JP7419765B2 - Image generation system and image generation method - Google Patents

Description

The present invention relates to an image generation system and an image generation method.

2. Description of the Related Art Conventionally, a technique is known in which a three-dimensional object having a curved surface is scanned by a scanner to generate a pseudo 3D image that is a two-dimensional reproduction of the three-dimensional object.

For example, Patent Document 1 describes a roll scanner that rotates an object (three-dimensional object) such as a tire or wood on a pair of feed rollers and reads the state of its circumferential surface with a reading head disposed below the object. is listed.

Patent No. 4464988

However, with the conventional technology described in Patent Document 1, it is difficult to accurately read the curved surface part of a three-dimensional object while maintaining its state, so it is difficult to reproduce a beautiful pseudo 3D image with little distortion. was difficult.

The present invention has been made in view of the above-mentioned circumstances, and an example of an object to be solved is to solve the above-mentioned problems. That is, an example of the problem of the present invention is to provide an image generation system and an image generation method that can reproduce a three-dimensional object having a curved surface as a beautiful pseudo 3D image with little distortion.

An image generation system according to the present invention generates a pseudo 3D image that is a two-dimensional reproduction of a three-dimensional object having a curved surface, and stores the pseudo 3D image in a storage unit, wherein the image generation system scans the three-dimensional object. a generating means for generating the pseudo 3D image of the three-dimensional object from a scanned image obtained by scanning by the scanning means, and storing the pseudo 3D image generated by the generating means in the storage unit. storage means, the scanning means determines a height at which one location is scanned in the height direction of the three-dimensional object based on the depth of unevenness of the curved surface, and scans the three-dimensional object at the determined height. A three-dimensional object is scanned, a plurality of locations on the three-dimensional object are scanned to obtain scanned images of the plurality of locations, and the generating means generates a specific distortion from the scanned images of the plurality of locations obtained by the scanning means. The pseudo 3D image is generated by connecting the cut images excluding the above.

Preferably, the scanning means scans a plurality of locations around the entire circumference of the three-dimensional object, and obtains scanned images of the plurality of locations.

Preferably, the image forming apparatus further includes transmitting means for transmitting the pseudo 3D image stored in the storage unit by receiving a predetermined instruction.

Preferably, the scanning means scans the three-dimensional object while the three-dimensional object is fixed, and rotates the three-dimensional object by a predetermined rotation angle after obtaining a scanned image of one part of the three-dimensional object. By repeating the scan rotation process, scan images at a plurality of locations are acquired, and the generating means generates an image portion within a specific range based on the magnitude of distortion among the scan images acquired in each of the scan rotation processes. The pseudo 3D image is generated by joining the cut images from which specific distortions have been removed by cutting.

Preferably, the scanning means scans the three-dimensional object multiple times at different heights for one location in the height direction of the three-dimensional object.

Preferably, the scanning means determines the number of scans to be performed on one location in the height direction of the three-dimensional object based on the depth of unevenness of the curved surface, and the scanning means determines the number of scans to be performed on one location in the height direction of the three-dimensional object, and scans the three-dimensional object with the determined number of scans. Perform a scan.

Preferably, the image portion within the specific range is a virtual image whose radius is a maximum distance from the rotation axis to the curved surface of the three-dimensional object in a rotation cross section perpendicular to the rotation axis of the three-dimensional object. Assuming a circle, the method is a normal line that connects the center point of the virtual circle and a scan position where the three-dimensional object is scanned by the scanning means, and that coincides with the direction in which the three-dimensional object is taken in from the scanning position. When a point where a line and the virtual circle intersect is defined as a point of contact, a point on a tangent passing through the point of contact of the virtual circle and away from the point of contact is set as a reference point, and a point of the tangent line from the point of contact to the reference point is set as a reference point. The length is a first length, and the point where a perpendicular line perpendicular to the tangent intersects the imaginary circle at the reference point is an intersection, and the length of the arc of the imaginary circle from the point of contact to the intersection is a second length. Then, the value obtained by subtracting the first length from the second length is divided by the second length ((second length - first length)/second length). This is an image portion within a range where the distortion rate (%) of the scanned image defined as a percentage (%) is equal to or less than a predetermined value.

Preferably, the strain rate is 10% or less.

Preferably, the three-dimensional object is a cylinder.

