Information processing systems, information processing methods, and programs

Claims

1. A training conversion means that converts a training image to generate a training converted image based on a training image and a training evaluation value which is an evaluation value of the training image, The system comprises a learning estimation means that uses the aforementioned training transformation image and the training transformation parameter set used to generate the training image to train a transformation estimation model for estimating a set of transformation parameters for transforming a target image, and thereby generates the trained transformation estimation model. Information processing system.

2. The aforementioned learning evaluation value is a value obtained using reference information to be compared with the learning image. The information processing system according to claim 1.

3. When a target image is input, the estimation means outputs the set of transformation parameters for the target image using the transformation estimation model that has been trained, The system further comprises a conversion means that uses the target image and the set of conversion parameters for the target image to convert the target image and generate a converted image. The information processing system according to claim 1 or 2.

4. A comparison means that compares the converted image with the registered information to be compared and calculates a target evaluation value, which is the evaluation value of the target image. The system further comprises authentication means for determining the identity of the person represented by the target image and the registration information, based on the target evaluation value. The information processing system according to claim 3.

5. In the training of the transformation estimation model, the training transformation image and the training transformation parameter set are used to perform training to estimate a set of transformation parameters for transforming an image and labels indicating the degradation factors of the image. When the trained transformation estimation model receives the target image as input, it outputs the transformation parameter set for the target image and a label indicating the degradation factor. The information processing system according to claim 3.

6. The system further comprises a learning comparison means that compares the learning image with the reference information and calculates the learning evaluation value, The aforementioned learning matching means is A learning extraction means for extracting learning features, which are the features of the learning image, from the aforementioned learning image, Includes a learning evaluation means that calculates a learning evaluation value by comparing the learning features with the reference information. The information processing system according to claim 2.

7. The aforementioned matching means is An extraction means for extracting target features, which are feature quantities of the converted image, from the converted image, Includes an evaluation means that calculates a target evaluation value by comparing the target feature quantity with the registered information. The information processing system according to claim 4.

8. The group of transformation parameters used to generate the transformed image is a plurality and is modified using the outputted group of transformation parameters. The information processing system according to claim 3.

9. One or more computers, Based on the training image and the training evaluation value which is the evaluation value of the training image, the training image is transformed to generate a transformed training image. Using the aforementioned training transformation image and the training transformation parameter set used to generate the training image, a transformation estimation model for estimating a set of transformation parameters for transforming a target image is trained to generate the trained transformation estimation model. Information processing methods.

10. On one or more computers, Based on the training image and the training evaluation value which is the evaluation value of the training image, the training image is transformed to generate a transformed training image. A program for performing the following actions: training a transformation estimation model to estimate a set of transformation parameters for transforming a target image, using the aforementioned training transformation image and the set of training transformation parameters used to generate the training image; and generating the trained transformation estimation model.