METHOD OF MAKING A MASK WITH CUSTOMIZED FACIAL FEATURES

• US 20150234942A1
• Filed: 02/05/2015
• Published: 08/20/2015
• Est. Priority Date: 02/14/2014
• Status: Abandoned Application

• Current Assignee: Larky & Melan, LLC
• Original Assignee: Possibility Place LLC
• Inventors: Harmon, Scott A.
• Application Number:
  US14/615,421
• Publication Number:
  US 20150234942A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 30/00 Computer-aided design [CAD]
• CPC Class Codes: G06V 20/653 by matching three-dimensional models, e.g. conformal mapping of Riemann surfaces
• CPC Class Codes: G06V 40/168 Feature extraction; Face representation
• CPC Class Codes: G06V 40/171 Local features and components; Facial parts eye characteristics G06V40/18; Occluding parts, e.g. glasses; Geometrical relationships

Abstract

A method of making a mask of a subject'"'"'s face having a shape adapted to interfit with a corresponding mask-receiving portion on a head, includes the steps of obtaining at least 3D image data of the subject'"'"'s face; computer processing the 3D image data using facial feature recognition software to identify preselected facial landmarks in the 3D image data; aligning the image represented by the 3D image data with a mask model using at least one of the identified preselected facial landmarks; projecting the perimeter of the aligned mask model on the aligned image represented by 3-D image data; trimming the image represented by the 3D image data to the projected perimeter of the aligned mask model; bending the edge portions of the image represented by the 3D image data to manage the gap between the edge perimeter of the image represented by the 3D image and the edge perimeter of the mask model; generating image data to fill the gap between the edge perimeter of the image represented by the 3D image and the edge perimeter of the mask model, and mating the image represented by the 3D image data to a mask data set.

Claims

1. A method of making a mask of a subject'"'"'s face having a shape adapted to interfit with a corresponding mask-receiving portion on a head, the method comprising:

obtaining at least 3D image data of the subject'"'"'s face;

computer processing the 3D image data using facial feature recognition software to identify preselected facial landmarks in the 3D image data;

aligning the image represented by the 3D image data with a mask model using at least one of the identified preselected facial landmarks;

projecting the perimeter of the aligned mask model on the aligned image represented by 3-D image data;

trimming the image represented by the 3D image data to the projected perimeter of the aligned mask model;

bending the edge portions of the image represented by the 3D image data to manage the gap between the edge perimeter of the image represented by the 3D image and the edge perimeter of the mask model;

generating image data to fill the gap between the edge perimeter of the image represented by the 3D image and the edge perimeter of the mask model,

and mating the image represented by the 3D image data to a mask data set.

2. The method according to claim 1 further comprising:

tone mapping at least some portions of the image associated with the 3D image data adjacent to at least some of the identified preselected facial landmarks using a restricted range of colors similar to a preselected skin tone color; and

replacing at least some other portions of the image with the preselected skin tone color.

3. The method of making a mask according to claim 1, comprising:

identifying the eyes on the image represented by the 3D image data using at least some of the identified preselected facial landmarks, and enlarging the eyes by a predetermined amount.

4. A method of making a mask according to claim 3, wherein the step of identifying the eyes includes identifying the eyebrows, and wherein the step of enlarging the eyes includes enlarging the eyebrows.

5. A method of making a mask according to claim 1 comprising:

identifying the eyes using at least some of the identified preselected facial landmarks; and

whitening the edge margins of the eyes;

6. The method of making a mask according to claim 1 further comprising identifying the center of the eyes using at least some of the identified preselected facial landmarks and coloring a ring around the center of the eyes.

7. The method of making a mask according to claim 6 wherein the step of coloring a ring around the center of each eye comprises coloring a ring with a color based upon an the existing color at a location in the image being colored.

8. The method of making a mask according to claim 6 wherein the step of coloring a ring around the center of each eye comprises selecting one of a number of predetermined colors.

9. The method of making a mask according to claim 6 wherein the step of coloring a ring around the center of each eye comprises coloring the ring with a color selected by a user.

10. The method of making a mask according to claim 1 further comprising identifying the teeth using at least some of the identified preselected facial landmarks and recoloring the teeth that are identified.

11. The method according to claim 10 wherein the teeth are recolored based in part upon a color existing in the image at the location being colored;

12. The method according to claim 10 wherein the teeth are recolored with a predetermined color.

13. The method of making a mask according to claim 10 wherein the teeth are recolored with a color selected by a user.

14. The method according to claim 1 comprising applying one of a plurality of predetermined make up patterns to the image represented by the 3D data based at least in part upon processing the 3D image data.

15. The method according to claim 1 comprising applying one of a plurality of predetermined make up patterns to the image represented by the 3D data based at least in part upon data about the subject.

16. The method according to claim 1 comprising applying one of a plurality of predetermined make up patterns to the image represented by the 3D data based at least in part upon user selection.

17. The method according to claim 1 wherein the step of mating the image represented by the 3D image data to a mask model perform comprises selecting one of a plurality of mask models preforms based upon the distance and or angles between at least two of the preselected facial landmarks.

18. The method according to claim 1 wherein the step of selecting one of a plurality of mask model preforms comprises selecting a preform based at least in part on the distances and or angles between at least two pairs of landmarks.

19. The method according to claim 1 wherein at least two of the distances are substantially perpendicular to each other.

20. The method according to claim 1 wherein the distances are scaled according to the mask model preform selected.

21. The method according to claim 19 wherein the distances are scaled differently in two perpendicular directions.