An image generation method according to the present invention generates a pseudo 3D image that is a two-dimensional reproduction of a three-dimensional object having a curved surface, and stores the pseudo 3D image in a storage unit, wherein the three-dimensional object is scanned. a scanning step to be performed, a generation step of generating the pseudo 3D image of the three-dimensional object from the scan image obtained by scanning in the scanning step, and storing the pseudo 3D image generated in the generation step in the storage unit. In the scanning step , a height at which scanning is to be performed for one location is determined based on the depth of unevenness of the curved surface in the height direction of the three-dimensional object, and the determined height is determined. scan the three-dimensional object, scan multiple locations on the three-dimensional object to obtain scanned images of multiple locations, and in the generation step, identify from the scanned images of multiple locations obtained in the scanning step. The pseudo 3D image is generated by joining the cut images from which distortion has been removed.

According to the present invention, it is possible to provide an image generation system and an image generation method that can reproduce a three-dimensional object having a curved surface as a beautiful pseudo 3D image with little distortion.

FIG. 2 is a functional block diagram for explaining an image generation system. It is a perspective view of a printing can. It is a developed view of a design image printed on a can body. It is a diagram showing the structure of a 3D scanner device. FIG. 3 is a diagram for explaining scanning processing by a 3D scanner device. 6 is an enlarged view of range W in FIG. 5. FIG. FIG. 3 is a diagram illustrating an example of a scan image acquired in the first scan rotation process. 3 is a flowchart for explaining image generation processing.

Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a functional block diagram for explaining an image generation system. FIG. 2 is a perspective view of the printing can. FIG. 3 is a developed view of the design image printed on the can body. FIG. 4 is a diagram showing the structure of a 3D scanner device. FIG. 5 is a diagram for explaining scanning processing by the 3D scanner device. FIG. 6 is an enlarged view of range W in FIG. FIG. 7 is a diagram illustrating an example of a scan image acquired in the first scan rotation process. FIG. 8 is a flowchart for explaining image generation processing.

[Overall configuration of image generation system]
As shown in FIG. 1, an image generation system 1 in this embodiment includes a 3D scanner device 2 and an information processing device 3.

The 3D scanner device 2 scans a three-dimensional object (for example, corn 4 shown in FIG. 4) having a curved surface, which is a 3D scan target (object to be captured), thereby generating a scanned image (of the three-dimensional object). This is an image capture device that captures images (captured images).

The information processing device 3 is, for example, a normal personal computer (PC) equipped with a CPU (Central Processing Unit), a ROM (Read only memory), a RAM (Random access memory), an I/F (Interface), a keyboard, etc. It's fine. Such an information processing device 3 includes an input/output section 31, a control section 32, an operation input section 33, a transmitting/receiving section 34, and a storage section 35.

The input/output unit 31 is an input/output (I/O) port that inputs and outputs data to and from the 3D scanner device 2 . The operation input unit 33 is composed of a normal keyboard, etc., and reproduces the three-dimensional object in two dimensions from the data of the scanned image (captured image) of the three-dimensional object acquired by the 3D scanner device 2, which is an image capturing device. 3D image (pseudo 3D image). The transmitting/receiving unit 34 has an I/F, and transmits and receives data such as pseudo 3D images to and from a network (not shown). The storage unit 35 stores and reads pseudo 3D images under the control of the control unit 32.

The control unit 32 is composed of a CPU, ROM, RAM, etc., and generates a pseudo 3D image of a three-dimensional object from the data of the scan image acquired by the 3D scanner device 2. Then, the control unit 32 stores the data of the generated pseudo 3D image in the storage unit 35.

Further, when the transmitter/receiver 34 receives a data acquisition request (request for purchase, download, etc.) of a pseudo 3D image of a three-dimensional object from another information processing device via the network, the controller 32 stores the three-dimensional object from the storage unit 35. The pseudo 3D image data of the object is read out, and the read pseudo 3D image data is transmitted to a network (not shown) via the transmitting/receiving section 34. Thereby, the operator of another information processing device obtains (purchases, downloads, etc.) data of a pseudo 3D image of a three-dimensional object.

Note that, without being limited to such an example, the control unit 32 of the information processing device 3 may store the data of the generated pseudo 3D image of the three-dimensional object in a database of a server (none of which is shown) via the network. You can do it like this. In this case, when another information processing device makes a data acquisition request (request for purchase, download, etc.) of the pseudo 3D image of the three-dimensional object, the server receives the pseudo-3D image of the three-dimensional object read from its own database. data to other information processing devices via the network.

The information processing device 3 synthesizes the image data of various images (product name image, information image, etc.) on top of the data of the generated pseudo 3D image of the three-dimensional object based on the operation of the operator. An image (design image) is generated, and the generated design image is stored in the storage unit 35.

Note that details of the image generation process in the image generation system will be described later.

