidate at the time) had participated in several criminal and terrorist activities during the Brazilian military government of 1964–85.

Update 9/oct: The work has attracted national TV attention ! Take a look: BandNews: UNICAMP Creates Software to Detect Fake Images (in Portuguese).

Update 14/oct: The work has now been featured one of the main online Brazilian news portals ! Check it out: G1: Software created at UNICAMP detect fake images in seconds (in Portuguese).

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About eduardovalle

Professor at FEEC/UNICAMP, Brazil. Researcher on Machine Learning/Computer Vision, with emphasis on Health & Education applications.
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