Patent ID: 8254644
Filing Date: 2012-08-28
Classification: G06K

Abstract:
1. A facial characteristic point detecting method, comprising the steps of: detecting a face included in an image, which is a target of detection; detecting eyes within the detected face, employing detection data obtained in the face detecting step; detecting inner and outer corners of the detected eyes, employing detection data obtained in the eye detecting step; and detecting characteristic points of upper and lower eyelids that represent the outline of the eyes, employing positional data of the inner and outer corners obtained in the inner and outer corner detecting step, wherein detection of the characteristic points of the upper and lower eyelids is performed by: setting at least one eyelid reference line segment, corresponding to the characteristic points, that intersects a line segment that connects the detected inner and outer corners of a detected eye; calculating characteristic amounts of one dimensional brightness distributions for discriminating the characteristic points, which are defined for the characteristic points corresponding to one of the at least one eyelid reference line segment, with respect to each pixel of the one eyelid reference line segment; and administering an eyelid characteristic point discriminating process, in which whether each of the pixels is a pixel that represents the characteristic point is discriminated, based on the characteristic amounts of the brightness distribution; wherein the eyelid characteristic point discriminating process is administered with respect to all of the set eyelid reference line segments.