JP2022171259A - Three dimensional modeling support device and three dimensional modeling support method and three dimensional modeling support program - Google Patents

Abstract

To provide a three-dimensional modeling support device that by combining high-accuracy three-dimensional model with basic map data of a map tool the wide data of which is appropriately updated, various simulations can be conducted effectively and efficiently.SOLUTION: A three-dimensional modeling support device 1 for generating a three-dimensional high-accuracy prospect from a point targeted for examination comprises a basic data acquisition part 31 that acquires three-dimensional basic map data, an extraction reference generation part 32 that generates a criterion for extracting a replace object that replaces the basic map data with a high-accuracy three-dimensional model centering the point targeted for examination, and a display control part 5 that displays the criterion generated by the extraction reference generation part overlapped with the basic map data. Here, the criterion is set to a near view range of an intermediate view from the point targeted for examination.SELECTED DRAWING: Figure 1

Description

The present invention relates to a three-dimensional modeling support device, a three-dimensional modeling support method, and a three-dimensional modeling support program for generating a three-dimensional high-precision view from a point of interest.

A map tool such as Google Earth (registered trademark) is public data that updates a wide range of data as appropriate, and is effective for use according to the purpose. For example, Patent Literature 1 discloses a technology for generating day and night landscape information that can be seen from a window of a property, and for displaying an image or video of a view that can actually be seen outside the building with the viewpoint inside the building. Scenery information is obtained from a scene generation service on the Internet.

Further, Patent Literature 2 discloses an architectural design simulation device capable of automatically generating images from a plurality of viewpoints of the inside or outside of a condominium. By using this device and specifying the viewpoint based on the extraction results, it is possible to know in advance the view from the room you wish to purchase through a simulation.

Japanese Unexamined Patent Application Publication No. 2018-81548 Japanese Patent Application Laid-Open No. 2002-318821 Japanese Patent Application Publication No. 2018-522297 Japanese Patent Application Publication No. 2018-517952

However, such map tool data has no correlation with distance and has low accuracy as data representing shape. On the other hand, as disclosed in Patent Documents 3 and 4, the existence of high-precision 3D models such as BIM (Building Information Modeling), which creates a high-precision 3D digital model of a building on a computer. It has been known.

Therefore, the present invention is a 3D modeling support that enables effective and efficient various simulations by combining a high-precision 3D model with the basic map data of a map tool whose wide range of data is updated as appropriate. An object of the present invention is to provide an apparatus, a three-dimensional modeling support method, and a three-dimensional modeling support program.

In order to achieve the above object, a three-dimensional modeling support device of the present invention is a three-dimensional modeling support device for generating a three-dimensional high-precision view from a point of interest, which is a high-precision three-dimensional view. A basic data acquisition unit that acquires three-dimensional basic map data before arranging a dimensional model, and a determination criterion for extracting a replacement object to be replaced with a high-precision three-dimensional model centered on the examination target point is generated. and a display control unit that superimposes and displays the criteria generated by the extraction criteria generator on the basic map data, wherein the criteria are a near-sighted range and an intermediate view range from the study point. It is characterized in that it is set with respect to the view range.

Here, the criterion can be composed of a cylindrical foreground extraction part and an inverted cone-shaped middle background extraction part. Further, it is possible to have a configuration including a replacement object specifying unit that determines the replacement object, and a position adjustment unit that aligns the high-precision three-dimensional model of the replacement object with the basic map data. .

In addition, the invention of the three-dimensional modeling support method is a three-dimensional modeling support method for generating a three-dimensional high-precision view from a point of interest, a step of obtaining three-dimensional basic map data and outputting it to a display device; generating a criterion for extracting a replacement target object to be replaced with a high-precision three-dimensional model centering on the point to be considered; and causing the apparatus to display the base map data superimposed on the base map data, wherein the determination criteria are displayed for a near-distance range and a mid-distance range from the study point. Here, the configuration may include a step of aligning the high-precision three-dimensional model of the replacement object with the basic map data.

Furthermore, the invention of the three-dimensional modeling support program is a three-dimensional modeling support program for generating a three-dimensional high-precision view from a point of interest, A procedure for acquiring three-dimensional basic map data and outputting it to a display device, and generating a criterion for extracting a replacement target object to be replaced with a high-precision three-dimensional model centering on the point to be studied, and displaying it. and causing the apparatus to superimpose and display the basic map data, and causing the computer to execute processing for displaying the determination criteria in the foreground range and mid-range from the study point.

