JP7079926B2 - 3D image generation system - Google Patents

Description

The present invention relates to a technique for generating a three-dimensional image of a structure.

Structures such as concrete structures deteriorate over time, such as cracking and peeling. There is a technique for grasping the state of deterioration of a structure based on a photographed image of the structure. For example, Patent Document 1 describes a system for an expert who is away from the concrete structure to diagnose the deterioration state of the concrete structure based on an image of a concrete structure such as a bridge taken by an operator. Has been proposed.

Japanese Unexamined Patent Publication No. 2012-225889

In the case of the system described in Patent Document 1, the expert must diagnose the deterioration state of the structure based on a plurality of divided two-dimensional images, and specify which part of the structure each image is. It takes time to do this, and it is difficult to grasp the deterioration state of the entire structure.

On the other hand, a three-dimensional laser scanner or the like generates node data representing the three-dimensional shape of the entire structure with a plurality of points, and an optical camera generates texture data representing an image of the structure, and the node data. There is a system that displays an image in which the image represented by the texture data is superimposed on the three-dimensional shape represented by. According to this system, an expert can grasp the three-dimensional shape of the entire structure and easily identify the deteriorated portion of the structure and the deteriorated state of the structure.

However, since the node data is large-sized data representing a three-dimensional shape by the positions of a huge number of points, for example, tens of thousands to hundreds of millions, a lot of time and resources are required for processing.

In view of the above background, the present invention provides a means for the user to recognize the deteriorated portion of the structure without requiring a large amount of time and resources.

In order to solve the above-mentioned problems, the present invention has node data representing the three-dimensional shape of a structure at positions of a plurality of points, texture data representing an image of the structure, and a plurality of node data indicating positions. Shows the correspondence between the mesh and the partial image corresponding to the mesh in the image represented by the texture data for each of the meshes that are polygonal planes having a plurality of points adjacent to each other as vertices. An acquisition means for acquiring the first mapping data, and a plurality of geometric curved surfaces that approximate the three-dimensional shape represented by the node data, and a plurality of points adjacent to each other among the plurality of points are defined as vertices. With respect to the simplification means for identifying a number of curved surfaces smaller than the number of polygonal planes to be generated and generating mesh data representing the plurality of geometrical surfaces, and for each of the plurality of geometrical curved surfaces indicated by the mesh data. , A plurality of partial images corresponding to the curved surface are specified from the plurality of partial images represented by the texture data based on the first mapping data, and the plurality of partial images are joined together to form a new portion corresponding to the curved surface. Corresponding means for generating an image and generating a second mapping data showing the correspondence relationship between the new partial image and the curved surface, and the deteriorated portion of the structure are specified from the image represented by the texture data, and the said The specific means for generating the deteriorated region data indicating the region of the deteriorated portion using the texture data and the second mapping data, and the region indicated by the deteriorated region data in the three-dimensional shape image represented by the mesh data are represented. A three-dimensional image generation system including a generation means for generating an image on which images are superimposed is provided as a first aspect.

According to the three-dimensional image generation system of the first aspect, it is possible to make the user aware of the deteriorated portion of the structure without requiring a large amount of time and resources.

In the three-dimensional image generation system of the first aspect, the missing part of the three-dimensional shape is complemented based on the regularity of the three-dimensional shape represented by the mesh data generated by the simplification means, and the complemented three-dimensional shape is complemented. As the second aspect, the configuration is provided with a complementary means for generating mesh data representing the above, and the generating means uses the mesh data generated by the complementary means instead of the mesh data generated by the simplified means. May be done.

According to the three-dimensional image generation system of the second aspect, the user can recognize the three-dimensional shape of the structure having few missing portions.

In the three-dimensional image generation system of the first or second aspect, the generation means includes a determination means for determining the deterioration state of the deteriorated portion specified by the specific means, and the generation means is an image of the three-dimensional shape represented by the mesh data. In addition, a configuration in which an image showing the deterioration state is superimposed to generate an image may be adopted as the third aspect.

According to the three-dimensional image generation system of the third aspect, the user can be made aware of the deterioration state of the structure.