[Printed cans]
As shown in FIG. 2, a printed can 100, which is an example of a printed substrate, has a cylindrical can body 101. An opening 102 is formed in the upper part of the can body 101. A bottom portion 104 is provided at the lower part of the can body 101. A design image 110 including a pseudo 3D image of a three-dimensional object is printed on the outer peripheral surface 103 of the can body 101.

Such a printed can 100 later becomes a canned product by filling the inside of the can body 101 with contents through the opening 102 and closing the opening 102 with a lid (not shown).

In this embodiment, the contents filled in the can body 101 are a soup drink (corn potage) prepared using corn. In this case, the can body 101 is filled with corn potage and the opening 102 is closed by the lid, thereby providing a corn potage beverage product.

Note that the contents filled in the can body 101 are not particularly limited. For example, such contents include non-alcoholic beverages (e.g., soft drinks, fruit drinks, tea, soup drinks, non-alcoholic beverages with the flavor of alcoholic beverages, etc.), alcoholic beverages (e.g., beer, chu-hi, It may be any drink (sour, cocktail, sake, wine, etc.). Alternatively, the contents filled in the can body 101 are not limited to beverages, but may be any other liquid or solid materials, such as foods such as sweets, bread, and fruits, or medicines, stationery, etc. It may also be something other than food, such as a toy.

The can body 101 is a metal can, such as an aluminum plate, an aluminum alloy plate, a surface-treated steel plate such as tin-free steel, a tin plate, a chrome-plated steel plate, an aluminium-plated steel plate, a nickel-plated steel plate, a tin-nickel plated steel plate, and various types thereof. Various types of metal cans, such as seamless cans and welded cans, may be formed by forming various metal plates such as alloy plated steel sheets by drawing, drawing and ironing, re-drawing, etc. Further, a resin film such as a polyester film, a nylon film, or a polypropylene film may be laminated on the surface of the metal can.

[Design image]
As shown in FIGS. 2 and 3, the design image 110 printed on the can body 101 includes a pseudo 3D image 111 that is a two-dimensional reproduction of a real corn, which is an example of a three-dimensional object having a curved surface. This design image 110 is formed by combining the image data of the product name image 111a and the image data of the information image 111b on the image data of this pseudo 3D image 111.

The product name image 111a is a product name character image 111a-1 consisting of relatively large letters "Warm Corn Potage," which is the product name of a beverage product made by filling the can body 101 with corn potage as a content (beverage). This is an image that displays inside an oval.

The information image 111b includes a basic information image 111b-1 that describes character strings of basic information such as raw materials, content amount, expiration date, and manufacturer's address of the contents (corn potage) to be filled into the can body 101; A barcode image 111b-2, a nutritional information image 111b-3 that describes the nutritional content and calorific value of the contents, a recycle mark image 111b-4 necessary for recycling empty cans, and other precautions (for example, "open cans"). The warning image 111b-5 is composed of a caution image 111b-5 in which a character string such as "Please drink it immediately" is written.

[Scan of three-dimensional object]
The 3D scanner device 2 shown in FIG. 4 is placed on a white non-transparent mounting table T to prevent reflections during scanning, and a rotating device 21 that attaches and rotates (rotates) a three-dimensional object having a curved surface. , a scanning unit 22 that scans a three-dimensional object rotated by the rotation device 21 , an LED light source 23 that irradiates illumination light when scanning by the scanning unit 22 , the rotation device 21 , the scanning unit 22 , and A scanner control section 24 that controls the LED light source 23 is provided. Further, the 3D scanner device 2 includes a reflective material 25 placed on the mounting table T together with the rotation device 21.

The rotation device 21 includes gripping parts 211a and 211b that can rotate while gripping a three-dimensional object having a curved surface (in the example of FIG. 4, a real corn 4) that is a 3D scan target, and a rotational drive part such as a motor. 212, a support arm 213a and a support stand 214a that support the grip part 211a, and a support arm 213b and a support stand 214b that support the rotation drive part 212.

A grip portion 211a is rotatably connected to the support arm 213a. Further, a grip portion 211b is rotatably connected to the rotation drive portion 212.

As shown in FIG. 4, the corn 4 that is the object to be 3D scanned is held between the gripping parts 211a and 211b by being sandwiched between the gripping parts 211a and 211b. In this way, the corn 4, which is the object to be 3D scanned, is attached to the rotating device 21 by the gripping parts 211a and 211b, and is fixed so as not to rotate (rotate). When the rotation driving section 212 is driven to rotate based on the control of the scanner control section 24, the gripping section 211b rotates accordingly. Along with this, the corn 4 held by the grip part 211b and the grip part 211a that grips the corn 4 rotate.

