JP7190785B1 - Information processing device and program - Google Patents

Abstract

A final product (3D object data) obtained by applying a 2D image to a 3D object is improved in artistic quality and originality. A 3D object acquisition unit acquires a 3D object; an image data acquisition unit acquires 2D image data based on corresponding metadata; An information processing apparatus is disclosed that includes an image data generation unit that generates image data of an object on which an image is drawn. [Selection drawing] Fig. 11

Description

Application of Article 30, Paragraph 2 of the Patent Act Announced on SNS (application provided by Twitter, Inc.) on April 14, 2020

Application of Patent Law Article 30, Paragraph 2 April 29, 2020, https://metapylon. announced on io/

Application of Patent Law Article 30, Paragraph 2 Announced on SNS (application provided by Twitter, Inc.) on April 29, 2020

Application of Article 30, Paragraph 2 of the Patent Law Announced on April 16, 2022 in materials sent to customers

The present disclosure relates to an information processing device and a program.

Techniques for forming 2D image-based engravings on subdivision surfaces representing 3D modeled objects are known.

JP 2016-157429 A

The above-mentioned conventional technologies are specialized for application to industrial products on the premise of mass production, and it is difficult to improve the artistry and originality of the final product (3D object data) that combines 2D images and 3D images. .

Therefore, an object of the present disclosure is to enhance the artistry and originality of a final work (3D object data) in which a 2D image is applied to a 3D object.

In one aspect, a 3D object acquisition unit that acquires a 3D object;
an image data acquisition unit that acquires 2D image data based on corresponding metadata;
An information processing apparatus is provided, comprising an image data generation unit that generates image data of the object in which an image based on the 2D image data is drawn along a surface of the object based on the 3D object.

According to the present disclosure, it is possible to enhance the artistry and originality of a final work (3D object data) in which a 2D image is applied to a 3D object.

1 is a schematic diagram of an overall configuration of an information processing system according to an embodiment; FIG. It is a figure which shows an example of the hardware constitutions of an information processing server. 4 is a timing chart schematically showing an example of the flow of processing until a new 3D object is saved in this embodiment. FIG. 4 is an explanatory diagram showing a 3D object imitating a pylon; FIG. 10 is an explanatory diagram showing an example of a selection UI; FIG. 11 is an explanatory diagram showing an example of a paste UI; FIG. 11 is an explanatory diagram of another form of a 2D image to be pasted; FIG. 4 is an explanatory diagram showing an example of a state in which a plurality of 2D images are pasted on the surface of a 3D object; FIG. 4 is an explanatory diagram showing an example of a 3D object (a 3D object to which a plurality of 2D images are pasted) arranged in a metaverse space; FIG. 10 is a diagram showing another example of a 3D object on the pasting side; 1 is a schematic block diagram showing an example of functions of an information processing system; FIG. FIG. 10 is an explanatory diagram of an example of a form of sales of 2D images that can be attached to 3D objects; 4 is a flowchart of an example of a method for generating combined image data; FIG. 4 is an explanatory diagram of an example of data in a user information storage unit;

Each embodiment will be described in detail below with reference to the accompanying drawings.

In the following description, "3D" and "2D" represent dimensions related to "three dimensions" and "two dimensions."

FIG. 1 is a schematic diagram of the overall configuration of an information processing system 1 according to one embodiment.

The information processing system 1 includes an information processing server 100 .

The information processing server 100 can communicate with each user terminal 21 via the network 4 . That is, the user terminal 21 and the information processing server 100 are connected via the network 4 . Hereinafter, unless otherwise specified, a user refers to one user associated with one or more user terminals 21 .

The network 4 may include the Internet, a WAN (Wide Area Network), a wireless communication network, a wired network, or any combination thereof. A cloud server 91 is connected to the network 4 . Also, part or all of the network 4 may be realized by a P2P network.

The user terminal 21 is, for example, a smart phone or a mobile phone, but may be a wearable terminal (for example, smart watch, ring, etc.), tablet terminal, laptop terminal, desktop terminal, or the like.

The user terminal 21 has a display section 24 . The display unit 24 may be a liquid crystal display, an organic EL (Electro-Luminescence) display, or the like.