Further, in the present invention, the computer has node data representing the three-dimensional shape of the structure at the positions of a plurality of points, texture data representing the image of the structure, and a plurality of points at which the node data indicates the position. The first mapping showing the correspondence between the partial image which is the part corresponding to the mesh in the image represented by the texture data for each of the meshes which are polygonal planes having a plurality of points adjacent to each other as vertices. A process of acquiring data and a plurality of geometrical curved surfaces that approximate the three-dimensional shape represented by the node data, and a polygonal plane having a plurality of points adjacent to each other as vertices among the plurality of points. The first mapping data for each of the process of specifying a number of curved surfaces smaller than the number and generating mesh data representing the plurality of geometrical curved surfaces and each of the plurality of geometrical curved surfaces indicated by the mesh data. Among the plurality of partial images represented by the texture data, a plurality of partial images corresponding to the curved surface are specified, and the plurality of partial images are joined to generate a new partial image corresponding to the curved surface, and the texture is generated. The process of generating the deteriorated region data indicating the region of the deteriorated portion using the data and the second mapping data, and the deteriorated portion of the structure are specified from the image represented by the texture data, and the second mapping data. The process of generating the deteriorated area data indicating the area of the deteriorated portion based on the above, and the process of generating the image in which the image representing the area indicated by the deteriorated area data is superimposed on the three-dimensional shape image represented by the mesh data. A program for executing is provided as a fourth aspect.

According to the program of the fourth aspect, the computer can be used to make the user aware of the deteriorated portion of the structure without requiring a large amount of time and resources.

The figure which showed the hardware configuration of the 3D image generation system which concerns on one Embodiment. The figure which showed the functional structure of the data processing apparatus which concerns on one Embodiment. The figure which showed the appearance of the structure to be measured of the 3D image generation system which concerns on one Embodiment. The figure which showed the flow of processing of the data processing apparatus which concerns on one Embodiment. The figure which showed a part of the 3D shape of the structure represented by the node data generated by the 3D laser scanner provided in the 3D image generation system which concerns on 1 Embodiment. The figure which showed the plane which approximates the three-dimensional shape of FIG. 5 specified by the data processing apparatus which concerns on one Embodiment. The figure which showed a part of the three-dimensional shape represented by the pre-complementation mesh data generated by the data processing apparatus which concerns on one Embodiment. The figure which showed a part of the three-dimensional shape represented by the complemented mesh data generated by the data processing apparatus which concerns on one Embodiment. The figure which showed the image of a part of the structure represented by the texture data used by the data processing apparatus which concerns on one Embodiment. The figure which showed the deteriorated part specified from the image of FIG. 9 by the data processing apparatus which concerns on one Embodiment. The figure which showed the deterioration state which the data processing apparatus which concerns on one Embodiment determined from the image of FIG. The figure which showed the image displayed by the 3D image generation system which concerns on one Embodiment.

[Embodiment]
The three-dimensional image generation system 1 according to the embodiment of the present invention will be described below. FIG. 1 is a diagram schematically showing a hardware configuration of a three-dimensional image generation system 1. The three-dimensional image generation system 1 includes a computer 10, a display device 12, an operating device 13, and a three-dimensional laser scanner 14 connected to the computer 10.

The computer 10 includes a processor 101, a memory 102, and an interface 103. The processor 101 performs various data processing according to the program stored in the memory 102. The memory 102 stores various data such as a program executed by the processor 101. The interface 103 transfers data to the display device 12, the operating device 13, and the three-dimensional laser scanner 14. The data can be exchanged by the interface 103 by either a wired connection or a wireless connection.

The display device 12 displays an image. The operating device 13 accepts a user's operation on the computer 10.

The three-dimensional laser scanner 14 irradiates a large number of points on the surface of the object with laser light, measures the distances to each of the many points by the reflected light, and the third order of the object is based on the measured distances. Generate node data that represents the original shape at the positions of multiple points. Hereinafter, a triangular plane or a quadrilateral plane having a plurality of points adjacent to each other as vertices among a plurality of points whose node data indicates a position is referred to as a “pre-simplification mesh”.

Further, the three-dimensional laser scanner 14 has a digital camera and generates texture data representing an image of an object captured by the digital camera. Further, the three-dimensional laser scanner 14 performs a process (mapping process) for specifying a portion (hereinafter referred to as “partial image”) corresponding to each of the plurality of pre-simplified meshes in the image represented by the texture data. Generates mapping data showing the correspondence between the partial image and the pre-simplified mesh.

Hereinafter, data including node data, texture data, and mapping data generated by the three-dimensional laser scanner 14 is referred to as “textured high-density three-dimensional shape data”. The textured high-density 3D shape data represents the 3D shape of the object and its appearance.

