Back to results
US 12,682,416 B2Granted
Image processing apparatus, image processing method, and image processing program
AssigneeFUJIFILM Corporation
InventorHiroaki Kikuchi
Life of this patent
Estimating the term…
Abstract
In an aspect, an image processing apparatus includes a processor and a memory in which a plurality of images obtained by capturing images of a building and a three-dimensional model of the building are stored in association with each other. The processor is configured to perform a development process to perform development of the three-dimensional model into a two-dimensional image, an extraction process to extract defect information of the building on the basis of the plurality of images, a mapping process to perform mapping of the defect information to the two-dimensional image, and an output process to output the two-dimensional image to which the mapping is performed.
Claims14
An image processing apparatus comprising:
- a processor;
- and
- a memory in which a plurality of images obtained by capturing images of a building and a three-dimensional model of the building are stored in association with each other, wherein
- the processor is configured to:
- perform development of the three-dimensional model into a two-dimensional image;
- extract at least one of type of a defect, number of defects, size of a defect, degree of a defect, and change in degree of a defect over time as defect information of the building on the basis of the plurality of images;
- perform mapping of the defect information to the two-dimensional image;
- and
- output the two-dimensional image to which the mapping is performed,
- wherein the three-dimensional model is a three-dimensional surface model or a three-dimensional solid model,
- the processor is configured to perform the development by connecting or separating designated surfaces among surfaces constituting the three-dimensional surface model or the three-dimensional solid model along designated edges for a designated range of the three-dimensional surface model or the three-dimensional solid model, for a designated range of the three-dimensional surface model or the three-dimensional solid model,
- the processor is configured to receive designation of the edge for the development,
- the processor is configured to specify a member of the building using a learning machine configured by machine learning in which members constituting the three-dimensional model are given as correct labels,
- the processor is configured to extract the defect information using a learning machine configured by machine learning, and
- the processor is configured to associate the three-dimensional model with an actual scale by performing a comparison with a member having known dimensions or analyzing an image of the building which shows a scaler having a known dimension installed on the building.
12 more elements
An image processing method performed by an image processing apparatus comprising
- a processor, and
- a memory in which a plurality of images obtained by capturing images of a building and a three-dimensional model of the building are stored in association with each other,
- the image processing method causing the processor to perform a process including:
- a development step of developing the three-dimensional model into a two-dimensional image;
- an extraction step of extracting at least one of type of defect, number of defects, size of a defect, degree of a defect, and change of a defect over times as defect information of the building on the basis of the plurality of images;
- a mapping step of performing mapping of the defect information to the two-dimensional image;
- and
- an output step of outputting the two-dimensional image to which the mapping is performed,
- wherein the three-dimensional model is a three-dimensional surface model or a three-dimensional solid model,
- the processor is configured to perform the development by connecting or separating designated surfaces among surfaces constituting the three-dimensional surface model or the three-dimensional solid model along designated edges for a designated range of the three-dimensional surface model or the three-dimensional solid model, for a designated range of the three-dimensional surface model or the three-dimensional solid model,
- the processor is configured to receive designation of the edge for the development,
- the processor is configured to specify a member of the building using a learning machine configured by machine learning in which members constituting the three-dimensional model are given as correct labels,
- the processor is configured to extract the defect information using a learning machine configured by machine learning, and
- the processor is configured to associate the three-dimensional model with an actual scale by performing a comparison with a member having known dimensions or analyzing an image of the building which shows a scaler having a known dimension installed on the building.
11 more elements
Dependencies are inferred from the claim text.