Disclosed is a learning method that may include generating learning data that may contain a composite image including a CG model of an object and may contain a training signal of the object. Further disclosed is a way of learning a recognition function of recognizing information regarding the object from the composite image by neuro computation using the learning data, the generated learning data including new learning data on the basis of a gradient of error for each of pixels of the composite image, which may be calculated from the composite image and the training signal by backpropagation. The disclosed learning may include learning the recognition function by using the new learning data.
Learning method, learning device, program, and recording medium