The computer 10 functions as a data processing device 11 having the configuration shown in FIG. 2 by performing processing according to the program according to the present embodiment. That is, in the program according to the present embodiment, the computer 10 is equipped with the storage means 110, the acquisition means 111, the simplification means 112, the complementary means 113, the corresponding means 114, the specific means 115, the determination means 116, and the generation means described below. The process performed by 117 is executed.

The storage means 110 stores textured high-density three-dimensional shape data acquired from the three-dimensional laser scanner 14 by the data processing device 11 and various data generated by the data processing device 11. The storage means 110 is realized by a memory 102 that operates under the control of the processor 101.

The acquisition means 111 acquires textured high-density three-dimensional shape data from the three-dimensional laser scanner 14. The acquisition means 111 is realized by an interface 103 that operates under the control of the processor 101. The acquisition means 111 stores the textured high-density three-dimensional shape data in the storage means 110.

The simplification means 112 is a plurality of geometric curved surfaces that approximate the three-dimensional shape represented by the node data included in the textured high-density three-dimensional shape data stored in the storage means 110, and is represented by the node data. Identify a number of curved surfaces (hereinafter referred to as "post-simplification meshes") that are smaller than the number of pre-simplification meshes that make up the three-dimensional shape. In the present application, a geometric curved surface means a plane or a curved surface having a shape having a curvature that changes according to a predetermined rule. Examples of geometric curved surfaces include a plane, a side surface of a cylinder, an outer surface of a sphere, a side surface of a cone, and the like.

As a method for the simplification means 112 to identify the post-simplified mesh, for example, Tomohiro Mizoguchi, Hiroaki Date, Osamu Kanai, co-authored "Efficient Mesh Segmentation Using Region Growing / Merging" (Journal of Precision Engineering, Vol. 74, 7). No. 752-759, July 2008) can be adopted, but is not limited to the method including the following steps.

(Step 1) The principal curvature of the mesh vertex is calculated based on the repetition of the local quadratic polynomial curved surface fitting.
(Step 2) Initial segmentation is performed based on the principal curvature calculated in step 1. More specifically, the principal curvature of each vertex is first analyzed to generate a seed region consisting of a small set of connected vertices that are presumed to be on the curved surface instead of the boundary between the original curved surfaces. Next, using region glowing that uses both a quadric surface and a quadric surface, the surface fitting to the area and the addition of neighboring vertices to the seed area are performed repeatedly, and the partial area on the mesh and its approximation are analyzed. Extract a curved surface.
(Step 3) Using region merging, the initial regions are efficiently integrated so as to reduce the number of regions as much as possible within the threshold value specified by the user.

The simplification means 112 generates mesh data representing the three-dimensional shape of the object according to the shape, size, position, and direction of the plurality of simplified meshes, and stores the mesh data in the storage means 110.

The complement means 113 complements the missing portion of the three-dimensional shape based on the regularity of the three-dimensional shape represented by the mesh data generated by the simplification means 112, and generates mesh data representing the complemented three-dimensional shape. .. Hereinafter, the mesh data generated by the simplification means 112 is referred to as “pre-complementary mesh data”, and the mesh data generated by the complement means 113 is referred to as “post-complementary mesh data”.

The corresponding means 114 is based on the mapping data included in the textured high-density three-dimensional shape data for each of the plurality of simplified meshes indicated by the complemented mesh data, and the texture included in the textured high-density three-dimensional shape data. A plurality of partial images corresponding to the simplified mesh are specified from the plurality of partial images represented by the data, and the partial images are joined together to generate a new partial image corresponding to the simplified mesh.

The corresponding means 114 generates texture data representing a partial image corresponding to each of the plurality of simplified meshes and mapping data showing a correspondence relationship between the partial image and the simplified mesh, and stores it in the storage means 110. ..

Hereinafter, the data including the complemented mesh data and the texture data and the mapping data generated by the corresponding means 114 are referred to as “textured low-density three-dimensional shape data”. The textured low-density three-dimensional shape data represents the three-dimensional shape of the object and its appearance in the same manner as the textured high-density three-dimensional shape data, but the data size is smaller than that of the textured high-density three-dimensional shape data. Therefore, the load of the process using the textured low-density three-dimensional shape data (for example, the process of displaying the three-dimensional shape and the appearance of the object) is small, and therefore, a huge amount of time and resources are not required.