The scanning unit 22 scans the corn 4 by irradiating the corn 4 with scanning light and receiving the reflected light under the control of the scanner control unit 24 . This scanning is performed in a state where the corn 4, which is the object to be 3D scanned, is irradiated with light from the side opposite to the side on which the scanning is performed by the scanning unit 22.

In the example of FIG. 4, the scanning direction (scanning direction) of the scanning unit 22 during scanning coincides with the direction of the rotation axis (Y-axis direction) of the corn 4 that is later rotated by the rotation device 21. However, the scanning direction by the scanning unit 22 is not limited to this, and may be, for example, a direction perpendicular to the direction of the rotation axis of the corn 4 later rotated by the rotation device 21 (X-axis direction).

In the example shown in FIG. 4, an LED light source 23 is installed on the side where the corn 4 is scanned by the scanning unit 22. Further, a reflective material 25 is installed on a white non-transparent mounting table T on the opposite side to the side where the corn 4 is scanned by the scanning unit 22. Thereby, the light irradiated from the LED light source 23 to the reflective material 25 is reflected by the reflective material 25 and is irradiated onto the corn 4.

This is to supplement the amount of light from behind the 3D scan target when the scan light (scanning light) irradiated from the scanning unit 22 is insufficient for the 3D scan target. . In particular, if the object to be 3D scanned is not the corn 4 in this example, but is, for example, a colorless and transparent container containing a darkly colored and transparent content (liquid), the scanning unit 22 It is difficult for the scanning light to reach the contents (liquid) inside the transparent container. Therefore, in this case, by supplementing the amount of light from behind the 3D scan target, it is possible to irradiate light even to the contents (liquid) in the transparent container.

The reflective material 25 may be any reflective material, such as a reflective plate, a reflective mirror, a reflective sheet, a reflective tape, etc.

In the image generation system 1, various parameters are measured values related to the corn 4, which is a 3D scanning object (the distance from the rotation axis (center point of the rotation cross section) of the corn 4 to the curved surface around the entire circumference of the corn 4). (maximum value, maximum value of the depth of unevenness of the curved surface, etc.). The scanner control unit 24 of the 3D scanner device 2 determines the scan height and the number of scans when scanning one location based on the maximum depth of the unevenness of the curved surface. The control unit 32 of the information processing device 3 calculates a strain rate (%), which will be described later, based on data of various parameters that are measured values related to the corn 4.

Then, the scanning unit 22 scans a plurality of locations around the entire circumference of the corn 4 under the control of the scanner control unit 24, acquires image data of scanned images of the plurality of locations, and sends the image data to the scanner control unit 24. supply Then, the scanner control unit 24 outputs the image data of the acquired scanned image to the information processing device 3. As will be described later, the information processing device 3 connects (combines) cut images obtained by removing a specific distortion based on data of parameters related to the corn 4 from scan images of multiple locations input from the 3D scanner device 2. to generate a pseudo 3D image.

In the 3D scanner device 2, the scanner control unit 24 controls the rotation drive unit 212 of the rotation device 21 not to be driven when the scanning unit 22 scans. That is, under the control of the scanner control unit 24, the scanning unit 22 scans one location on the corn 4 while the corn 4 gripped by the gripping units 211a and 211b is fixed without rotating. )I do. In the example of FIG. 4, one location on the corn 4 refers to the outer periphery of the corn 4 that is scanned in one scan of the corn 4 (half the outer periphery of the rotation cross section 4a of the corn 4 shown in FIG. 6). .

In the 3D scanner device 2, the scanner control unit 24 performs control to drive the rotation drive unit 212 so that the corn 4 rotates by a predetermined rotation angle after acquiring image data of a scanned image of one location on the corn 4. . The 3D scanner device 2 acquires image data of scanned images of a plurality of locations (for example, 36 locations) on the corn 4, which is the 3D scanning object, by repeating the scan rotation process consisting of such scanning and rotation.

In the height direction of the 3D scanning object (corn 4), the scanner control unit 24 moves from the highest position of the convex part to the lowest (deepest) position of the concave part in each unevenness of the corn 4 obtained from parameter data related to the corn 4. The height (distance from the mounting table T) at which one location is scanned based on the maximum depth of the unevenness of the curved surface (this is also simply referred to as the "depth of the unevenness of the curved surface"), which is the distance to the position may be determined, and the scanning unit 22 may be controlled to be positioned at the determined height. The scanning unit 22 scans the corn 4 at the determined height based on the control of the scanner control unit 24.

