# US 12,120,431 B2 · Tag assisted image capture parameter generation

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- Number: US 12,120,431 B2
- Document ID: US12120431B2
- Status: Granted
- Kind: B2
- Application number: 17/957,619
- Filed: 2022-09-30
- Published: 2024-04-11
- Granted: 2024-10-15
- Earliest claimed: 2022-09-30
- Assignees: Motorola Mobility LLC
- Applicants: Motorola Mobility LLC
- Inventors: Jeevitha Jayanth; Sindhu Chamathakundil
- Web page: https://patentgrep.com/patent/US12120431B2

## CPC

- H04N 23/73: by influencing the exposure time
- G06T 7/70: Determining position or orientation of objects or cameras (camera calibration G06T7/80)
- G06T 7/73: using feature-based methods
- H04N 23/611: where the recognised objects include parts of the human body
- H04N 23/675: {comprising setting of focusing regions}
- H04N 23/72: Combination of two or more compensation controls
- H04N 23/88: for colour balance, e.g. white-balance circuits or colour temperature control
- H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

## Abstract

A computing device includes digital imaging functionality that captures images digitally using any of a variety of different technologies. The computing device receives an indication of, or determines, a physical location of a tag within a field of view of an image capture module and associates that physical location with a region of interest in the field of view. The tag is a device that transmits and receives signals allowing one or more other devices to determine the physical location of the tag, such as an ultra-wideband tag. The computing device also includes a parameter generation system that automatically generates, based at least in part on the region of interest associated with the physical location of the tag, one or more parameters for capturing a digital image. These parameters include, for example, an exposure setting, a white balance setting, and a focus setting.

## Claims

### Claim 1

A method comprising:
determining a physical location of a tag within a field of view of an image capture module;
receiving, from the tag, characteristics of the tag indicating a type of object associated with the tag;
identifying, based on the physical location of the tag, a region of interest in the field of view using an object detection technique corresponding to the type of object;
automatically generating, by prioritizing the region of interest, image capture parameters including at least one of an exposure setting and a white balance setting for the image capture module; and
capturing, using at least one of the exposure setting and the white balance setting, an image.

### Claim 2 (depends on 1)

The method of claim 1, wherein the automatically generating comprises automatically generating both the exposure setting and the white balance setting for the image capture module.

### Claim 3 (depends on 2)

The method of claim 2, wherein the automatically generating further comprises automatically generating a focus setting for the image capture module.

### Claim 4 (depends on 1)

The method of claim 1, wherein the tag comprises an ultra-wideband device.

### Claim 5 (depends on 1)

The method of claim 1, wherein identifying the region of interest comprises determining a portion of a preview frame captured by the image capture module that includes the tag.

### Claim 6 (depends on 5)

The method of claim 5, wherein identifying the region of interest further comprises determining, as the region of interest, a face in the preview frame captured by the image capture module.

### Claim 7

A computing device comprising:
an image capture module;
a processor implemented in hardware; and
a computer-readable storage memory having stored thereon multiple instructions that, responsive to execution by the processor, cause the processor to:
determine a physical location of a tag within a field of view of the image capture module;
receive, from the tag, characteristics of the tag indicating a type of object associated with the tag;
identify, based on the physical location of the tag, a region of interest in the field of view using an object detection technique corresponding to the type of object;
automatically generate, by prioritizing the region of interest, image capture parameters including at least one of an exposure setting and a white balance setting for the image capture module; and
cause the image capture module to capture, using at least one of the exposure setting and the white balance setting, an image.

### Claim 8 (depends on 7)

The computing device of claim 7, wherein to automatically generate at least one of the exposure setting and the white balance setting for the image capture module is to automatically generate both the exposure setting and the white balance setting for the image capture module.

### Claim 9 (depends on 7)

The computing device of claim 7, wherein the tag comprises an ultra-wideband device.

### Claim 10 (depends on 7)

The computing device of claim 7, wherein to identify the region of interest is to determine a portion of a preview frame captured by the image capture module that includes the tag.

### Claim 11 (depends on 10)

The computing device of claim 10, wherein to identify the region of interest is further to determine, as the region of interest, a face in the preview frame captured by the image capture module.

### Claim 12 (depends on 7)

The computing device of claim 7, wherein the multiple instructions further cause the processor to:
determine a physical location of an additional tag within the field of view of the image capture module; and
identify, based on the physical location of the additional tag, an additional region of interest in the field of view.

### Claim 13 (depends on 12)

The computing device of claim 12, wherein to automatically generate the image capture parameters is to automatically generate, by prioritizing both the region of interest and the additional region of interest, the image capture parameters including at least one of the exposure setting and the white balance setting for the image capture module.

### Claim 14 (depends on 7)

The computing device of claim 7, wherein to identify the region of interest is to identify, as the region of interest, an object detected using the object detection technique, the region of interest including the physical location of the tag.

### Claim 15

One or more non-transitory computer-readable media storing instructions, which when executed by at least one processor, cause the at least one processor to:
determine a physical location of a tag within a field of view of an image capture device;
receive, from the tag, characteristics of the tag indicating a type of object associated with the tag;
identify, based on the physical location of the tag, a region of interest in the field of view using an object detection technique corresponding to the type of object; and
automatically generate, by prioritizing the region of interest, at least one of an exposure setting and a white balance setting for the image capture device.

### Claim 16 (depends on 15)

The one or more non-transitory computer-readable media of claim 15, wherein to automatically generate at least one of the exposure setting and the white balance setting for the image capture device is to automatically generate both the exposure setting and the white balance setting for the image capture device.

### Claim 17 (depends on 16)

The one or more non-transitory computer-readable media of claim 16, wherein to automatically generate at least one of the exposure setting and the white balance setting for the image capture device is further to automatically generate a focus setting for the image capture device.

### Claim 18 (depends on 15)

The one or more non-transitory computer-readable media of claim 15, wherein the tag comprises an ultra-wideband device.

### Claim 19 (depends on 15)

The one or more non-transitory computer-readable media of claim 15, wherein to identify the region of interest is to determine a portion of a preview frame captured by the image capture device that includes the tag.

### Claim 20 (depends on 19)

The one or more non-transitory computer-readable media of claim 19, wherein to identify the region of interest is further to determine, as the region of interest, a face in the preview frame captured by the image capture device.
