Object ingestion through canonical shapes, systems and methods

A medical imaging method employing object ingestion comprising the steps of:

• obtaining a digital representation of a scene including an image of a target object captured by a sensor and a location;
• identifying contextually relevant shape objects relevant to a medical imaging context;
• deriving a set of features from the image of the target object;
• selecting at least one target shape object from the contextually relevant shape objects based on the set of features;
• generating a target object model from the at least one target shape object and portions of the image associated with the set of features;
• creating a set of key frame bundles from the target object model as a function of recognition algorithm descriptors and points of view associated with the at least one target shape object;
• and
• sending the set of key frame bundles to storage.

A medical imaging device employing object ingestion comprising a mobile device that comprises at least one of a cell phone, a robot, a game console, a game interface, a digital camera, a medical device, a head-mount visor, a toy, and a vehicle, the mobile device comprising:

• a non-transitory computer readable memory storing object ingestion software instructions;
• and
• at least one processor coupled with the non-transitory computer readable memory and image sensor, and that is configurable upon execution of the object ingestion software instructions by the at least one processor to:
• obtain a digital representation of a scene including an image of a target object captured by a sensor and a location;
• identify contextually relevant shape objects relevant to a medical imaging context;
• derive a set of features from the image of the target object;
• select at least one target shape object from the contextually relevant shape objects based on the set of features;
• generate a target object model from the at least one target shape object and portions of the image associated with the set of features;
• create a set of key frame bundles from the target object model as a function of recognition algorithm descriptors and points of view associated with the at least one target shape object;
• and
• send the set of key frame bundles to storage.