The specifying means 115 identifies the deteriorated portion (crack, peeling, etc.) of the object from the image represented by the texture data included in the textured low-density three-dimensional shape data, and obtains the deteriorated region data indicating the region of the specified deteriorated portion. It is stored in the storage means 110. As a method for specifying the deteriorated portion of the object by the specifying means 115, for example, an image analysis method using simple pattern matching can be adopted, but the method is not limited to this.

The determination means 116 determines the deterioration state of the deteriorated portion specified by the specific means 115, that is, the region of the object indicated by the deterioration region data, and stores the determination result data indicating the determination result in the storage means 110. As a method for determining the deterioration state by the determination means 116, for example, the length (in the case of cracks) and the area (in the case of peeling) of the deteriorated portion are calculated, and the calculated numerical values are compared with the threshold value to deteriorate. A method of specifying the degree of can be adopted, but is not limited to this.

The simplification means 112, the complement means 113, the corresponding means 114, the identification means 115, and the determination means 116 are realized by the processor 101.

The generation means 117 uses the complemented mesh data, the deteriorated region data, and the determination result data to display the deteriorated portion specified by the specific means 115 and the deterioration determined by the determination means 116 on the three-dimensional shape image represented by the complemented mesh data. An image in which an image showing a state is superimposed is generated, and image data representing the generated image is output to the display device 12. The generation means 117 is realized by a processor 101 and an interface 103 that operates under the control of the processor 101.

The flow of processing performed by the data processing apparatus 11 will be described below. In the following description, as an example, the data processing device 11 shall display on the display device 12 an image showing the three-dimensional shape, the deteriorated portion, and the deteriorated state of the structure 9 having the appearance as shown in FIG. ..

The structure 9 is a superstructure of the pier, and FIG. 3 is a view of the structure 9 from below. The structure 9 includes a plurality of beams 91 arranged in a grid pattern, a plurality of haunches 92 arranged at a connecting portion of three or four adjacent beams 91, and a plurality of haunches 92 surrounded by beams 91 on all sides. Floor slab 93 is included. The structure 9 is made of reinforced concrete, for example, and may have a cracked or peeled portion (deteriorated portion).

The region A in FIG. 3 is a region (missing portion) in which the distance is not measured and the image is not taken by the three-dimensional laser scanner 14 due to the influence of an obstacle or the like.

FIG. 4 is a diagram showing a processing flow of the data processing device 11. First, the acquisition means 111 acquires textured high-density three-dimensional shape data of the structure 9 from the three-dimensional laser scanner 14 (step S01).

FIG. 5 is a diagram schematically showing a three-dimensional shape of a part of the deck 93 of the structure 9 represented by the node data included in the textured high-density three-dimensional shape data. In FIG. 5, the vertices of many triangles are the points indicated by the node data. As shown in FIG. 5, the three-dimensional shape indicated by the node data generated by measuring the bottom surface of the deck 93 by the three-dimensional laser scanner 14 is affected by fine irregularities and measurement errors originally on the surface of the deck 93. Received, it is not flat.

Subsequently, the simplification means 112 generates pre-complementary mesh data for the structure 9 using the node data included in the textured high-density three-dimensional shape data acquired in step S01 (FIG. 4, step S02). ..

FIG. 6 is a diagram showing a curved surface specified by the simplification means 112, which approximates the three-dimensional shape shown in FIG. In this case, the simplification means 112 specifies one plane as a curved surface that approximates the three-dimensional shape represented by the node data shown in FIG. The simplification means 112 performs the same processing in all areas of the three-dimensional shape of the structure 9 represented by the node data, and generates pre-complementary mesh data representing the entire three-dimensional shape of the structure 9.

FIG. 7 is a diagram showing a part of the three-dimensional shape of the structure 9 represented by the pre-complementary mesh data generated by the simplification means 112. The three-dimensional shape shown in FIG. 7 is a simplified shape excluding fine irregularities and the like included in the three-dimensional shape shown in FIG.

Subsequently, the complement means 113 generates post-complement mesh data representing the entire three-dimensional shape of the structure 9 that complements the missing portion based on the regularity in the three-dimensional shape represented by the pre-complement mesh data generated in step S02. (FIG. 4, step S03).

