IMAGE SEARCH INCLUDING FACIAL IMAGE

• US 20120155717A1
• Filed: 12/16/2010
• Published: 06/21/2012
• Est. Priority Date: 12/16/2010
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Ma, Yue, Ke, Qifa, Hamilton, Justin
• Application Number:
  US12/970,314
• Publication Number:
  US 20120155717A1
• Time in Patent Office: Days
• US Class Current: 382/118
• CPC Class Codes: G06F 16/5854 using shape and object relationship

Abstract

A method and apparatus is provided for performing image matching. The method includes comparing a face in a first image to a face in each of a set of stored images to identify one or more face-matching images that include similar facial features to the face in the first image. Next, the first image is compared to each of the face-matching images to identify one or more resulting images that are spatially similar to the first image. Accordingly, the resulting image or images have similar facial features and similar overall or background features to those in the first image. For example, if the query image is of a playground with a child swinging on a swing, the image matching technique can find other images of the same child in a setting that appears similar.

Claims

1. One or more computer-readable media storing instructions executable by a computing system, comprising:

receiving from a user a query that includes a query image;

identifying a presence of at least one face in the query image;

comparing the face in the query image to a plurality of stored images that include faces;

determining a similarity of the face in the query image to the faces in the plurality of stored images that include faces;

selecting a plurality of resultant images from among the plurality of stored images, the resultant images being images that include a face that is determined to be similar to the face in the query image based on one or more first criteria;

comparing non-facial features in the query image to non-facial features in each of the resultant images to determine an overall degree of similarity therebetween;

selecting one or more resultant images that is determined to have an overall similarity to the non-facial features in the query based on one or more second criteria; and

presenting the one or more selected resultant images to the user.

2. The one or more computer-readable media of claim 1 wherein comparing the face in the query image to a plurality of stored images that include faces further comprises extracting a plurality of different facial features from the faces and comparing the faces on a feature by feature basis.

3. The one or more computer-readable media of claim 1 further comprising quantizing each of the facial features into visual words.

4. The one or more computer-readable media of claim 3 further comprising storing the visual words in an inverse index.

5. The one or more computer-readable media of claim 1 wherein the comparison of the query image to the plurality of stored images comprises computing a difference vector between the query image and each of the stored images to which it is compared.

6. The one or more computer-readable media of claim 5 further comprising mapping the difference vector to a similarity score using a mapping function that approximates human perception of similarities between facial features of different individuals.

7. The one or more computer-readable media of claim 6, wherein the mapping function is determined based on similarity scores assigned by one or more human assessors.

8. The one or more computer-readable media of claim 1 wherein the query further includes a text-based search term and further comprising selecting the one or more resultant images based at least in part on a search performed using the text-based search term.

9. The one or more computer-readable media of claim 1 wherein identifying the presence of at least one face in the query image includes extracting skin color and hair color regions from the query image and comparing the extracted regions to pre-defined head-shape models.

10. A system for implementing image matching comprising;

a memory and processor;

a user interface module, stored in the memory and executable on the processor, configured to prompt a user to provide a query image;

a data management module, stored in the memory and executable on the processor, configured to communicate with a stored image database that stores a plurality of stored images that include faces; and

a search module, stored in the memory and executable on the processor, configured to operate in conjunction with the data management module to;

identify a presence of at least one face in the query image;

determine a similarity of the face in the query image to the faces in the plurality of stored images based on one or more pre-established criteria;

determine a similarity of non-facial features in the query image to non-facial features in a subset of the stored images which each have a face with at least a prescribed degree of similarity to the face in the query image.

11. The system of claim 10 wherein the search module is further configured to:

extract a plurality of different facial features from the faces in the query image and the stored images and compare the faces on a feature by feature basis; and

quantize each of the facial features into visual words.

12. The system of claim 11 wherein the search module is further configured to:

compute a difference vector between the query image and each of the stored images; and

map the difference vector to a similarity score using a mapping function that approximates human perception of similarities between facial features of different individuals.

13. A method for performing image matching, comprising:

comparing a face in a first image to a face in each of a plurality of stored images to identify one or more face-matching images that include similar facial features to the face in the first image;

comparing the first image to each of the face-matching images to identify one or more resultant images that are spatially similar; and

presenting the one or more resultant images to a user.

14. The method of claim 13 wherein the face appears in a foreground of the image and the first image is spatially similar to a first of the facially-matching images if a background region of the first image is similar to a background region of the first facially-matching image.

15. The method of claim 13 wherein comparing the face in the first image to a face in each of the plurality of stored images further comprises extracting a plurality of different facial features from the faces and comparing the faces on a feature by feature basis.

16. The method of claim 15 further comprising quantizing each of the facial features into visual words.

17. The method of claim 16 further comprising storing the visual words in an inverse index.

18. The method of claim 17 further comprising identifying the one or more face-matching images that include similar facial features to the face in the first image by searching the inverse index using visual words associated with the first image.

19. The method of claim 13, wherein the comparison of the first image to the plurality of stored images comprises computing a difference vector between the first image and each of the stored images.

20. The method of claim 19 further comprising mapping the difference vector to a similarity score using a mapping function that approximates human perception of similarities between facial features of different individuals.