Method and apparatus for organizing and retrieving images containing human faces

• US 20030210808A1
• Filed: 05/10/2002
• Published: 11/13/2003
• Est. Priority Date: 05/10/2002
• Status: Abandoned Application

• Current Assignee: Eastman Kodak Company
• Original Assignee: Eastman Kodak Company
• Inventors: Chen, Lawrence S., Das, Madirakshi
• Application Number:
  US10/143,272
• Publication Number:
  US 20030210808A1
• Time in Patent Office: Days
• US Class Current: 382/118
• CPC Class Codes: G06V 40/16 Human faces, e.g. facial parts, sketches or expressions

Abstract

A method of organizing images of human faces in digital images into clusters, comprising the steps of: locating images of human faces in the digital images using a face detector; extracting the located human face images from the digital images; and forming clusters of the extracted human face images, each cluster representing an individual using a face recognizer.

Claims

1. A method of organizing images of human faces in digital images into clusters, comprising the steps of:

a) locating images of human faces in the digital images using a face detector;

b) extracting the located human face images from the digital images; and

c) forming clusters of the extracted human face images, each cluster representing an individual using a face recognizer.

2. The method of claim 1, wherein the step of forming clusters comprises the steps of

i) choosing an extracted human face image and forming a first cluster containing the chosen human face image;

ii) selecting an extracted human face image that is not assigned to a cluster and comparing the selected human face image to all human face images in existing clusters using the face recognition program to produce a similarity score for each comparison;

iii) assigning the selected human face image to a cluster having a face with the highest similarity score above a predetermined threshold, otherwise forming a new cluster containing the selected human face image; and

iv) repeating steps ii) and iii) until all human face images are assigned to a cluster.

3. The method of claim 1, further comprising the step of displaying the clustered face images to a user.

4. The method of claim 1, further comprising the step of reviewing and correcting the assignment of the extracted face images to the clusters.

5. The method of claim 1, further comprising the step of selecting a representative face image from each cluster and employing the representative face image to retrieve all digital images containing a face image of the individual represented by the cluster.

6. The method of claim 5, further comprising the step of associating the name of an individual with each cluster and using the name to retrieve all of the digital images containing the named individual.

7. The method of claim 1, wherein the face detector is a face detection algorithm operating in a digital computer.

8. The method of claim 1, wherein the comparing step is performed by a face recognition algorithm operating on a computer.

9. The method claimed in claim 1, further comprising the step of keeping only those clusters having the most frequently occurring faces and discarding the other clusters.

10. The method claimed in claim 9, wherein the digital images are a collection of family digital images, wherein the most frequently occurring faces are likely to be those of family and friends.

19. A computer program product for performing the method claimed in claim 1.

20. The computer program product claimed in claim 19, wherein the product is a picture CD.

11. A system for organizing images of human faces in digital images into clusters, comprising:

a) a digital image storage medium having digital images containing images of human faces;

b) a face detector for locating and extracting images of human faces in the digital images;

c) a face recognizer for forming clusters of the extracted human face images, each cluster representing an individual.

12. The system claimed in claim 11, wherein the face recognizer includes means for:

i) choosing an extracted human face image and forming a first cluster containing the chosen human face image;

ii) selecting an extracted human face image that is not assigned to a cluster and comparing the selected human face image to all human face images in existing clusters to produce a similarity score for each comparison;

iii) assigning the selected human face image to a cluster having a face with the highest similarity score above a predetermined threshold, otherwise forming a new cluster containing the selected human face image; and

iv) repeating steps ii) and iii) until all human face images are assigned to a cluster.

13. The system of claim 12, further comprising display means for displaying the clustered face images to a user.

14. The system of claim 12, further comprising a graphic user interface for reviewing and correcting the assignment of the extracted face images to the clusters.

15. The system of claim 12, further comprising a graphic user interface for selecting a representative face image from each cluster and employing the representative face image to retrieve all digital images containing a face image of the individual represented by the cluster.

16. The system of claim 15, wherein the graphic user interface further includes means for associating the name of an individual with each cluster and using the name to retrieve all of the digital images containing the named individual.

17. The system of claim 12, wherein the face detector is a facial detection algorithm operating in a digital computer.

18. The system of claim 12, wherein the face recognizer is a facial recognition algorithm operating on a computer.