The information processing server 100 is in the form of a server and is formed by, for example, a server computer. The information processing server 100 may be realized by a plurality of server computers. For example, the information processing server 100 may be implemented by cooperation of a plurality of server computers located at different locations. The information processing server 100 may also include a web server. In this case, some of the functions of the user terminal 21, which will be described later, may be realized by the browser processing the HTML document received from the web server and various programs (Javascript) attached thereto.

FIG. 2 is a diagram showing an example of the hardware configuration of the information processing server 100. As shown in FIG. Note that the hardware configuration itself of the user terminal 21 may be the same as the hardware configuration of the information processing server 100 except that the display unit 24 is provided. However, the information processing server 100 may have a display unit.

In the example shown in FIG. 2 , the information processing server 100 includes a control unit 101 , a main storage unit 102 , an auxiliary storage unit 103 , a drive device 104 , a network I/F unit 106 and an input unit 107 .

The control unit 101 is an arithmetic device that executes programs stored in the main memory unit 102 and the auxiliary memory unit 103, receives data from the input unit 107 and the memory device, performs calculations and processes, and outputs the data to the memory device. do.

The main storage unit 102 is a ROM (Read Only Memory), a RAM (Random Access Memory), or the like. The main storage unit 102 is a storage device that stores or temporarily stores programs and data such as an OS (Operating System), which is basic software executed by the control unit 101, and application software.

The auxiliary storage unit 103 is an HDD (Hard Disk Drive), an SSD (Solid State Drive), or the like, and is a storage device that stores data related to application software and the like.

A drive device 104 reads a program from a recording medium 105, such as a flexible disk, and installs it in a storage device.

A recording medium 105 stores a predetermined program. A program stored in this recording medium 105 is installed in the information processing server 100 via the drive device 104 . The installed predetermined program can be executed by the information processing server 100 .

The network I/F unit 106 is an interface between the information processing server 100 and a peripheral device having a communication function and the user terminal 21 connected via the network 4 .

The input unit 107 includes a keyboard, a mouse, a touch pad, and the like having cursor keys, numeric input, various function keys, and the like.

Note that, in the example shown in FIG. 2, various processes and the like described below can be realized by causing the information processing server 100 to execute a program. It is also possible to record a program in the recording medium 105 and cause the information processing server 100 to read the recording medium 105 in which the program is recorded, thereby realizing various processes described below. Various types of recording media can be used as the recording medium 105 . For example, the recording medium 105 is a recording medium for optically, electrically or magnetically recording information such as a CD (Compact Disc)-ROM, a flexible disk, a magneto-optical disk, or a recording medium such as a ROM, a flash memory, or the like. It may be a semiconductor memory or the like that electrically records .

FIG. 3 shows the exchange of information and data among the user terminal 21, the information processing server 100 (indicated as “browser” in FIG. 3), and the cloud server 91 in this embodiment, and a new 3D object is stored. 10 is a timing chart schematically showing the flow of an example of processing up to and including; 4 to 8 are explanatory diagrams of FIG. 3. FIG.

In the following description of FIG. 3 and the like, processing for one user will be described unless otherwise specified, but processing for other users is the same. Also, the following functions of the information processing server 100 may be realized by a dedicated editor on the browser.

In FIG. 3, first, the user uses the user terminal 21 to purchase the right from the service (step S30). In addition, the purchase may be realized in a normal payment mode, or may be realized via a smart contract or the like. Any currency may be used for settlement.

In response to the right purchase in step S30, the information processing server 100 acquires (reads) the 3D object (denoted as "original 3D" in FIG. 3) from the cloud server 91 (steps S32, S34). At this time, the information processing server 100 may display the acquired 3D object in a manner that the user can browse (step S36). As an example of a 3D object, FIG. 4 illustrates a 3D object modeled after a pylon (hereinafter also simply referred to as “pylon”). In the example shown in FIG. 4, nothing is drawn on the surface of the pylon (ie, it is a blank canvas). However, in a modified example, the pylon at the time of purchase may already have some design, characters, or the like drawn thereon. Also, in the example shown in FIG. 4, the pylon is white, for example, but it may be given another color or pattern. Also, in the example shown in FIG. 4, the pylon has a smooth surface, but it may be uneven or textured. The pylon may be displayed as a 2D image on the purchase screen or the like, or an animation display of the pylon may be possible by combining 2D images.

