Independently processing plurality of regions of interest

Patent metadata

Field	Value
Publication number	US-11450140-B2
Application number	US-202117301816-A
Country	US
Kind code	B2
Filing date	Apr 15, 2021
Priority date	Aug 12, 2016
Publication date	Sep 20, 2022
Grant date	Sep 20, 2022

Abstract

In some examples, a method includes determining, by a computing device, a plurality of regions of interest of an image for independently processing relative to a plane of interest; determining, by the computing device and for respective regions of interest of the plurality of regions of interest, a distance from objects within the respective regions of interest to the plane of interest; and processing, by the computing device and independently for the respective regions of interest, the respective regions of interest of the image based on the determined distance from the objects to the plane of interest.

First claim

What is claimed is:

1. A method comprising:
receiving, by a computing device, an image captured by a camera or via a platen of an apparatus that includes the computing device;
determining, by a computing device, a plurality of regions of interest within the captured image;
processing, by the computing device, the captured image relative to a plane of interest that is defined by at least one of an image plane of the camera or by the platen of the apparatus that includes the computing device by:
rescaling, by the computing device, one or more of the respective regions of interest;
determining, by the computing device, for each respective region of interest of the plurality of regions of interest, a respective distance from one or more objects within the respective region of interest to the plane of interest; and
processing, by the computing device, each respective region of interest independently of any other regions of interest included in the plurality of regions of interest, based on the respective distance from the one or more objects of each respective region of interest to the plane of interest.

2. The method of claim 1 , wherein rescaling the one or more of the respective regions of interest comprises downscaling the one or more of the respective regions of interest to a predetermined resolution.

3. The method of claim 2 , wherein downscaling the one or more of the respective regions of interest to the predetermined resolution comprises downscaling the one or more of the respective regions of interest to a resolution of one of 500 pixels per inch or 1000 pixels per inch.

4. The method of claim 1 , wherein processing the respective regions of interest comprises performing perspective correction for at least one of the respective regions of interest.

5. The method of claim 1 , wherein the captured image represents a friction ridge surface.

6. The method of claim 5 , wherein the captured image represents a friction ridge surface associated with at least one of a palm print, a fingerprint, or a footprint.

7. A device comprising:
a memory configured to store an image an image captured by a camera or via a platen of an apparatus that includes the device; and
one or more processors in communication with the memory, the one or more processors being configured to process the image stored to the memory relative to a plane of interest that is defined by at least one of an image plane of the camera or by the platen of the apparatus that includes the computing device, wherein to process the captured image stored to the memory relative to the plane of interest, the one or more processors are configured to:
determine a plurality of regions of interest within the captured image stored to the memory;
rescale one or more of the respective regions of interest;
determine, for each respective region of interest of the plurality of regions of interest, a respective distance from one or more objects within the respective region of interest to the plane of interest; and
process each respective region of interest independently of any other regions of interest included in the plurality of regions of interest, based on the respective distance from the one or more objects of each respective region of interest to the plane of interest.

8. The device of claim 7 , wherein to process the captured image relative to the plane of interest, the one or more processors are configured to rescale one or more of the respective regions of interest.

9. The device of claim 8 , wherein to rescale the one or more of the respective regions of interest, the one or more processors are configured to downscale the one or more of the respective regions of interest to a predetermined resolution.

10. The device of claim 9 , wherein to downscale the one or more of the respective regions of interest to the predetermined resolution, the one or more processors are configured to downscale the one or more of the respective regions of interest to a resolution of one of 500 pixels per inch or 1000 pixels per inch.

11. The device of claim 7 , wherein to process the respective regions of interest, the one or more processors are configured to perform perspective correction for at least one of the respective regions of interest.

12. The device of claim 7 , wherein the captured image represents a friction ridge surface.

13. The device of claim 12 , wherein the captured image represents a friction ridge surface associated with at least one of a palm print, a fingerprint, or a footprint.

14. A non-transitory computer-readable storage medium encoded with instructions that, when executed, cause one or more processors of a device to:
store, to the non-transitory computer-readable storage medium, an image an image captured by a camera or via a platen of an apparatus that includes the computing device;
process the image stored to the memory relative to a plane of interest that is defined by at least one of an image plane of the camera or by the platen of the apparatus that includes the computing device, wherein the instructions that cause the one or more processors to process the captured image relative to the plane of interest comprise instructions that, when executed, cause the one or more processors to:
determine a plurality of regions of interest within the captured image stored to the

non-transitory computer-readable storage medium;
perform perspective correction for at least one of the respective regions of interest;
determine, for each respective region of interest of the plurality of regions of interest, a respective distance from one or more objects within the respective region of interest to the plane of interest; and
process each respective region of interest independently of any other regions of interest included in the plurality of regions of interest, based on the respective distance from the one or more objects of each respective region of interest to the plane of interest.

15. The non-transitory computer-readable storage medium of claim 14 , wherein the instructions that cause the one or more processors to process the captured image relative to the plane of interest comprise instructions that, when executed, cause the one or more processors to rescale one or more of the respective regions of interest.

16. The non-transitory computer-readable storage medium of claim 14 , wherein the instructions that cause the one or more processors to rescale the one or more of the respective regions of interest comprise instructions that, when executed, cause the one or more processors to downscale the one or more of the respective regions of interest to a predetermined resolution.

17. The non-transitory computer-readable storage medium of claim 16 , wherein the instructions that cause the one or more processors to downscale the one or more of the respective regions of interest to the predetermined resolution comprise instructions that, when executed, cause the one or more processors to downscale the one or more of the respective regions of interest to a resolution of one of 500 pixels per inch or 1000 pixels per inch.

Assignees

• 3M Innovative Properties Co

Inventors

• Shannon Robert W
• Dunn Douglas S
• Casner Glenn E
• Gandrud Jonathan D
• Scott Shannon D
• Singh Gautam

Classifications

• G06V40/1312 Primary

  direct reading, e.g. contactless acquisition · CPC title

• G06V40/1359 Primary

  Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop · CPC title

• G06V10/25

  Determination of region of interest [ROI] or a volume of interest [VOI] · CPC title

• G06T3/40

  Scaling of whole images or parts thereof, e.g. expanding or contracting · CPC title

• G06V40/1318

  using electro-optical elements or layers, e.g. electroluminescent sensing · CPC title