The three-dimensional modeling support device of the present invention configured as described above includes a basic data acquisition unit for acquiring three-dimensional basic map data of a map tool, and an extraction criterion generation unit for generating the judgment criterion of. Then, the display control unit causes the determination criteria generated by the extraction criteria generation unit to be displayed superimposed on the basic map data. Also, this criterion is set for the foreground range and mid-range from the point of interest.

In this way, by using a high-precision 3D model together with the basic map data, which is easy to use and whose wide range of data is updated as appropriate, high-precision 3D models can be obtained that are more accurate than when only the basic map data is used. Effective and efficient various simulations can be performed with less load than when using only a dimensional model.

In addition, by providing a position adjustment unit that determines a replacement target object to be replaced with a high-precision three-dimensional model and aligns the high-precision three-dimensional model of the replacement target object with the basic map data, the basic map data and the It becomes possible to rationally integrate high-precision three-dimensional models.

Furthermore, regarding the invention of the 3D modeling support method and the invention of the 3D modeling support program, it is possible to carry out various effective and efficient simulations by combining basic map data with high-precision 3D models. .

1 is a block diagram for explaining the configuration of a three-dimensional modeling support device according to this embodiment; FIG. 4 is a flow chart for explaining the flow of processing of a three-dimensional modeling support method according to the present embodiment; FIG. 4 is an explanatory diagram conceptually showing a range to be replaced with a high-precision three-dimensional model; FIG. 4 is an explanatory diagram showing the relationship between a target building and middle/close range on a two-dimensional map; Fig. 10 is a flowchart for explaining the flow of processing for determining a range to be replaced with a high-precision three-dimensional model; FIG. 10 is an explanatory diagram showing a cross section of a criterion for extracting a replacement object; FIG. 10 is an explanatory diagram showing three-dimensionally determination criteria for extracting a replacement object; FIG. 10 is an explanatory diagram showing an example of displaying the determination criteria superimposed on the basic map data; FIG. 4 is an explanatory diagram conceptually showing a method of aligning a high-precision three-dimensional model and basic map data; FIG. 10 is a flowchart for explaining the flow of registration processing between a high-precision three-dimensional model and basic map data; FIG. FIG. 10 is an explanatory diagram showing directions in which buildings are rotated when alignment is performed; FIG. 10 is an explanatory diagram conceptually showing an adjustment method A for alignment. FIG. 10 is an explanatory diagram conceptually showing an adjustment method B when performing alignment; FIG. 10 is an explanatory diagram conceptually showing an adjustment method C when performing alignment;

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram illustrating the configuration of a three-dimensional modeling support device 1 according to this embodiment. FIG. 2 is a flow chart for explaining the processing flow of the three-dimensional modeling support method and three-dimensional modeling support program according to this embodiment.

The three-dimensional modeling support device 1 of this embodiment is a device for generating a three-dimensional high-precision view from a point of interest. For example, in order to generate a view from the rooftop and each floor of the target building to be constructed at the target point, we support the creation of a 3D model of the buildings around the target point (surrounding buildings) with the desired accuracy. It is a device.

As shown in FIG. 1, the three-dimensional modeling support device 1 of the present embodiment uses a basic map database 21 that stores three-dimensional basic map data. The basic map data is 3D map data of a map tool that appropriately updates a wide range of data such as Google Earth (registered trademark) and 3D map data (Zenrin Co., Ltd.).

Basic map data usually does not have numerical information for creating an accurate three-dimensional model of a building or the like. Also, since the basic map data does not need to be highly accurate, it is sufficient to use data that is easily available as public data.

On the other hand, a high-precision three-dimensional model is data of a digital model of a building or the like that is created with high precision and has three-dimensional numerical information such as BIM (Building Information Modeling). Not all buildings can be obtained from the high-precision 3D database 22 that stores high-precision 3D models. Even the availability of a dimensional model can contribute to the generation of high-precision views in three dimensions.

The three-dimensional modeling support device 1 of the present embodiment, which uses the basic map database 21 and the high-precision three-dimensional database 22, includes an arithmetic processing unit 3, a storage unit 4, a display control unit 5, and a display such as a display. a device 6;

The arithmetic processing unit 3 includes a basic data acquisition unit 31 for acquiring three-dimensional basic map data, an extraction reference generation unit 32 for extracting a replacement object to be replaced with a highly accurate three-dimensional model, and a replacement object and a position adjustment unit 34 that aligns the high-precision three-dimensional model of the replacement object with the basic map data.

