Photogrammetry of building using machine learning based inference

An information processing apparatus comprising:

• a data set receiving circuit configured to receive a data set that includes at least building information modeling (BIM) data and route information, the route information representing a route arranged inside and/or outside a virtual building represented by the BIM data;
• a virtual image set generating processor configured to generate a virtual image set of interior and/or exterior of the virtual building along the route, based on the data set;
• and
• an inference model creating processor configured to create an inference model used to identify data of a building material from measured data of a building, by applying machine learning with training data that includes at least the virtual image set to a neural network.

An information processing apparatus comprising:

• a memory that stores an inference model created by applying, to a neural network, machine learning with training data that includes at least a virtual image set along a predetermined route arranged inside and/or outside a virtual building represented by building information modeling (BIM) data;
• and
• a processor configured to perform data processing using the inference model, wherein
• the processor includes:
• a feature extractor configured to extract a feature from measured data of a building;
• and
• an identifier configured to identify data of a building material based on the feature.

A method of creating an inference model, comprising:

• preparing a data set that includes at least building information modelling (BIM) data;
• setting a route arranged inside and/or outside a virtual building represented by the BIM data, based on the data set;
• generating a virtual image set of the virtual building along the route, based on the data set and the route;
• and
• creating an inference model used to identify data of a building material from measured data of a building, by applying machine learning with training data that includes at least the virtual image set to a neural network.

A method of creating an inference model, comprising:

• preparing a data set that includes at least building information modeling (BIM) data and route information, the route information representing a route arranged inside and/or outside a virtual building represented by the BIM data;
• generating a virtual image set of interior and/or exterior of the virtual building along the route, based on the data set;
• and
• creating an inference model used to identify data of a building material from measured data of a building, by applying machine learning with training data that includes at least the virtual image set to a neural network.

A method of processing information, comprising:

• receiving an inference model created by applying, to a neural network, machine learning with training data that includes at least a virtual image set along a predetermined route arranged inside and/or outside a virtual building represented by building information modeling (BIM) data;
• extracting a feature from measured data of a building, by a processor configured to perform data processing using the inference model;
• and
• identifying data of a building material based on the feature, by the processor.