FIG. 8 is a diagram showing a part of the three-dimensional shape of the structure 9 represented by the complemented mesh data generated by the complementing means 113.

Subsequently, the corresponding means 114 uses the texture data and the mapping data included in the textured high-density three-dimensional shape data, and the portion corresponding to each of the plurality of meshes indicated by the complemented mesh data generated in step S03. New texture data representing the image and new mapping data showing the correspondence between the mesh and the partial image are generated (FIG. 4, step S04). The new texture data and mapping data generated in step S04 together with the complemented mesh data constitute textured low-density three-dimensional shape data.

Subsequently, the specifying means 115 identifies the deteriorated portion of the structure 9 by using the texture data and the mapping data generated in step S04, and generates the deteriorated region data indicating the region of the specified deteriorated portion (step S05). ).

FIG. 9 is a diagram schematically showing an image of a part of the structure 9 represented by the texture data generated in step S04. The image shown in FIG. 9 includes an image of a cracked portion (left side) and an image of a portion of concrete peeled off (right side).

FIG. 10 is a diagram showing a deteriorated portion specified by the specifying means 115 from the image of FIG. The region B in FIG. 10 shows the deteriorated portion where the crack is generated, and the region C shows the deteriorated portion where the peeling occurs.

Subsequently, the determination means 116 determines the deterioration state in the deteriorated portion of the structure 9 by using the texture data generated in step S04 and the deterioration region data generated in step S05, and the determination result showing the determination result. Data is generated (FIG. 4, step S06).

FIG. 11 is a diagram showing the deterioration state determined by the determination means 116 from the image of FIG. 9 by the display mode of the deteriorated portion.

Subsequently, the generation means 117 generates an image in which the region indicated by the deteriorated region data is superimposed on the image of the three-dimensional shape represented by the complemented mesh data in a display mode according to the deterioration state indicated by the determination result data. , The image is displayed on the display device 12 (FIG. 4, step S07).

FIG. 12 is a diagram schematically showing an image displayed by the display device 12 in response to the process of step S07. The user can easily know the state of deterioration of the structure 9 by looking at the image displayed on the display device 12.

[Modification example]
The embodiments described above may be variously modified under the technical idea of the present invention. An example of these variations is shown below.

(1) In the above-described embodiment, there is a missing portion in the three-dimensional shape of the structure 9 represented by the textured high-density three-dimensional shape data, and the complementing means 113 complements the missing portion. If there is no missing part in the three-dimensional shape of the structure 9 represented by the textured high-density three-dimensional shape data, or if there is no inconvenience even if there is a missing part, the three-dimensional image generation system 1 is provided with the complementary means 113. It does not have to be. In this case, the generation means 117 uses the pre-complementary mesh data instead of the post-complementary mesh data to generate an image representing the three-dimensional shape of the structure 9.

(2) In the above-described embodiment, the node data included in the textured high-density three-dimensional shape data is generated by the three-dimensional laser scanner 14, but the method for generating the node data is not limited to this. For example, instead of the 3D laser scanner 14, the 3D image generation system 1 acquires images of the object taken from a plurality of directions and uses those images to specify the 3D shape of the object SfM (Shape). A data processing device that generates node data by a method called from Motion, Structure from Motion) may be provided.

(3) In the above-described embodiment, the data processing device 11 includes the specifying means 115 and the determining means 116. Instead of this, the data processing device 11 may include a specific means for simultaneously specifying the deteriorated portion of the object and the deteriorated state in the deteriorated portion. For example, the data processing device 11 has artificial intelligence subjected to machine learning using an image of an object classified according to the deterioration state as teacher data, and is included in the image represented by the texture data by the artificial intelligence. A specific means for simultaneously identifying the deteriorated portion and determining the deteriorated state in the identified deteriorated portion may be provided.

(4) In the above-described embodiment, the data processing device 11 is configured as one device. Instead of this, the data processing device 11 may be configured by a plurality of devices that transmit and receive data to each other. In this case, the storage means 110, the acquisition means 111, the simplification means 112, the complement means 113, the corresponding means 114, the identification means 115, the determination means 116, and the generation means 117 included in the data processing device 11 constitute the data processing device 11. It may be arranged in any of a plurality of devices.

(5) In the above-described embodiment, the deteriorated state is distinguished by the display mode of the deteriorated portion. The method by which the three-dimensional image generation system 1 indicates the deteriorated state of the structure 9 is not limited to this. May be adopted.