The extraction criterion generation unit 32 generates determination criteria in order to extract a replacement object to be replaced with a high-precision three-dimensional model, centering on the study target point (target building). Details of the determination criteria will be described later.

In the replacement object identification unit 33, while considering the possibility and necessity of replacement, such as the presence of data in the high-precision three-dimensional database 22, from among the replacement objects extracted based on the judgment criteria, finally A replacement object to be replaced with a high-precision three-dimensional model is determined.

On the other hand, the position adjustment unit 34 performs position adjustment necessary when arranging the specified high-precision three-dimensional model of the object to be replaced on the basic map data. Details of the position adjustment will be described later.

The display control unit 5 connected to the arithmetic processing unit 3 controls the display device 6 to display the basic map data, the judgment criteria, the high-precision three-dimensional model, and the like, and to display them in an overlapping manner. .

On the other hand, the storage unit 4 is a storage medium for recording data generated during processing in the arithmetic processing unit 3 and data necessary for arithmetic processing, and corresponds to a hard disk, a flash memory, a magnetic disk, an optical disk, and the like. A cloud server can also be used as the storage unit 4 .

Details of the criteria for extracting replacement objects to be replaced with high-precision three-dimensional models will be described below. FIG. 3 is a diagram for explaining a range to be replaced with a high-precision three-dimensional model.

The three-dimensional modeling support device 1 of the present embodiment efficiently utilizes a wide range of basic map data that is appropriately updated. Create and place a 3D model with On the other hand, for distant areas where there is no problem even if the accuracy is low, by using the 3D basic map data as it is, we can reduce the burden of acquiring and updating the 3D model and the computational load during simulation. to

Specifically, as shown in FIG. 4, a high-precision three-dimensional model is placed in the mid- and near-sighted range of a radius of X m, which is the foreground and mid-range, with the target building at the center, and the area outside it is For , the basic map data is used as is.

FIG. 5 is a flowchart for explaining the flow of processing for determining the range to be replaced with a high-precision three-dimensional model. FIG. 6 is an explanatory diagram showing a section of a criterion J for extracting a replacement object to be replaced with a high-precision three-dimensional model.

In the three-dimensional modeling support device 1 of the present embodiment, by determining the creation range of the high-precision three-dimensional model along the flow, not only can it be used for view simulation, but also the minimum range that can be used for environmental analysis. Models can be created. Outside the range required for environmental analysis, it is possible to shorten the model creation time of the view simulation by using the three-dimensional model of the basic map data.

First, in step S11, a range A is set as a range required for the view simulation. The viewing range A can be derived, firstly, in terms of the distance at which humans can visually recognize it. According to Osamu Shinohara, a Ph.D. in engineering at the University of Tokyo, in a paper titled "Fundamental Research on Landscape Design," the so-called near-field distance at which humans visually recognize an object is defined as up to 340m. From here, an area with a radius of 340m centered on the target building can be set as the foreground range.

Secondly, as an index of horizontal distance for objectively recognizing landscapes, ``Aesthetics of Townscapes'' (Yoshinobu Ashihara, Iwanami Gendai Bunko, April 16, 2001) shows that humans group buildings together when overlooking cityscapes. There is a description that it is possible to see from the viewpoint to a horizontal distance of three times the height of the building from the elevation angle that can be seen.

Therefore, an area that is three times the height of the surrounding buildings is added as the range A of the view simulation. Surrounding buildings are buildings that exist around the target building. In other words, even if the building is located in the mid-range from the target building, it is better to replace it with a high-precision three-dimensional model if the height of the building is high. Therefore, a range A with a radius of 340 m centered on the target building and a distance three times the height of surrounding buildings is first set as a range to be replaced with a high-precision three-dimensional model.

Subsequently, in step S12, it is determined whether or not to perform a shadow simulation. When the target building is a mid-to-high-rise building, disclosure of the plan is obligatory, and explanations of the layout, plan/elevation, and shade map are often requested at the residents' briefings. Therefore, we will add the viewpoint of the range required for explanation to local residents before the start of construction, which usually requires consideration of shade.

If the shadow verification is to be performed, the process proceeds to step S13. According to "Architectural Application Memo 2020" (Shin Nihon Hoken Architectural Application Practical Study Group), the horizontal distance from the outer wall of the planned building (target building) is 2 of its height. A distance of twice the height of the building is required. For this reason, this numerical value can be used as a reference when adopting the shadow simulation. Therefore, an area that is twice the height of the target building is set as range B.

