Computer Vision News Computer Vision News 16 identification of kids. The existence of such methods should also be a serious discouragement for criminals abducting babies from hospitals. Did Rasel and the team have a thought at why his work won the Best Paper award? He things that the paper impressed because “we actually collected the data, and designed a complete system with a sensor, image segmentation model and encoding routines, which as the whole perform pretty well.” They are offering the segmentation model as open-source solution, together with synthetic dataset, so that other researchers can work on this topic. Adam Czajka, Rasel’s advisor, told us that he was particularly proud of this work because of its interdisciplinary character, and a need for navigating in completely unknown research terrain. Adam is also happy that despite the fact that previous studies were suggesting rather low performance of iris recognition applied to newborns, that was not discouraging for Rasel, whose motivation and persistence allowed for an impactful work, appreciated by the community. What’s next for Rasel? The plan is to use data from babies of 4-6 weeks and gather additional data from the same babies after one year and after two years, so that a longitudinal study might prove iris recognition’s stability over time for accurate identification. SMALL Workshop Best Paper Rasel receiving his award from Sarah Ostadabbas together with supervisor Adam Czajka
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