For example, for a three-dimensional object with a curved surface that is a 3D scan target, if the depth of the unevenness of the curved surface is 10 mm or less, scanning is performed at the height D3 in Figure 4, and if the depth of the unevenness of the curved surface is 20 mm or less, scanning is performed. The scanning may be performed at the heights D2 and D3 in FIG. 4, and if the depth of the unevenness of the curved surface is 30 mm or less, the scanning may be performed at the heights D1 to D3 in FIG. Note that the value of the depth of the unevenness of this curved surface and the height at which the scan is performed are not limited to these. For example, even if the depth of the unevenness of the curved surface is 10 mm or less, scanning may be performed at the heights D1 to D3.

Further, the scanner control unit 24 performs a scan on one location in the height direction of the corn 4, which is the object to be 3D scanned, based on the depth of unevenness of the curved surface of the corn 4 obtained from parameter data related to the corn 4. The number of scans may be determined, and the scanning unit 22 may be controlled to perform scanning at the determined number of scans. The scanning unit 22 scans the corn 4 the determined number of times under the control of the scanner control unit 24.

For example, for a three-dimensional object with a curved surface that is a 3D scan target, if the depth of the unevenness of the curved surface is 10 mm or less, the number of scans is set to one, and if the depth of the unevenness of the curved surface is 20 mm or less, the number of scans is set to two. If the depth of the unevenness of the curved surface is 30 mm or less, the number of scans may be three times. Note that the values of the unevenness depth of the curved surface and the number of scans are not limited to these, and may be other values. For example, even if the depth of the unevenness of the curved surface is 10 mm or less, the number of scans may be performed multiple times (for example, three times).

In the example shown in FIGS. 4 and 5, the scanning unit 22 scans one location of the corn 4 multiple times at different heights in the height direction (Z-axis direction) of the corn 4, which is the object to be 3D scanned. I do. Specifically, the scanning unit 22 performs scanning at each of the heights D1 to D3, which are distances from the mounting table T, as shown in FIGS. 4 and 5. As shown in FIG. 5, the depth H of the curved surface of the corn 4 is at most 10 mm or less over its entire circumference, but in this way, scanning is performed a total of three times at heights D1 to D3. There is. If the number of scans performed on one location of the 3D scan object is multiple times, the scanner control unit 24 combines the multiple scan images obtained by the multiple scans into one scan image. Let the data be data of a scanned image of one location. By performing many scans at different heights in this way, the image quality of the composite scan image obtained by scanning one location is improved.

In this case, the scanning unit 22 performs a first scan on the corn 4 at a height D1, a second scan at a height D2, and finally a third scan at a height D3. Through such scanning by the scanning unit 22, the scanner control unit 24 generates image data of a scanned image of one location on the corn 4 based on the scan data obtained by performing each of the first to third scans. get. In the 3D scanner device 2, even when the scanning unit 22 performs multiple scans at different heights, the position of the LED light source 23 is fixed, and the position of the focal point during scanning is fixed. is also fixed.

FIG. 5 shows the FF cross section of the corn 4 in FIG. A rotation section 4a perpendicular to axis C is shown. Further, FIG. 5 shows a hypothetical circle R assumed for the rotation cross section 4a. The virtual circle R is a circle whose radius r is the maximum distance from the rotation axis C (center point C ₀ ) to the curved surface 4a-1 of the corn 4 in the rotation cross section 4a of the corn 4. Further, FIG. 5 shows dividing lines M extending radially from the center point C ₀ of the virtual circle R and dividing the virtual circle R at every central angle θ _a (=5°).

FIG. 6 shows an enlarged view of the range W in FIG. 5, with other symbols, lines, etc. necessary for explanation added. As shown in FIG. 6, the position of the scanning unit 22 (scanning position 22a) is a normal line connecting the position of the scanning unit 22 at the height D3 (scanning position 22a) and the center point _C0 of the virtual circle R. ) The normal line that coincides with the direction in which the corn 4 is taken in (the direction indicated by arrow U) is defined as normal line N. Note that the intake direction indicated by arrow U in FIG. 6 is a direction parallel to the Z-axis direction.

In the rotational cross section _4a of the corn 4 _shown in FIG. The rotation angle range including the range extending by the center angle θ _a (=5°) in the rotation direction indicated by K ₂ is defined as the rotation angle range A ₁ (rotation angle θ _b (=2θ _a =10°)). The rotation angle range adjacent to the direction of arrow _K2 of this rotation angle range A ₁ (rotation angle θ _b (=10°)) is defined as the rotation angle range A ₂ (rotation angle θ _b (=10°)). . Similarly, the rotation cross section 4a of the corn 4 is divided into 36 rotation angle ranges θ _b (=10°) such as rotation angle ranges A ₁ to A ₃₆ .

