Evaluation of the impact of Single Image SuperResolution

Evaluation of the impact of Single Image Super-Resolution techniques on Face Recognition tasks Antônio Luís Sombra de Medeiros 05/2019

Research Question • Can Face Recognition tasks be improved using Super-Resolution tehcniques? • What are the impacts of different Super. Resolution techniques on the performance of face recognition tasks?

Face Recognition • Face recognition is of great importance in many computer vision applications, such as human-computer interactions, Security systems, Military and Homeland Security. • • • Payment Access security Criminal identification Advertising Healthcare

Problem • face recognition systems mostly work with imagesvideos of proper quality and resolution. • In videos recorded by surveillance camera, due to the distance between people and cameras, people are pictured very small and hence challenge face recognition algorithms.

Super-Resolution • Improves human interpretation • The application of SR techniques covers a wide range of purposes such as Surveillance video, Remote sensing, Medical imaging (CT, MRI, Ultrasound).

Schedule • 1 st and 2 nd weeks: Literature survey + theory on Face Recognition and Super-Resolution + definition of datasets and techniques to be explored. • 3 rd and 4 th weeks: Implementation and evaluation of experiements. • 5 th and 6 th weeks: Results discussion and development of the final report

THANKS!