A three-dimensional extraction method of human face wrinkles shown in
point cloud data includes the steps of simulating a
generation process of human face wrinkles, setting a wrinkled area as the superposition of a smooth human face curved surface with sunken
wrinkle textures, setting human face wrinkles shown in
point cloud data as an object of study, remaking the smooth human face area with a computer, fitting the smooth human face area through a triplet spline curved
surface fitting method, constraining triplet spline curved
surface fitting, setting a smooth human face fitting process as a solving process of a regular problem, performing iterative solution through a Laplace regularization method to obtain a preliminary result epsilon 0 of human face
wrinkle extraction, projecting the human face
wrinkle extraction to an X-Y plane, performing binarization and 8 neighborhood communication region calculation on a
projection image, setting a communication region 30% smaller than the largest communication region as
noise, and removing points corresponding to the
noise from the epsilon 0 to obtain a final three-dimensional extraction result of the human face wrinkles.