Next, the user uses the user terminal 21 to select a 2D image to be pasted (denoted as "read image" in FIG. 3) (step S38). FIG. 5 shows an example of a selection user interface (hereinafter referred to as “selection UI”) when a smartphone is used as the user terminal 21 . In the case of FIG. 5, the selection UI includes a plurality of 2D image displays G51 to G54 associated with 2D image data owned by the user, and a selection button B51 associated with each of the plurality of 2D image displays G51 to G54. to B54. In FIG. 5, the selection buttons B51 to B54 are the corresponding displays G51 to G54 themselves, and operations such as tapping are possible. However, in a modification, the selection buttons B51 to B54 may be set at different positions associated with the displays G51 to G54 of the plurality of 2D images, respectively. Further, the selection UI may be made scrollable so that 2D image displays other than the 2D image displays G51 to G54 can be browsed. The 2D image displays G51 to G54 may be displays that represent the corresponding 2D image data in an identifiable manner, and may be generated based on the corresponding 2D image data, or may be generated based on the corresponding 2D image data. may be generated based on different image data. Note that when generated based on corresponding 2D image data, the 2D image data itself may be obtained based on corresponding metadata.

Here, the user-selectable 2D image to be pasted is preferably associated with a work published as an NFT and owned by the user. In this case, the 2D image to be pasted is an image that is substantially impossible to duplicate and highly non-substitutable (unique). In this way, the display of the plurality of 2D images displayed on the selection UI may be the display of the 2D image associated with the NFT owned by the user.

In response to the user's selection in step S38, the information processing server 100 reads the selected 2D image to be pasted (denoted as "2D read" in FIG. 3) (step S40). A 2D image may be obtained based on the corresponding metadata. For example, the 2D image associated with the NFT may be obtained from a P2P distributed file system (eg IPFS (InterPlanetary File System)) or the like. The information processing server 100 then converts the read 2D image into a three-dimensional image and generates a corresponding 3D image (step S42). Next, a place to paste the 3D image on the original 3D is determined (step S44). Note that the pasting location may be specified by the user. In addition, various adjustments may be made as to the pasting location and orientation of the 2D image in the 3D object, as will be described later.

FIG. 6 shows an example of a user interface (hereinafter referred to as "paste UI") for specifying a paste location. In the example shown in FIG. 6, the paste location of the 3D image on the original 3D is visually indicated along with the 2D image to be pasted. The user may be able to change the orientation, size, layer, etc., in addition to the pasting position. Also, the user may be able to freely change the view, such as rotation and panning, in the same way as with a normal 3D viewer such as CAD (Computer Aided Design). A layer relates to a layer when pasting two or more 2D images on top of each other. Note that in the example shown in FIG. 6, the paste UI is for a relatively large screen (for example, for a PC screen) and includes a selection UI. In this case, the user may be able to select a 2D image to be pasted by dragging a desired 2D image in the selection UI and moving it into the paste UI on the right. Also, the user may be able to appropriately change the position, orientation, etc. of the 2D image within the paste UI.

In the example shown in FIG. 6, the 2D image to be pasted has a rectangular contour, but as shown in FIG. may have.

Next, the information processing server 100 bends the image 3D according to the surface of the original 3D (the surface of the pasting place) and superimposes the image 3D on the surface of the original 3D (step S46). In this case, the information processing server 100 generates and outputs a new 3D object with a 2D image related to the 3D image pasted on the surface of the original 3D (step S48). Combining (drawing) a 2D image along the surface of the original 3D in this way is hereinafter also referred to as "pasting" the 2D image. In this embodiment, the 3D object on the pasting side is a pylon whose surface is curved. Or all may be a plane. Also, the 3D object on the pasting side may have a polyhedral structure composed of a plurality of planes.

Then, the information processing server 100 causes the cloud server 91 to store the combination result obtained in this way (denoted as "3D combination" in FIG. 3) (steps S50 and S52). In addition to or instead of the cloud server 91, a P2P distributed file system (eg, IPFS) or the like may store 2D images of new 3D objects.

FIG. 8 schematically shows a state in which a plurality of 2D images G81 to G84 are pasted on the surface of a 3D object (in the form of a pylon in this embodiment). FIG. 8 shows a state in which four 2D images G81 to G84 are pasted, but the number of 2D images that can be pasted is arbitrary and may be unlimited. number may be set according to a predetermined condition. 2D images may also be allowed to be pasted on top of each other, in which case the 2D image pasted on top may be drawn to hide the 2D image below. At this time, the user may be able to appropriately change the layers (hierarchical relationship) between the 2D images by adjusting the layers as described above.