Furthermore, in step S14, it is determined whether or not to perform an airflow simulation. Then, when the airflow verification is performed, the process proceeds to step S15. According to "Basic Knowledge of Building Wind" (Wind Engineering Research Institute, Kashima Publishing, 2005.11.23), the range in which wind speed increases in building construction is 1 to 2 times the height of the building. When creating a model for experiments, model a range of 2 to 4 times larger than that.

From this, it can be determined that sufficient verification results can be obtained by securing at least a distance that is twice the minimum value even when performing a three-dimensional airflow simulation. Therefore, an area three times the height of the target building is set as a range C that needs to be modeled during the wind tunnel experiment.

Then, in step S16, the range having the maximum value is selected from the ranges (A, B, C) set up to this step, and determination for extracting the replacement object based on that range is performed. Generate criteria.

For example, as shown in FIG. 6, let H ₀ be the height of the target building, H be the highest height of surrounding buildings, and h be the height of the human eye. Here, the viewing angle at which humans can recognize objects is said to be 60°. Also, as mentioned above, the elevation angle that can capture the cityscape as a group is 18° (horizontal distance of three times the height of the building from the viewpoint).

Therefore, the foreground extraction unit J1 for setting the maximum value from the view simulation range A, the shadow simulation range B, and the airflow simulation range C as the foreground range from the target building (study target point). Set as the distance a to represent.

Furthermore, three times the maximum height H of the surrounding buildings is set as the distance b representing the middle background extraction part J2 for setting the middle background range from the target building (study target point). FIG. 7 is a three-dimensional explanatory diagram showing the determination criteria J for extracting the replacement object generated in this way.

The determination criteria J set in this way are such that the foreground extraction portion J1 is formed in a cylindrical shape, and the middle background extraction portion J2 is formed in an inverted conical shape. FIG. 8 is an explanatory diagram showing an example in which the determination criteria J are superimposed on the basic map data BM.

As shown in this figure, all buildings of the basic map data BM that fall within the range of the foreground extraction unit J1 are candidates for replacement objects to be replaced with high-precision three-dimensional models. On the other hand, in the range of the middle background extraction part J2, only the buildings in the basic map data BM that project upward from the inverted cone-shaped criterion J are candidates for replacement objects to be replaced with the high-precision three-dimensional model.

Next, the processing flow of the three-dimensional modeling support method and three-dimensional modeling support program of this embodiment will be described with reference to FIG.
First, in step S<b>1 , the basic map data is acquired from the basic map database 21 by the basic data acquisition unit 31 .

Subsequently, in step S2, the extraction criterion generation unit 32 sets a criterion J for extracting a replacement object to be replaced with a high-precision three-dimensional model centering on the point of consideration from among the buildings existing in the basic map data. Do the process to generate. As described above, the criterion J is generated in a shape combining a cylindrical shape and an inverted conical shape as shown in FIG. 7 based on the range determined by the flow shown in FIG.

In step S3, the determination criterion J is output to the display device 6 superimposed on the basic map data (see FIG. 8). Here, the building interfering with the foreground extraction part J1 and the building interfering with the middle background extraction part J2 are automatically extracted by the replacement object specifying part 33 as replacement object candidates (step S4). It is also possible to manually extract candidates for replacement objects while visually confirming interference between buildings on the basic map data displayed on the display device 6 and the criteria J. FIG.

Here, it is not always the case that data corresponding to all buildings automatically extracted by the interference check of the replacement object identification unit 33 is stored in the high-accuracy three-dimensional database 22 . In addition, as the number of buildings to be replaced with high-precision three-dimensional models as objects to be replaced increases, the amount of data increases, which affects the mobility of subsequent simulations.

Therefore, the replacement target object to be replaced with the high-precision three-dimensional model is selected by the replacement object identifying unit 33, and the determined high-precision three-dimensional model of the replacement target is retrieved from the high-precision three-dimensional database 22 (step S5).

Here, the map data stored in the basic map database 21 is created based on coordinates such as altitude, latitude and longitude, and azimuth on the globe. On the other hand, building data stored in the high-precision three-dimensional database 22 such as BIM is created in the metric system. For this reason, it is not easy to adjust the latitude and longitude to match the position of the high-precision three-dimensional model created in the metric system on the basic map data BM, and a function to support position adjustment is required.

