Disclosed is a technology with which face direction estimation processing and face detection processing can be learned simultaneously and with high precision without incurring significant costs. The image processing learning device comprises: a face direction identification unit that identifies whether a face direction is already known; a position conversion unit that converts information regarding the face direction to a position on a manifold, when already known; a position estimation unit that estimates the position on the manifold, when unknown; a face identification unit that identifies whether an object is already known to be a face/not a face; a first update quantity calculation unit that calculates the update quantity according to whether the object is a face/not a face from the distance between the position on the manifold and the position in space, when already known; a second update quantity calculation unit that calculates the update quantity so as to be closer when the distance between the position on the manifold and the position in space is close, and further when far, when unknown; and a parameter update unit that updates parameters.
IMAGE PROCESSING LEARNING DEVICE, IMAGE PROCESSING LEARNING METHOD, AND IMAGE PROCESSING LEARNING PROGRAM