Generation of a digital 3D model of an object based on predicting a shape of the object

A computer implemented method of generating a digital 3D model of an object of an object type based on predicting a shape of the object, the method comprising:

• determining an average shape for a first set of training models comprising 2D models of the object type;
• determining a decomposition of the first set of training models;
• determining an average shape for a second set of training models comprising 3D models of the object type;
• determining a decomposition of the second set of training models;
• determining a relationship between the first set of training models and the second set of training models as a function of the average shape for the first set of training models, the decomposition of the first set of training models, the average shape for the second set of training models, and the decomposition of the second set of training models, each model in the first set of training models corresponding to a model in the second set of training models;
• determining a relationship between a subject model corresponding to a 2D model corresponding to the object and the first set of training models;
• and
• generating the digital 3D model of the object based on a predicted shape of the object based on the relationship between the first set of training models and the second set of training models and on the relationship between the subject model and the first set of training models.

A non-transitory computer readable medium comprising computer executable instructions stored thereon which when executed by a processor cause a computer to perform a method of generating a digital 3D model of an object of an object type based on predicting a shape of the object, the method comprising:

• determining an average shape for a first set of training models comprising 2D models of the object type;
• determining a decomposition of the first set of training models;
• determining an average shape for a second set of training models comprising 3D models of the object type;
• determining a decomposition of the second set of training models;
• determining a relationship between the first set of training models and the second set of training models as a function of the average shape for the first set of training models, the decomposition of the first set of training models, the average shape for the second set of training models, and the decomposition of the second set of training models, each model in the first set of training models corresponding to a model in the second set of training models;
• determining a relationship between a subject model and the first set of training models, the subject model being a 2D model corresponding to the object;
• and
• generating the digital 3D model of the object based on a predicted shape of the object based on the relationship between the first set of training models and the second set of training models and on the relationship between the subject model and the first set of training models.