A 3D object generated in this way may be placed in a 3D three-dimensional space (virtual space), such as a metaverse space. In FIG. 9, a pylon with one 2D image pasted is placed on the ground (object) in the Metaverse space. It should be noted that the position in which the pylon can be placed in the Metaverse space may be within the land owned by the user, or may be a position permitted by the administrator.

Thus, according to the present embodiment, a 2D image to be pasted can be read based on the metadata, and the read 2D image can be pasted to the 3D object. In this case, the user can arbitrarily determine the pasting position, size, orientation, overlapping manner of a plurality of 2D images, the number and types of 2D images to be pasted on one 3D object, and the like. As a result, the artistry and originality of the final work (3D object data) obtained from the original 3D object can be enhanced. In addition, when the 2D image to be pasted is an image related to NFT, it is possible to further increase the irreplaceability (uniqueness).

In the above-described embodiment, the pylon is the 3D object on the pasting side, but the 3D object on the pasting side is arbitrary, and any and all 3D objects can be used. Also, the 3D object to be pasted is not necessarily a fixed object, and may be a movable object or an object having portability. Also, the 3D object on the pasting side does not necessarily have to be an object whose shape does not change, and may be an object capable of reversible or irreversible deformation.

For example, as shown in FIG. 10, the 3D object on the pasting side may include an object worn by a character such as an avatar in the virtual space (for example, an object OB10 related to a hat). In this case, the user can change the object worn by the user's avatar in a desired manner, thereby enhancing originality (rarity), artistry, and the like. Objects worn by such avatars can change their shape dynamically according to the movement of the avatar, and 2D images are dynamically pasted to follow such changes in shape. good too.

Also, the size of the 3D object to be pasted may be variable by the user, or 3D objects of a plurality of sizes may be prepared in advance. Also, the size of the 3D object to be pasted may be changeable according to the size of the 2D image to be pasted and the number of pastings.

Note that in the example shown in FIG. 3, the 2D image is converted to 3D in step S42 and the corresponding 3D image is generated, and then in step S44, the pasting position in the 3D object is specified. is not limited to For example, the corresponding 3D image may be generated after the pasting position in the 3D object is specified, or the 2D image may be pasted to the 3D object without going through the corresponding 3D image. Alternatively, a 2D image may be pasted on the surface of a 3D object using the technique described in JP-A-2016-157429.

Next, the information processing system 1 will be further described with reference to FIG. 11 and subsequent figures.

FIG. 11 is a schematic block diagram showing an example of functions of the information processing system 1. As shown in FIG. In the following description, the functions of the information processing system 1 are realized by, for example, the information processing server 100, but some or all of the functions of the information processing system 1 are implemented by the user terminal 21, the information processing server 100, and the cloud server 91. It may be realized by any one or a combination of two or more of them.

As shown in FIG. 11, the information processing system 1 includes a user input acquisition unit 11, a three-dimensional data acquisition unit 12, an image data acquisition unit 13, a combined image data generation unit 14, a data management unit 15, user information A storage unit 16 and a combined image storage unit 17 are included.

The user input acquisition unit 11 acquires user input via various UIs such as the above-described selection UI and paste UI. Note that the user input may be obtained through voice, gesture (motion capture), etc., in addition to or instead of a normal user interface such as a touch panel.

The three-dimensional data acquisition unit 12 acquires data of the above-described 3D object (for example, a 3D object on the pasting side such as a pylon). Note that the storage location of the 3D object may be inside the information processing server 100 or may be another server. Also, the 3D object may be acquired by being newly generated by a user or the like.

The image data acquisition unit 13 acquires a 2D image that can be attached to a 3D object. For example, the image data acquisition unit 13 may acquire a 2D image selected by the user via the selection UI, as described above. Alternatively, the image data acquisition unit 13 may acquire all or part of the 2D image owned by the user when generating the selection UI.

Note that the user may obtain (purchase) a 2D image that can be pasted on a 3D object from any marketplace, or may obtain it by creating an original image by himself or herself, or any acquisition method may be used. be. For example, as shown in FIG. 12, a 2D image that can be attached to a 3D object may be sold in a packaged form on a marketplace or the like on the Internet. It may also be sold as a set with the 3D object.