In the first scan rotation process, the 3D scanner device 2 uses the scanning unit 22 to scan one location of the corn 4 shown in FIG. 6, for example, three times. Thereafter, the scanner device 2 rotates the scanner device 2 by a central angle θ _a (=5°) in the rotation direction indicated by the arrow K ₁ and in the opposite rotation direction K ₂ with respect to the normal line N as a reference. The corn 4 is rotated in the rotation direction shown by the arrow _K1 by a rotation angle θ _b =2θ _a (=10°) (rotation angle range A ₁ ) that is a widening angle range. When the corn 4 is rotated by the rotation angle θ _b (=10°) in the rotation direction of the arrow K ₁ , the rotation angle adjacent to the rotation angle range A ₁ of the corn 4 is placed in the position of the original rotation angle range A _1. A portion of angular range _A2 is now located. Then, in the second scan rotation process, after scanning the corn 4, the scanner control unit 24 locates the portion of the rotation angle range A3 at the position of the portion of the rotation angle range _A2 of _the corn 4. Rotate the corn 4 in the direction of rotation shown by the arrow _K1 .

The scanner control unit 24 of the 3D scanner device 2 repeats such scan rotation processing 36 times by rotating 10 degrees each around the entire circumference of the corn 4 that is the object to be 3D scanned. The scanner control unit 24 acquires image data of the 36 scanned images through the first to 36th scan rotation processing.

The scanner control unit 24 of the 3D scanner device 2 outputs image data of scanned images at 36 locations obtained through the first to 36th scan rotation processing to the input/output unit 31 of the information processing device 3.

[Generation of pseudo 3D image]
The input/output unit 31 of the information processing device 3 inputs image data of 36 scanned images of the corn 4 output from the 3D scanner device 2 and supplies it to the control unit 32 . The control unit 32 of the information processing device 3 generates a pseudo 3D image of the corn 4 using the image data of the 36 scanned images supplied from the input/output unit 31 and the parameter data related to the corn 4. Perform processing.

The image processing for generating this pseudo 3D image is performed by installing image editing software in the information processing device 3 and using this image editing software based on the operator's operation received by the operation input unit 33. be exposed.

Specifically, in each of the image data of the 36 scanned images of the corn 4, the control unit 32 cuts out an image portion within a specific range based on the magnitude of distortion calculated from the parameter data related to the corn 4, and Generate a cropped image with the distortion removed. Then, the control unit 32 generates a pseudo 3D image of the corn 4 by connecting each of the 36 cut images.

Here, an image portion in a specific range based on the above-mentioned magnitude of distortion will be explained. The control unit 32 calculates the distortion rate (%) of the scanned image based on the parameters related to the corn 4 in the following manner. That is, as shown in FIGS. 5 and 6, in a rotated cross section 4a perpendicular to the rotation axis C of the corn 4, which is a 3D scan target (a three-dimensional object with a curved surface), from the rotation axis C (i.e., the center point C ₀ ) Assume a virtual circle R whose radius r is the maximum distance to the curved surface 4a-1 of the 3D scan object (corn 4). A normal line connecting the scan position 22a (position of height D3) where the scanning unit 22 scans the 3D scan object (corn 4) and the center point _C0 of the virtual circle R, and is the normal line from the scan position 22a. A point of contact G is defined as a point where the virtual circle R intersects with a normal line N that coincides with the capture direction indicated by the arrow U of the 3D scan target (corn 4).

Further, a point on a tangent line L passing through the contact point G of the virtual circle R and away from the contact point G is defined as a reference point La, and the length of the tangent line L from the contact point G to the reference point La is defined as a first length _E1 . Further, the point where the orthogonal line T, which is orthogonal to the tangent line L, intersects the virtual circle R at the reference point La is defined as an intersection Ra. Then, the length of the arc P of the virtual circle R from the contact point G to the intersection Ra is a second length _E2 .

In this case, the image portion of the specific range is calculated by dividing the value obtained by subtracting the first length E ₁ from the second length E ₂ by the second length E ₂ ((second length E ₂ - first length The image portion falls within a range in which the distortion rate (%) of the scanned image defined by the percentage (%) of length E ₁ )/second length E ₂ ) is equal to or less than a predetermined value. This strain rate (%) is preferably 10% or less, more preferably 5% or less. As shown in FIG. 6, in the scan image of corn 4 acquired in the first scan rotation process, the distortion rate (%) in the rotation angle range A ₁ (rotation angle θ _b (=10°)) is 5%. The following is true.