Therefore, the details of the position adjustment performed by the position adjustment unit 34 when arranging the high-precision three-dimensional model of the replacement object on the basic map data will be described below. First, FIG. 9 is an explanatory diagram conceptually showing a method of aligning the high-precision three-dimensional model HM and the basic map data BM.

In other words, even if the high-precision three-dimensional model HM and the basic map data BM are integrated as they are, they cannot be completely matched, so it is necessary to adjust the positions in some way. Specifically, the description will be made with reference to the flow chart of FIG. 10 showing the flow of registration processing between the high-precision three-dimensional model and the basic map data.

First, in step S21, the high-precision three-dimensional model selected by the replacement item specifying unit 33 is placed as it is on the basic map data. As shown in FIG. 11, the rotation of the high-precision three-dimensional model performed during alignment is performed only about the Z-axis and not about the X-axis or the Y-axis.

Then, in step S22, a building for which position adjustment is to be performed and a position adjustment method are determined. Position adjustment is performed using buildings and the like (including objects that serve as structures and landmarks) that exist in both the basic map data BM and the high-precision three-dimensional model HM. Although several adjustment methods are conceivable, three adjustment methods, adjustment method A, adjustment method B, and adjustment method C, will be described below.

FIG. 12 is a diagram conceptually explaining the adjustment method A, which is step S231. In adjustment method A, the optimal solution that maximizes the overlapping ratio of the volume of one or more selected buildings is found, and the position, orientation (orientation), and height of the high-precision three-dimensional model are determined.

In FIG. 12, solids whose volumes overlap the most at a rate of 96% are detected, and the positions, heights, and orientation rotation angles of the entire high-precision three-dimensional model HM are matched with the basic map data BM. Next, the three-dimensional objects that overlap the most in volume are matched in the same manner. Then, the adjustment is performed until the overlapping ratios of all three-dimensional bodies are almost the same.

In addition, in the adjustment method B, which is step S232, as shown in FIG. 13, the positions of the centers of gravity GP of three or more selected buildings are taken, and an optimum A solution is found to determine the position, orientation (azimuth) and height to place the high precision 3D model.

Specifically, the position where the triangle created on the basic map data BM and the triangle created on the high-precision three-dimensional model HM overlap the most is extracted, and the high-precision three-dimensional model of the building whose position is to be adjusted is extracted at that position. Place the model. If the target building is a building scheduled to be constructed, it does not exist on the basic map data BM, so it will be arranged by this method. Here, the placement error can be reduced by increasing the size of the triangle.

Furthermore, FIG. 14 is a diagram conceptually explaining the adjustment method C, which is step S233. In adjustment method C, four or more coordinates of the corner points AP of one or more selected buildings are taken, and the optimal solution with the smallest difference between the coordinates is found to determine the position and orientation of the high-precision three-dimensional model. Determine (azimuth) and height. It should be noted that the more buildings are selected, the more accurate the alignment will be.

Specifically, four corner points AP are taken from the building of the basic map data BM, and four corner points AP are also taken from the building of the high-precision three-dimensional model HM, and the difference between their coordinates is minimized. Integrate at the optimum location. At this time, the inclination angle of the building is not taken into consideration, and the building is assumed to be vertical.

In step S24, it is determined whether or not the position adjustment by the executed adjustment method was appropriate. If it is within the allowable range, the position adjustment process is terminated. Select the adjustment method and redo the position adjustment.

After the above-described alignment is performed in step S6, in step S7, the display device 6 displays a three-dimensional model obtained by replacing the replacement object of the basic map data BM with a high-precision three-dimensional model.

Then, in step S8, an arbitrary height of the target building to be constructed at the study target point is selected as a viewpoint, and a three-dimensional high-precision view from the desired height is generated as a view simulation.

Next, the operation of the three-dimensional modeling support device 1, the three-dimensional modeling support method, and the three-dimensional modeling support program of this embodiment will be described.
The three-dimensional modeling support device 1 of the present embodiment configured as described above includes a basic data acquisition unit 31 for acquiring three-dimensional basic map data of a map tool, and a replacement target object to be replaced with a high-precision three-dimensional model. and an extraction criterion generator 32 for generating a criterion J for extraction.

Then, the display control unit 5 causes the determination criterion J generated by the extraction criterion generation unit 32 to be superimposed on the basic map data and displayed. The criterion J is composed of a foreground extraction unit J1 for setting a foreground range and a middle-ground extraction unit J2 for setting a middle-ground range from the target building (study target point).