The combined image data generation unit 14 generates a 3D object (hereinafter also referred to as "combined image data") to which the 2D image is pasted as described above. FIG. 13 is a flow chart of an example of a method for generating combined image data. The generation method shown in FIG. 13 can be applied as a specific example of the processing of steps S40 to S48 shown in FIG.

In the example shown in FIG. 13, the combined image data generation unit 14 reads an image 2D file related to a 2D image (step S131), and pastes the surface of the original 3D object (in FIG. 13, "original 3D curved surface paste place”) is designated by the user (step S132). The combined image data generation unit 14 measures (calculates) the data amount of the surface related to the pasting location (step S133), and measures (calculates) the data amount of the image 2D file (step S134). Then, the combined image data generation unit 14 interpolates the data amount of the image 2D file from the data amount related to the surface (curved surface) of the original 3D object (step S135). The combined image data generation unit 14 also adds depth data to the 2D image (step S136), thereby converting the 2D image data into 3D image data (step S137). Then, the combined image data generation unit 14 overwrites the surface data of the original 3D object with the converted image 3D data (step S138) to generate and output new 3D data (that is, combined image data) ( step S139).

Although not shown in FIG. 13, if the user instructs to change the pasting place (position) or to change the orientation or size, step S132 is executed based on the instruction of the new pasting place or the like. may be similarly performed.

In this way, the combined image data generation unit 14 has a function of performing image interpolation using 3D image technology (conversion from 2D to 3D and pasting of 3D objects) to eliminate differences between 2D data and 3D data.

When the combined image data is generated by the combined image data generation unit 14, the data management unit 15 indicates to that effect (that it has been pasted) to the 2D image used to generate the combined image data. Predetermined information is associated. For example, the data management unit 15 may associate a flag indicating predetermined information indicating pasting with the 2D image used to generate the combined image data.

The data management unit 15 may prohibit generation of new combined image data by the combined image data generation unit 14 using the 2D image with respect to the 2D image associated with the predetermined information. In this case, the number of 3D objects to which one 2D image can be pasted is only one, and due to the rarity of the one 2D image, etc., the number of combined image data (3D object data) that can be generated is limited. You can enhance your artistry and originality.

In this embodiment, a 2D image attached to a 3D object may be peelable based on user input. When the 2D image drawn on the 3D object is deleted (that is, when the 2D image is peeled off), the data management unit 15 cancels the association state of the predetermined information with the 2D image deleted from the 3D object. good. That is, the 2D image deleted from the 3D object can be pasted onto the 3D object again. As a result, it is possible for the user to re-paste the image, thereby improving convenience.

The user information storage unit 16 stores user information of each user. The user information is arbitrary, but may include information such as collection, paste status, storage location, etc. for each user name (or user ID), as shown in FIG. 14, for example. In this case, the collection represents the 2D images owned by the corresponding user. The pasted state represents the state of the corresponding 2D image, and may be a “Pasted” state corresponding to the above-described predetermined information (information indicating that it is used to generate combined image data), or another “Not Pasted” state. can represent the state. In addition, the pasted state information may include information specifying the pasted 3D object when representing the “Pasted” state. The storage location is information representing the storage location of the corresponding 2D image, and may be generated from the metadata of the corresponding 2D image. Alternatively, the storage location information may be the corresponding metadata itself. The storage location information may include a corresponding URL (Uniform Resource Locator).

Such user information may be appropriately updated by the data management unit 15 . For example, when the user purchases a new 2D image, the data management unit 15 may add the new 2D image to the collection and add corresponding information such as a storage location. The purchased 2D image is in a pastable state (that is, “Not Pasted” state), but may be distributed in a “Pasted” state in which pasting is not possible. Such attachment status may be identifiably displayed in the marketplace and may be reflected in its price.