FIG. 7 shows a scan image of the corn 4 acquired in the first scan rotation process. As shown in FIG. 7, the scanned image portion of corn 4 within the rotation angle range A ₁ (rotation angle θ _b (=10°)) is a realistic reproduction of the real corn grain with little distortion. It becomes. However, in this scan image, as the capture range of the corn 4, which is the 3D scan target, expands from the rotation angle range _A1 to the left and right, that is, as the capture range expands to the rotation angle adjacent to the rotation angle range _A1 . As the ranges A ₂ , A ₃ , A ₄ , A ₅ , A ₆ , etc. expand, the rotation angle ranges A ₃₆ , A ₃₅ , A ₃₄ , A ₃₃ , A ₃₂ adjacent to the rotation angle range A ₁ , . . . , the distortion in the scanned image portion of the corn 4 increases.

Therefore, the control unit 32 of the information processing device 3 selects a rotation angle range A ₁ (rotation angle θ _b (= Cut out the scanned image part of the corn 4 within 10°)). Similarly, for the scan images acquired in the 2nd to 36th scan rotation processes, the portion of the corn 4 within each of the rotation angle ranges A ₂ to A ₃₆ (rotation angle θ _b (=10°)) Cut out the scanned image part.

Then, the control unit 32 generates a pseudo 3D image 111 of the corn 4 shown in FIG. 3 by joining the scan image portions of the cut rotation angle ranges A ₁ to A ₃₆ . The pseudo 3D image 111 shown in FIG. 3 has little distortion and realistically reproduces the grains of real corn.

Further, the control unit 32 may perform image modification processing such as scale adjustment on the generated pseudo 3D image 111 in order to further reduce distortion. Thereby, it is possible to obtain a pseudo 3D image that more faithfully reproduces the corn 4 that is the object to be 3D scanned.

[Image composition]
As shown in FIG. 3, the control unit 32 displays a product name text image of "Warm Corn Potage" on the image data of a pseudo 3D image 111 that is a two-dimensional reproduction of real corn, which is an example of a three-dimensional object having a curved surface. The image data of the product name image 111a including 111a-1 and the image data of the information image 111b of the raw materials of the contents (corn potage) are combined. Thereby, the control unit 24 generates a design image 110 to be printed on the can body 101, and stores the generated design image 110 in the storage unit 35.

The printed can 100 has a design image 110 printed over the entire circumference of the outer circumferential surface 103 of the can body 101, including a beautiful pseudo 3D image with little distortion that reproduces the real corn, so it looks just like a can. It is possible to realize a printed can 100 that looks like real corn 4. As a result, the decorativeness of the printed can 100 can be improved.

[Image formation on the can body]

The design image 110 formed in this way is printed on the outer peripheral surface 103 of the can body 101. As a result, a printed can 100 having a printed design image 110 formed on the outer peripheral surface 103 of the can body 101 is manufactured. A known printing method can be used to print the design image 110 on the outer peripheral surface 103 of the can body 101. The printing method is not particularly limited, and examples include inkjet printing, waterless lithographic printing, gravure printing, resin letterpress printing, flexo printing, direct plate printing, screen printing, and the like.

The design image 110 may be printed on the outer peripheral surface 103 of the can body 101 using a plurality of printing methods. The design image 110 may be printed entirely or partially on the outer circumferential surface 103 of the can body 101.

From the viewpoint of clearly reproducing an image with a three-dimensional effect, the design image 110 is desirably reproduced from inks of four or more colors (yellow, magenta, cyan, black), and may be used as needed. By using spot colors, it is possible to express more detailed print reproduction.

Moreover, even when printed using ordinary printing ink, it is possible to form a printed image with a three-dimensional effect in which surface irregularities and the like are accurately reproduced. However, by printing using foamed ink containing thermally expandable microcapsules in the printing ink, or by printing by thick printing by inkjet printing or by tactile printing, on the outer circumferential surface 103 of the can body 101, It is possible to realize a highly designed printed image with an emphasized three-dimensional effect.

[Outermost layer]
On the outer peripheral surface 103 of the can body 101 on which the design image 110 is printed, it is preferable that the features of the surface form of the 3D scanned object in the design image 110 be more realistically reproduced as a pseudo 3D printed image. Therefore, a glossy layer or a diffused reflection layer may be formed as the outermost layer on the layer of the design image 110 (design image layer) printed on the outer peripheral surface 103 of the can body 101.

The gloss layer is also called a varnish layer or a top coat layer, and has the effect of protecting and polishing the printed design image 110. The varnish for forming the varnish layer is not particularly limited, but for example, a transparent thermosetting resin can be used, and a lubricant component such as paraffin or silicone oil may also be added.

