Control method, learning device, discrimination device and program

Abstract

The learning device includes a first trainer, a candidate area determinator and a second trainer. On the basis of a training image and a training label including the correct coordinate value relating to the feature point included in the training image, the first trainer generates a first discriminator learned to output the predicted coordinate value relating to a feature point from an input image. The candidate area determinator determines a candidate area of the feature point in the training image based on the predicted coordinate value outputted by inputting the training image to the first discriminator. The second trainer generates the second discriminator, which is learned to output the reliability map indicating the reliability to the feature point at each block in an input image, on the basis of a cut-out image that is the candidate area cut out from the training image.