Learning model generation device, learning model generation method, and computer-readable recording medium

A learning model generation method comprising:

• inputting first sample data to a basic learning model that has been trained through machine learning on a relationship between two-dimensional joint point coordinates and three-dimensional joint point coordinates;
• inputting second sample data having differences from the first sample data to a learning model to be updated;
• calculating a difference between an intermediate feature quantity of the basic learning model when the first sample data is input and an intermediate feature quantity of the learning model to be updated when the second sample data is input;
• and
• updating parameters of the learning model to be updated by using the calculated difference.

A non-transitory computer-readable recording medium storing a program including instructions that cause a computer to

• input first sample data to a basic learning model that has been trained through machine learning on a relationship between two-dimensional joint point coordinates and three-dimensional joint point coordinates,
• input second sample data having differences from the first sample data to a learning model to be updated,
• calculate a difference between an intermediate feature quantity of the basic learning model when the first sample data is input and an intermediate feature quantity of the learning model to be updated when the second sample data is input, and
• update parameters of the learning model to be updated by using the calculated difference.