Determining the uniqueness of a model for machine vision

A computer program product, tangibly embodied in a non-transitory machine-readable storage device, the computer program product including instructions being operable to cause a data processing apparatus to:

• receive a training image and a first set of model parameters;
• generate a first model of an object;
• generate a second model of the object based on the training image and a second set of model parameters modified from the first set of model parameters;
• determine a set of poses that represent possible instances of the second model in the training image;
• and
• compute a quality metric of the first model based on an evaluation of the set of poses with respect to the training image.

A system for determining a quality metric of a model of an object in a machine vision application, the system comprising:

• interface means for receiving a training image and a first set of model parameters;
• model generating means for generating a first model of an object;
• model generating means for generating a second model of the object based on the training image and a second set of model parameters modified from the first set of model parameters;
• processor means for determining a set of poses that represent possible instances of the second model in the training image;
• and
• processor means for computing a quality metric of the first model based on an evaluation of the set of poses with respect to the training image.

A machine vision system for determining a quality metric of a model of an object in a machine vision application, the system comprising:

• an interface for receiving a training image and a first set of model parameters;
• a model generating module for generating a first model of an object and for generating a second model of the object based on the training image and a second set of model parameters modified from the first set of model parameters;
• a run-time module for determining a set of poses that represent possible instances of the second model in the training image;
• and
• a quality-metric module for computing a quality metric of the first model based on an evaluation of the set of poses with respect to the training image.