(6) In the above-described embodiment, the hardware of the data processing device 11 is a computer, and the processor 101 executes a process according to the program to realize a device having the configuration shown in FIG. Instead of this, the data processing device 11 may be configured as a dedicated device having the configuration shown in FIG.

1 ... 3D image generation system, 9 ... Structure, 10 ... Computer, 11 ... Data processing device, 12 ... Display device, 13 ... Operation device, 14 ... 3D laser scanner, 91 ... Beam, 92 ... Haunch, 93 ... Floor slab, 101 ... Processor, 102 ... Memory, 103 ... Interface, 110 ... Storage means, 111 ... Acquisition means, 112 ... Simplification means, 113 ... Complementary means, 114 ... Corresponding means, 115 ... Specific means, 116 ... Judgment Means 117 ... Generation means.

Claims (4)

Node data representing the three-dimensional shape of the structure at the positions of a plurality of points, texture data representing the image of the structure, and a plurality of points adjacent to each other among the plurality of points indicating the positions of the node data as vertices. An acquisition means for acquiring a partial image which is a part corresponding to the mesh in the image represented by the texture data for each of the meshes which are polygonal planes and a first mapping data showing a correspondence relationship between the mesh and the mesh .
Specify a plurality of geometrical curved surfaces that approximate the three-dimensional shape represented by the node data, and the number of curved surfaces is smaller than the number of polygonal planes having a plurality of adjacent points as vertices among the plurality of points. And a simplification means to generate mesh data representing the plurality of geometric curved surfaces,
With respect to each of the plurality of geometrical curved surfaces shown by the mesh data, a plurality of partial images corresponding to the curved surface are specified among the plurality of partial images represented by the texture data based on the first mapping data, and the plurality of partial images are specified. To generate a new partial image corresponding to the curved surface by joining the partial images of the above, and to generate a second mapping data showing the correspondence relationship between the new partial image and the curved surface, and a corresponding means.
A specific means for identifying a deteriorated portion of the structure from an image represented by the texture data and generating deterioration region data indicating a region of the deteriorated portion using the texture data and the second mapping data .
A three-dimensional image generation system including a generation means for generating an image in which an image representing a region indicated by the deteriorated region data is superimposed on an image having a three-dimensional shape represented by the mesh data. A complementing means for complementing a missing portion of the three-dimensional shape based on the regularity of the three-dimensional shape represented by the mesh data generated by the simplification means and generating mesh data representing the complemented three-dimensional shape is provided.
The three-dimensional image generation system according to claim 1, wherein the generation means uses the mesh data generated by the complement means instead of the mesh data generated by the simplification means. A determination means for determining the deterioration state of the deteriorated portion specified by the specific means is provided.
The three-dimensional image generation system according to claim 1 or 2, wherein the generation means generates an image in which an image showing the deterioration state is superimposed on an image having a three-dimensional shape represented by the mesh data. On the computer
Node data representing the three-dimensional shape of the structure at the positions of a plurality of points, texture data representing the image of the structure, and a plurality of points adjacent to each other among the plurality of points indicating the positions of the node data as vertices. A process of acquiring a partial image which is a part corresponding to the mesh in the image represented by the texture data for each of the meshes which are polygonal planes, and a first mapping data showing a correspondence relationship between the mesh and the mesh .
Specify a plurality of geometrical curved surfaces that approximate the three-dimensional shape represented by the node data, and the number of curved surfaces is smaller than the number of polygonal planes having a plurality of adjacent points as vertices among the plurality of points. Then, the process of generating mesh data representing the plurality of geometrical curved surfaces, and
With respect to each of the plurality of geometrical curved surfaces shown by the mesh data, a plurality of partial images corresponding to the curved surface are specified among the plurality of partial images represented by the texture data based on the first mapping data, and the plurality of partial images are specified. A process of connecting the partial images of the above to generate a new partial image corresponding to the curved surface, and generating a second mapping data showing the correspondence relationship between the new partial image and the curved surface.
A process of identifying a deteriorated portion of the structure from an image represented by the texture data and using the texture data and the second mapping data to generate deterioration region data indicating a region of the deteriorated portion .
A program for executing a process of generating an image in which an image representing a region indicated by the deteriorated region data is superimposed on an image having a three-dimensional shape represented by the mesh data.

Images