The BGR-PROJECT, or Background Removal Benchmark, is accepting software implementations and device-based solutions.
Background removal separates a person from the surroundings in a photograph so the subject can be recomposited onto a uniform background.
Background removal provides a way to separate the person from the original scene before placing the subject against the required background.
BSI identifies halos around the subject, clipped hair and color spill from the original background among the problems background removal algorithms need to avoid.
BSI says artifacts introduced during background removal may degrade the quality of the facial image and, consequently, the performance of downstream face recognition.