Face feature point detection device and program

Abstract

Detecting with good precision an eye inside corner position and an eye outside corner position as face feature points even when the eye inside corner and/or the eye outside corner portions are obscured by noise. First eyelid profile modeling is performed with a Bezier curve expressed by a fixed control point Pindicating an eye inside corner first position detected in an image, a fixed control point Pindicating an eye outside corner first position, a control point Pcorresponding to an upper eyelid position candidate (first parameter), and a control point Pcorresponding to a lower eyelid position candidate (second parameter). Then in a second eyelid profile model with fixed Pand Pof the first eyelid profile model having the highest fitting evaluation value λ to the eyelid profile in the image, the values of a control point Pindicating an eye inside corner position candidate (third parameter) and a control point Pindicating an eye outside corner candidate (fourth parameter) at a maximum of a fitting evaluation value λ when changing the values of the control point Pand control point Pare determined as an eye inside corner second position and an eye outside corner second position, respectively.