In this way, by combining a high-precision 3D model with the basic map data in which a wide range of data is updated as appropriate, the accuracy is higher than when using only the basic map data, and only the high-precision 3D model can be used. Effective and efficient various simulations can be performed with less load than when doing.

In short, it is possible to perform a view simulation with only 3D basic map data, but because the accuracy is insufficient in the range of the foreground area and the middle area, the sense of distance to the building adjacent to the target building and the target building The shape and height of the building seen from the outside will be different from the actual result, and accurate examination will not be possible.

On the other hand, by simply replacing several surrounding buildings in the foreground range and mid-range with the target building at the center with high-precision 3D models, the sense of distance to adjacent buildings and the building that can be seen well from the target building can be improved. The shape and height of the can be simulated with a view that is close to the actual state, and accurate examination is possible.

Further, by providing a position adjustment unit 34 that determines a replacement object to be replaced with the high-precision three-dimensional model and aligns the high-precision three-dimensional model HM of the replacement object with the basic map data BM, the basic map data BM and high-precision three-dimensional model HM can be rationally integrated.

Furthermore, with regard to the three-dimensional modeling support method and three-dimensional modeling support program of the present embodiment, by combining the basic map data BM with the high-precision three-dimensional model HM, various effective and efficient simulations can be performed. become.

Although the embodiment of the present invention has been described in detail with reference to the drawings, the specific configuration is not limited to this embodiment. Included in the invention.

For example, in the above-described embodiment, a case has been described in which the criterion J formed by the foreground extraction part J1 formed in a cylindrical shape and the middle background extraction part J2 formed in an inverted cone shape is used. The object to be replaced can also be extracted according to criteria for the foreground range and the middle-range range that are set based on other knowledge.

Further, in the above-described embodiment, the position adjustment unit 34 performs position adjustment between the basic map data BM and the high-precision three-dimensional model HM. If the HM has position information, it can be arranged on the basic map data BM only with the position information.

1: Three-dimensional modeling support device 31: Basic data acquisition unit 32: Extraction criterion generation unit 33: Substitution identification unit 34: Position adjustment unit 5: Display control unit 6: Display device BM: Basic map data HM: High precision 3 Dimensional model J: Judgment criteria J1: Foreground extraction part J2: Middle background extraction part

Claims (6)

A three-dimensional modeling support device for generating a three-dimensional high-precision view from a point of interest,
a basic data acquisition unit that acquires 3D basic map data before arranging a highly accurate 3D model;
an extraction criterion generation unit for generating a criterion for extracting a replacement target object to be replaced with a highly accurate three-dimensional model centered on the study target point;
a display control unit for displaying the determination criteria generated by the extraction criteria generation unit superimposed on the basic map data;
The three-dimensional modeling support device, wherein the criterion is set for a near-distance range and an intermediate-distance range from the point of consideration. 2. The three-dimensional modeling support device according to claim 1, wherein the criterion is composed of a cylindrical foreground extraction part and an inverted cone-shaped middle background extraction part. a substitute identification unit that determines the substitute object;
3. The three-dimensional modeling support device according to claim 1, further comprising a position adjusting unit that aligns the high-precision three-dimensional model of the object to be replaced with the basic map data. A three-dimensional modeling support method for generating a three-dimensional high-precision view from a point of interest, comprising:
a step of acquiring three-dimensional basic map data before arranging a highly accurate three-dimensional model and outputting it to a display device;
generating a criterion for extracting a replacement object to be replaced with a high-precision three-dimensional model centered on the study point, and causing the display device to display the criterion overlaid on the basic map data;
A three-dimensional modeling support method, wherein the determination criteria are displayed for a near-distance range and an intermediate-distance range from the examination target point. 5. The three-dimensional modeling support method according to claim 4, further comprising a step of aligning the high-precision three-dimensional model of the object to be replaced with the basic map data. A three-dimensional modeling support program for generating a three-dimensional high-precision view from a point of interest,
A procedure for acquiring 3D basic map data before arranging a high-precision 3D model and outputting it to a display device;
generating a criterion for extracting a replacement object to be replaced with a high-precision three-dimensional model centered on the study point, and causing the display device to display the criterion overlaid on the basic map data;
A three-dimensional modeling support program for causing a computer to execute a process of displaying the criteria for a near-distance range and an intermediate-distance range from the study point.

Images