Image alignment systems and methods

A method comprising:

• capturing an image with a camera coupled to an eyewear frame;
• displaying the image together with a layout of regions;
• and
• based on a region in which an intended central feature of the image appeared, recommending a wedge having a particular angle and orientation for attachment between the camera and the eyewear frame.

A camera system comprising:

• an eyewear temple;
• a camera attached to the eyewear temple;
• and
• a wedge between the eyewear temple and the camera, wherein an angle of the wedge is selected to adjust a view of the camera.

A method comprising:

• holding a computing system in a particular position relative to a body-worn camera;
• displaying a machine-readable symbol on a display of the computing system;
• capturing an image of the machine-readable symbol with the body-worn camera;
• and
• analyzing the image of the machine-readable symbol to determine an amount of rotation, shift, crop, or combinations thereof, to align the image of the machine-readable symbol with a view of a user.

A computing system comprising:

• at least one processing unit;
• and
• memory encoded with executable instructions which, when executed by the at least one processing unit, cause the computing system to:
• receive an image captured by a wearable camera;
• and
• manipulate the image in accordance with a machine learning algorithm based on a model developed using a training set of images.

A system comprising:

• a camera devoid of a viewfinder, the camera comprising:
• an image sensor;
• a memory;
• and
• a sensor, wherein the sensor is configured to provide an output indicative of a direction of gravitation attraction;
• and
• a computing system configured to receive data indicative of an image captured by the image sensor and the output indicative of the direction of gravitation attraction, the computing system configured to rotate the image based on the direction of gravitation attraction.