Abstract: Devices, methods, and non-transitory program storage devices are disclosed to: obtain an input image; identify a first face in the input image; divide the first face into a plurality of regions; identify obstructions in one or more of the plurality of regions; select a subset of regions, based on the identified obstructions; and determine a white point for the first face based, at least in part, on the selected subset of regions. In some embodiments, obstructions may be identified using a face obstruction detection model (e.g., a logistic regression model trained based on a large dataset of annotated facial images with and without obstructions). The identified obstructions may comprise, e.g., facial hair, head hair, glasses, a facial covering, a head covering, a face mask, or clothing. In some embodiments, a white balancing operation may be performed on the input image based, at least in part, on the determined white point.