Determine image capture position information based on a quasi-periodic pattern

Patent metadata

Field	Value
Publication number	US-11263784-B2
Application number	US-201916709714-A
Country	US
Kind code	B2
Filing date	Dec 10, 2019
Priority date	Dec 19, 2014
Publication date	Mar 1, 2022
Grant date	Mar 1, 2022

Abstract

Examples disclosed herein relate to determining image capture position information based on a quasi-periodic pattern. For example, a processor may determine whether a target area is within a captured image based on the detection of a quasi-periodic pattern in a first detection area and in a second detection area of the captured image.

First claim

The invention claimed is:

1. A computing system comprising:
a processor; and
a non-transitory, machine-readable storage medium in communication with the processor, the storage medium comprising instructions executable by the processor for:
analyzing multiple different portions of a captured image to detect a quasi-periodic pattern;
in response to detecting multiple different quasi-periodic patterns in multiple different portions of the captured image, determining based on a first detected quasi-periodic pattern and a second detected quasi-periodic pattern whether the captured image meets criteria to process a target area of the captured image, wherein the target area is separate from portions of the captured image containing any quasi-periodic pattern; and
in response to the captured image meeting the criteria, decoding a data payload from a pattern of the target area.

2. The computing system of claim 1 , further comprising instructions for providing feedback directing adjustment of a camera used for image capture of the captured image based on a detected presence of either the first or second quasi-periodic pattern.

3. The computing system of claim 1 , further comprising instructions for providing feedback directing adjustment of a camera used for image capture of the captured image based on a detected absence of either the first or second quasi-periodic pattern.

4. The computing system of claim 1 , further comprising instructions for determining an orientation of the captured image based on either quasi-periodic pattern.

5. The computing system of claim 1 , further comprising instructions for determining a resolution of the captured image based on either quasi-periodic pattern.

6. The computing system of claim 1 , further comprising instructions for analyzing the first and second quasi-periodic patterns to determine properties of the captured image.

7. The computing system of claim 6 , wherein analyzing the first and second quasi periodic patterns comprises comparing a property of the first quasi-periodic pattern to a property of the second quasi-periodic pattern.

8. The computing system of claim 6 , wherein analyzing the first and second quasi-periodic patterns comprises comparing a scale of the first and second quasi-periodic patterns.

9. The computing system of claim 6 , wherein analyzing the first and second quasi-periodic patterns comprises comparing an angle of the first and second quasi-periodic patterns.

10. The computing system of claim 1 , further comprising instructions for determining at least one of: a position of a detection area containing a quasi-periodic pattern and a shape of a detection area containing a quasi-periodic pattern.

11. The computing system of claim 1 , wherein the criteria are met by a determination based on the first detected quasi-periodic pattern and the second detected quasi-periodic pattern that the captured image contains the target area having the data payload.

12. The computing system of claim 11 , further comprising instructions for providing feedback directing adjustment of a camera used for image capture of the captured image based on a detected presence of either the first or second quasi-periodic pattern.

13. The computing system of claim 11 , further comprising instructions for providing feedback directing adjustment of a camera used for image capture of the captured image based on a detected absence of either the first or second quasi-periodic pattern.

14. The computing system of claim 11 , further comprising instructions for determining an orientation of the captured image based on either quasi-periodic pattern.

15. The computing system of claim 11 , further comprising instructions for determining a resolution of the captured image based on either quasi-periodic pattern.

16. The computing system of claim 11 , further comprising instructions for determining at least one of: a position of a detection area containing a quasi-periodic pattern and a shape of a detection area containing a quasi-periodic pattern.

17. The computing system of claim 11 , further comprising instructions for analyzing the first and second quasi-periodic patterns to determine properties of the captured image.

18. The computing system of claim 17 , wherein analyzing the first and second quasi periodic patterns comprises comparing a property of the first quasi-periodic pattern to a property of the second quasi-periodic pattern.

19. The computing system of claim 17 , wherein analyzing the first and second quasi-periodic patterns comprises comparing a scale of the first and second quasi-periodic patterns.

20. The computing system of claim 17 , wherein analyzing the first and second quasi-periodic patterns comprises comparing an angle of the first and second quasi-periodic patterns.

Assignees

• Hewlett Packard Development Co

Inventors

• Ulichney Robert
• Gaubatz Matthew
• Pollard Stephen

Classifications

• H04N23/62 Primary

  Control of parameters via user interfaces · CPC title

• H04N23/63

  by using electronic viewfinders · CPC title

• G06F16/5854

  using shape and object relationship · CPC title

• G06T7/11

  Region-based segmentation · CPC title

• G06T7/97 Primary

  Determining parameters from multiple pictures (depth or shape recovery from multiple images G06T7/55; stereo camera calibration G06T7/85) · CPC title