Model isomorphism detection

A system for identifying similar three-dimensional (3D) representations of an object, the system comprising:

• an interface for receiving:
• a target 3D model, and
• at least one candidate 3D model;
• and
• a processor executing instructions stored on memory and configured to:
• execute at least one feature identification procedure to identify a feature of the target 3D model,
• generate a target feature tensor based on the identified feature of the target 3D model,
• execute the at least one feature identification procedure on the candidate 3D model,
• generate a candidate feature tensor based on the identified feature of the candidate 3D model,
• execute at least one comparison function to compare the target feature tensor and the candidate feature tensor;
• generate a feature comparison tensor based on the execution of the at least one comparison function, and
• identify a degree of similarity between target 3D model and the candidate 3D model based on the feature comparison tensor.

A method for determining a difference between two 3D models, the method comprising:

• receiving at an interface:
• a first 3D model, and
• a second 3D model;
• executing a first feature identification procedure to identify at least a first feature of the first 3D model;
• generating a first feature tensor based on at least the first feature of the first 3D model;
• executing the first feature identification procedure to identify the at least the first feature of the second 3D model;
• generating a second feature tensor based on at least the first feature of the second 3D model;
• executing at least one comparison function to compare the first feature tensor and the second feature tensor;
• generating a feature comparison tensor based on the execution of the at least one comparison function;
• and
• identifying a difference between the first 3D model and the second 3D model based on the feature comparison tensor.