Dental prosthetic color estimation method, information processing apparatus, dental prosthetic manufacturing method, information processing method, and storage medium

A dental prosthetic color estimation method comprising:

• acquiring color information about teeth, the color information being obtained by using an imaging unit;
• estimating color of a surface of a dental prosthetic by a computing unit based on color information about at least one of a target tooth for the dental prosthetic to be disposed, a tooth near the target tooth, and a tooth corresponding to the target tooth;
• and
• performing coloring by a coloring apparatus based on the estimated color,
• wherein the estimating includes identifying a missing part of the teeth, and determining a tooth having the identified missing part as the target tooth for the dental prosthetic to be disposed,
• wherein the estimating includes estimating a degree of missing of the missing part of the tooth, and estimating the color of the dental prosthetic based on the degree of missing, and
• wherein the estimating includes, in a case where the degree of missing is low, estimating the color of the dental prosthetic by making a weight of the color information about the target tooth higher than in a case where the degree of missing is high.

An information processing apparatus comprising:

• at least one processor;
• and
• at least one memory that is in communication with the at least one processor, wherein the at least one memory stores instructions for causing the at least one processor and the at least one memory to perform operations comprising:
• acquiring color information about teeth;
• and
• estimating color of a surface of a dental prosthetic based on color information about at least one of a target tooth for a dental prosthetic to be disposed, a tooth near the target tooth, and a tooth corresponding to the target tooth;
• wherein the estimating includes identifying a missing part of the teeth, and determining a tooth having the identified missing part as the target tooth for the dental prosthetic to be disposed,
• wherein the estimating includes estimating a degree of missing of the missing part of the tooth, and estimating the color of the dental prosthetic based on the degree of missing, and
• wherein the estimating includes, in a case where the degree of missing is high, estimating the color of the dental prosthetic by making a weight of the color information about the tooth near the target tooth or the tooth corresponding to the target tooth higher than in a case where the degree of missing is low.

An information processing apparatus comprising:

• an inference unit including a trained inference model trained using teaching data including training image data that is captured of a tooth row including a missing area and ground truth data that is information about color of a dental prosthetic to be disposed in the missing area in a pair;
• and
• an inference target data acquisition unit configured to acquire inference target image data captured of a tooth row including a missing area,
• wherein the inference unit is configured to infer color of a dental prosthetic corresponding to the inference target image data by inputting the inference target image data into the trained inference model,
• wherein the training image data includes image data where a partial area of the tooth row is masked, the masked area serving as the missing area, and
• wherein the inference model is an inference model based on a generative adversarial network (GAN).

An information processing apparatus comprising:

• an inference unit including a trained inference model trained using teaching data including training image data that is captured of a tooth row including a missing area and ground truth data that is information about color of a dental prosthetic to be disposed in the missing area in a pair;
• and
• an inference target data acquisition unit configured to acquire inference target image data captured of a tooth row including a missing area,
• wherein the inference unit is configured to infer color of a dental prosthetic corresponding to the inference target image data by inputting the inference target image data into the trained inference model, and
• wherein the inference unit is configured to select an inference model to infer from a plurality of different trained inference models, and make an inference using the selected inference model.

An information processing method comprising:

• acquiring inference target image data captured of a tooth row including a missing area;
• and
• inferring color of a dental prosthetic by inputting the inference target image data into a trained inference model obtained by training an inference model based on machine learning using teaching data including training image data that is captured of a tooth row including a missing area and ground truth data that is information about color of a dental prosthetic to be disposed in the missing area in a pair,
• wherein the inferring is configured to select an inference model to infer from a plurality of different trained inference models, and make an inference using the selected inference model.