Object surface matching with a template for flight parameter measurement

A system comprising:

• a memory;
• and
• a processor operatively coupled to the memory, the processor being configured to execute operations that, when executed, cause the processor to:
• generate a set of template images including a first template image and a second template image, each template image in the set of template images including a mathematically generated orientation for an object;
• store the set of template images to a template database;
• identify the object in-flight in an image;
• identify a feature orientation on the object that is in a first spatial position;
• identify a region of interest that includes the feature orientation;
• generate a cropped image that includes the entire region of interest and excludes at least a portion of the object;
• access the set of template images in the template database;
• compare the feature orientation on the object of the cropped image with the set of template images;
• identify the first template image in the set of template images that includes the feature orientation on the object that is in the first spatial position;
• determine first coordinates for the first spatial position based on the first template image;
• identify a second image of the object that includes the feature orientation on the object that is in a second spatial position;
• identify the second template image in the set of template images that includes the feature orientation on the object that is in the second spatial position;
• determine second coordinates for the second spatial position based on the second template image;
• and
• generate a spin value for the object based on the first coordinates and the second coordinates.

A non-transitory computer-readable medium having encoded therein programming code executable by a processor to perform operations comprising:

• generating a set of template images including a first template image and a second template image, each template image in the set of template images including a mathematically generated orientation for an object;
• storing the set of template images to a template database;
• identifying the object in-flight in an image;
• identifying a feature orientation on the object that is in a first spatial position;
• identifying a region of interest that includes the feature orientation;
• generating a cropped image that includes the entire region of interest and excludes at least a portion of the object;
• accessing the set of template images in the template database;
• comparing the feature orientation of the cropped image with the set of template images;
• identifying the first template image in the set of template images that includes the feature orientation on the object that is in the first spatial position;
• determining first coordinates for the first spatial position based on the first template image;
• identifying a second image of the object that includes the feature orientation on the object that is in a second spatial position;
• identifying the second template image in the set of template images that includes the feature orientation on the object that is in the second spatial position;
• determining second coordinates for the second spatial position based on the second template image;
• and
• generating a spin value for the object based on the first coordinates and the second coordinates.