Also, the user information may be used by the user input acquisition unit 11 and the image data acquisition unit 13 . For example, the user input acquisition unit 11 may identify the 2D image owned by the user based on the collection of user information when generating the selection UI described above. Further, at this time, the user input acquisition unit 11 may additionally output information as to whether or not each 2D image can be pasted to the selection UI based on the pasting state of the user information. For example, a 2D image that cannot be pasted may be given a character such as “Pasted” (see FIG. 6), or even if the corresponding selection button (see selection buttons B51 to B52 in FIG. 5) is deactivated. good. Alternatively, the user input acquisition unit 11 may output displays (see displays G51 to G54 in FIG. 5) related to pastable 2D images based on the pasting state of the user information. Further, when generating the selection UI described above, the image data acquisition unit 13 identifies the storage location together with the 2D image owned by the user based on the user information collection, and stores the identified 2D image in the corresponding storage location. can be obtained from

The combined image storage unit 17 stores the combined image data generated by the combined image data generation unit 14 as described above. Some or all of the functions of the combined image storage unit 17 may be implemented by another system (for example, a P2P distributed file system) or server as described above. Note that the combined image data generated by the combined image data generation unit 14 may be converted to NFT. Also in this case, as in the form shown in FIG. 12, the combined image data may be sold in a packaged form.

Although each embodiment has been described in detail above, it is not limited to a specific embodiment, and various modifications and changes are possible within the scope described in the claims. It is also possible to combine all or more of the constituent elements of the above-described embodiments.

For example, in the above-described embodiment, the 2D image pasted on the 3D object is a still image, but it may be applied to a moving image or animation.

Further, in the above-described embodiment, after a 2D image is attached to a 3D object, the 3D object can be placed in the metaverse space or the like. A 2D image may be pasted with .

1 information processing system 4 network 11 user input acquisition unit 12 three-dimensional data acquisition unit 13 image data acquisition unit 14 combined image data generation unit (image data generation unit)
15 Data management unit 16 User information storage unit 17 Combined image storage unit 21 User terminal 24 Display unit 91 Cloud server 100 Information processing server 101 Control unit 102 Main storage unit 103 Auxiliary storage unit 104 Drive device 105 Recording medium 106 Network I/F unit 107 input unit

Claims (10)

a 3D object acquisition unit that acquires a 3D object;
an image data acquisition unit that acquires 2D image data based on corresponding metadata;
an image data generation unit that generates image data of the object in which an image based on the 2D image data is drawn along the surface of the object based on the 3D object;
a data management unit that, when the image data generating unit generates the image data of the object, associates the 2D image data used to generate the image data of the object with predetermined information indicating that fact; prepared,
The information processing device , wherein the data management unit prohibits the image data generation unit from generating new image data of the object using the 2D image data associated with the predetermined information . The information processing device according to claim 1, wherein said 2D image data is associated with a work published as an NFT. further comprising a user input acquisition unit that acquires user input;
The image data generator is capable of deleting the image drawn on the surface based on the user input,
2. The data management unit according to claim 1 , wherein when the image drawn on the surface is deleted, the data management unit cancels the association state of the predetermined information with the 2D image data related to the deleted image. information processing equipment. The user input acquisition unit generates a user interface including display of a plurality of 2D images associated with the 2D image data and selection buttons respectively associated with the display of the plurality of 2D images,
the user input includes a selection input obtained via the selection button;
4. The information processing apparatus according to claim 3 , wherein said image data generator generates image data of said object using said 2D image data corresponding to said selection input. The user input acquisition unit displays the 2D image associated with the 2D image data associated with the predetermined information and the 2D image associated with the 2D image data not associated with the predetermined information. 5. The information processing apparatus according to claim 4 , which displays in an identifiable manner. 2. The information processing apparatus according to claim 1, wherein said image data generated by said image data generation unit can be used to generate an object in a virtual space. further comprising a user input acquisition unit that acquires user input;
2. The information processing apparatus according to claim 1, wherein said image data generator can change at least one of a position, orientation and size of said image on said surface based on said user input. 2. The information processing apparatus according to claim 1, wherein said image data generation unit is capable of generating image data of said object in which a plurality of said images are drawn with respect to one said object. further comprising a user input acquisition unit that acquires user input;
9. The information processing apparatus according to claim 8 , wherein said image data generator is capable of changing layers between overlapping images among said plurality of images based on said user's input. get a 3D object,
obtaining 2D image data based on corresponding metadata;
generating image data of the object in which an image based on the 2D image data is drawn along the surface of the object based on the 3D object;
When the image data of the object is generated, the 2D image data used to generate the image data of the object is associated with predetermined information indicating that fact, and the predetermined information is associated with the 2D image data. A program that causes a computer to execute processing for prohibiting generation of new image data of the object using the 2D image data .

Images