Methods And Apparatus For Object Detection Within An Image

• US 20090202175A1
• Filed: 02/12/2008
• Published: 08/13/2009
• Est. Priority Date: 02/12/2008
• Status: Abandoned Application

• Current Assignee: Seiko Epson Corporation (Seiko Group)
• Original Assignee: Seiko Epson Corporation (Seiko Group)
• Inventors: Zhou, Hui, Guerzhoy, Michael
• Application Number:
  US12/029,603
• Publication Number:
  US 20090202175A1
• Time in Patent Office: Days
• US Class Current: 382/289
• CPC Class Codes: G06V 10/242 by image rotation, e.g. by 90 degrees
• CPC Class Codes: G06V 40/16 Human faces, e.g. facial parts, sketches or expressions

Abstract

A method and device for estimating an orientation of an object, such as a face, within an image. One example method includes estimating an orientation of the image. The image is then analyzed using first and second candidate object orientations to generate respective first and second confidence values. The first candidate object orientation is equal to the estimated image orientation and the second candidate object orientation differs from the first candidate object orientation by a first predetermined angle, such as 180°. The method further includes estimating the orientation of the object based at least in part on the first and second confidence values.

Claims

1. A method of estimating an orientation of an object in an image, the method comprising:

estimating an orientation of the image;

analyzing the image using first and second candidate object orientations to generate respective first and second confidence values; and

estimating the orientation of the object based at least in part on the first and second confidence values,

wherein the first candidate object orientation is equal to the estimated image orientation and the second candidate object orientation differs from the first candidate object orientation by a first predetermined angle.

2. The method of claim 1, wherein the first predetermined angle is approximately 180 degrees.

3. The method of claim 1, wherein estimating the orientation of the image includes analyzing an edge direction histogram of the image.

4. The method of claim 1, wherein analyzing the image using the first and second candidate object orientations includes:

rotating the image by a first angle corresponding to the first candidate object orientation;

searching for the object in the image rotated by the first angle to generate a first set of search results;

rotating the image by a second angle corresponding to the second candidate object orientation; and

searching for the object in the image rotated by the second angle to generate a second set of search results,

wherein the first and second confidence values are based on the first and second sets of search results, respectively.

5. The method of claim 1, further comprising:

adding a constant to the first confidence value such that the first candidate object orientation is preferred over the second candidate object orientation when estimating the orientation of the object.

6. The method of claim 1, further comprising:

analyzing the image using third and fourth candidate object orientations to generate respective third and fourth confidence values; and

estimating the orientation of the object based at least in part on the third and fourth confidence values,

wherein the third candidate object orientation differs from the first candidate object orientation by a second predetermined angle and the fourth candidate object orientation differs from the first candidate object orientation by a third predetermined angle.

7. The method of claim 6, wherein the second predetermined angle is approximately 90 degrees and the third predetermined angle is approximately 270 degrees.

8. The method of claim 6, further comprising:

adding a first constant to the first confidence value and a second constant, smaller than the first constant, to the second confidence value such that, when estimating the orientation of the object, the first candidate object orientation is preferred over the second candidate object orientation and the second candidate object orientation is preferred over the third and fourth candidate object orientations.

9. The method of claim 1, wherein the object is a face.

10. A computer-readable medium having computer-executable instructions adapted to carry out the method of claim 1.

11. A device for estimating an orientation of an object in an image, the device comprising:

an image detecting module adapted to detect the image; and

a processor adapted to;

estimate an orientation of the image;

analyze the image using first and second candidate object orientations to generate respective first and second confidence values; and

estimate the orientation of the object based at least in part on the first and second confidence values,

wherein the first candidate object orientation is equal to the estimated image orientation and the second candidate object orientation differs from the first candidate object orientation by a first predetermined angle.

12. The device of claim 11, wherein the first predetermined angle is approximately 180 degrees.

13. The device of claim 11, wherein the processor is further adapted to analyze an edge direction histogram of the image to estimate the orientation of the image.

14. The device of claim 11, wherein to generate respective first and second confidence values, the processor is further adapted to:

rotate the image with a first angle corresponding to the first candidate object orientation;

search for the object in the image rotated by the first angle to generate a first set of search results;

rotate the image by a second angle corresponding to the second candidate object orientation; and

search for the object in the image rotated by the second angle to generate a second set of search results,

wherein the first and second confidence values are based on the first and second sets of search results, respectively.

15. The device of claim 11, wherein the processor is further adapted to:

add a constant to the first confidence value such that the first candidate object orientation is preferred over the second candidate object orientation when the orientation of the object is estimated.

16. The device of claim 11, wherein the processor is further adapted to:

analyze the image using third and fourth candidate object orientations to generate respective third and fourth confidence values; and

estimate the orientation of the object based at least in part on the third and fourth confidence values,

wherein the third candidate object orientation differs from the first candidate object orientation by a second predetermined angle and the fourth candidate object orientation differs from the first candidate object orientation by a third predetermined angle.

17. The device of claim 16, wherein the second predetermined angle is approximately 90 degrees and the third predetermined angle is approximately 270 degrees.

18. The device of claim 16, wherein the processor is further adapted to:

add a first constant to the first confidence value and a second constant, smaller than the first constant, to the second confidence value such that, when the orientation of the object is estimated, the first candidate object orientation is preferred over the second candidate object orientation and the second candidate object orientation is preferred over the third and fourth candidate object orientations.

19. The device of claim 11, wherein the object is a face.