METHOD FOR IMAGE PROCESSING AND AN APPARATUS

• US 20130148897A1
• Filed: 11/20/2012
• Published: 06/13/2013
• Est. Priority Date: 11/22/2011
• Status: Abandoned Application

• Current Assignee: Nokia Corporation, Board of Trustees of the Leland Stanford Junior University (Stanford Management Co.)
• Original Assignee: Nokia Corporation, Board of Trustees of the Leland Stanford Junior University (Stanford Management Co.)
• Inventors: Takacs, Gabriel, Grzeszczuk, Radek, Chandrasekhar, Vijay, Girod, Bernd
• Application Number:
  US13/682,518
• Publication Number:
  US 20130148897A1
• Time in Patent Office: Days
• US Class Current: 382/195
• CPC Class Codes: G06V 10/462 Salient features, e.g. scale invariant feature transforms [SIFT]

Abstract

The disclosure relates to a method comprising receiving an image;

filtering the image by a first filter to obtain a set of first filtered values and by a second filter to obtain a set of second filtered values. The first filtered values are stored. An algorithm is applied to the set of first filtered values and the set of second filtered values to obtain a set of results. At least one local maximum, local minimum or both of the results are searched to determine a location of an interest point. A descriptor is determined for a detected interest point on the basis of the stored one or more first filtered values. The disclosure also relates to an apparatus and a storage medium.

Claims

1. A method comprising:

receiving an image;

filtering the image by a first filter to obtain a set of first filtered values and by a second filter to obtain a set of second filtered values;

storing the first filtered values;

applying an algorithm to the set of first filtered values and the set of second filtered values to obtain a set of results;

searching at least one local maximum, local minimum or both of the results to determine a location of an interest point; and

determining a descriptor for a detected interest point on the basis of the stored one or more first filtered values.

2. A method according to claim 1 further comprising obtaining filter responses for a range of filter scales yielding a stack of filtered images.

3. A method according to claim 1 further comprising using box filters as the first filter and the second filter.

4. A method according to claim 1 further comprising selecting a scale parameter s, setting the width of the first filter to 2s+1;

and setting the width of the second filter to 4s+1.

5. A method according to claim 1 further comprising using an integral image in the calculation of the first filtered values and the second filtered values.

6. A method according to claim 1 further comprising defining a threshold;

wherein the searching comprises comparing the results with the threshold to find a local maximum, local minimum or both.

7. A method according to claim 1 further comprising determining whether the detected interest point is an edge, and if so, excluding the detected interest point from descriptor determination.

8. A method according to claim 1 further comprising using a pyramid scale space.

9. A method according to claim 1 further comprising computing a first scale on a full resolution, and downsampling each subsequent scale by a factor which is one greater than the factor on the previous scale.

10. An apparatus comprising a processor and a memory including computer program code, the memory and the computer program code configured to, with the processor, cause the apparatus to:

receive an image;

filter the image by a first filter to obtain a set of first filtered values and by a second filter to obtain a set of second filtered values;

store the first filtered values;

apply an algorithm to the set of first filtered values and the set of second filtered values to obtain a set of results;

search local maximum, local minimum or both of the results to determine a location of an interest point; and

determine a descriptor for a detected interest point on the basis of the stored one or more first filtered values.

11. An apparatus according to claim 10 comprising computer program code configured to, with the processor, cause the apparatus to obtain filter responses for a range of filter scales yielding a stack of filtered images.

12. An apparatus according to claim 10 comprising computer program code configured to, with the processor, cause the apparatus to use box filters as the first filter and the second filter.

13. An apparatus according to claim 10 comprising computer program code configured to, with the processor, cause the apparatus to select a scale parameter s, setting the width of the first filter to 2s+1;

and setting the width of the second filter to 4s+1.

14. An apparatus according to claim 10 comprising computer program code configured to, with the processor, cause the apparatus to use an integral image in the calculation of the first filtered values and the second filtered values.

15. An apparatus according to claim 10 comprising computer program code configured to, with the processor, cause the apparatus to define a threshold;

wherein the searching comprises comparing the results with the threshold to find a local maximum, local minimum or both.

16. An apparatus according to claim 10 comprising computer program code configured to, with the processor, cause the apparatus to determine whether the detected interest point is an edge, and if so, excluding the detected interest point from descriptor determination.

17. An apparatus according to claim 10 comprising computer program code configured to, with the processor, cause the apparatus to use a pyramid scale space.

18. An apparatus according to claim 10 comprising computer program code configured to, with the processor, cause the apparatus to compute a first scale on a full resolution, and downsampling each subsequent scale by a factor which is one greater than the factor on the previous scale.

19. A storage medium having stored thereon a computer executable program code for use by an apparatus, said program code comprises instructions for:

receiving an image;

filtering the image by a first filter to obtain a set of first filtered values and by a second filter to obtain a set of second filtered values;

storing the first filtered values;

applying an algorithm to the set of first filtered values and the set of second filtered values to obtain a set of results;

searching local maximum, local minimum or both of the results to determine a location of an interest point; and

determining a descriptor for a detected interest point on the basis of the stored one or more first filtered values.

20. An apparatus comprising:

means for receiving an image;

means for filtering the image by a first filter to obtain a set of first filtered values and by a second filter to obtain a set of second filtered values;

means for storing the first filtered values;

means for applying an algorithm to the set of first filtered values and the set of second filtered values to obtain a set of results;

means for searching local maximum, local minimum or both of the results to determine a location of an interest point; and

means for determining a descriptor for a detected interest point on the basis of the stored one or more first filtered values.