The diffuse reflection layer forms fine irregularities on the surface of the printed design image 110 to reduce the gloss of the surface as much as possible. Such a diffused reflection layer is not particularly limited, but is preferably made of, for example, a matte varnish layer, a matte film, or the like.

As the matte varnish layer, it is preferable to mix a matting agent into the finishing varnish for the top coat layer. The matte film is preferably a transparent resin film made of a thermosetting resin or the like mixed with a matte agent. Examples of the matting agent include those made of inorganic particles such as silica, aluminum hydroxide, and aluminum oxide, and powders and beads of organic materials such as silicone resin and acrylic resin.

[Other layers]
The printed layer of the design image 110 is formed directly on the outer peripheral surface 103 of the can body 101, but the printed layer of the design image 110 is formed via a base coat layer such as a white solid print layer or an anchor coat layer, a base film, etc. You can do it like this.

By forming a white solid printing layer on the outer peripheral surface 103 of the can body 101, it is possible to reduce the influence of the color of the can body 101 on the design image 110. For example, the white solid printing layer is obtained by applying a white ink in which a white pigment such as titanium oxide is dispersed in a solvent together with a thermosetting, ultraviolet curable, or electron beam curable resin, drying, and curing by heat, etc. is formed.

Further, by forming an anchor coat layer on the outer circumferential surface 103 of the can body 101, the adhesion of the printed layer of the design image 110 to the outer circumferential surface 103 of the can body 101 can be improved. The anchor coat layer is formed by applying a coating liquid in which a thermosetting, ultraviolet curable, or electron beam curable resin is dispersed or dissolved in a solvent, drying it, and curing it by heat or the like.

[Irregular shape processing]
The outer circumferential surface 103 of the can body 101 may be printed with a design image 110 and may also be processed into a different shape. In this case, by performing irregular processing to form unevenness so as to partially or completely surround the pseudo 3D printed image in the design image 110, it is possible to make the consumer perceive the three-dimensional effect both visually and tactilely. , it is possible to further enhance the three-dimensional effect of the pseudo 3D printed image. As the irregular shape processing, known methods such as mechanical processing such as bending, embossing, and stamping can be used.

[Image generation processing by image generation system]
Next, image generation processing by the image generation system will be explained using the flowchart of FIG. 8.

(Step S1: Preliminary scanning process)
In the preliminary scanning process of step S1, the image generation system 1 uses the 3D scanner device 2 to scan the corn 4, which is the object to be 3D scanned, with data of various parameters that are measured values related to the corn 4 (rotation axis of the corn 4). A preliminary scan is performed to obtain the maximum distance from the center point of the rotated cross section to the curved surface, the maximum depth of the unevenness of the curved surface, etc. In this preliminary scan, while the rotation device 21 is rotating the corn 4 by 360 degrees under the control of the scanner control section 24, the scanning section 22 scans the corn 4, thereby scanning various types of corn. Get parameters. The scanner control unit 24 outputs data of various parameters related to the corn 4 acquired through this preliminary scan to the information processing device 3.

(Step S2: Scan rotation process)
In the scan rotation process of step S2 following step 1, the image generation system 1 acquires image data of a scanned image of one location on the corn 4 by the scanner control unit 24 of the 3D scanner device 2, and then rotates the corn 4 by a predetermined amount. By repeating the scan rotation process of rotating the corn 4 by an angle 36 times, image data of 36 scanned images (36 pieces) of the corn 4, which is the 3D scanning object, is obtained. In this step S2, the scanner control unit 24 selects one part of the 3D scan target based on the parameter (maximum depth of the unevenness of the curved surface) related to the corn 4 input from the 3D scanner device 2 via the input/output unit 31. The scan height and number of scans in one scan rotation process performed on a location are determined. Further, in this step S2, if the number of scans performed on one location of the 3D scan object is multiple times, the scanner control unit 24 controls the multiple scan images obtained by the multiple scans. The image data combined with two scan images is taken as the data of one scan image.

(Step S3: Cutting process)
In the cutting process of step S3 following step S2, the image generation system 1 causes the control unit 32 of the information processing device 3 to transmit the scanned images acquired in the first to 36th scan rotation processes via the input/output unit 31. The rotation angle range A ₁ to A ₃₆ (rotation angle θ _b (=10°)) in which the distortion rate (%) calculated based on various parameters related to the corn 4 inputted from the 3D scanner device 2 is 5% or less is determined. Identify. Then, the control unit 32 cuts out the scan image portions obtained by scanning the portions of the corn 4 within each of the specified rotation angle ranges A ₁ to A ₃₆ (rotation angle θ _b (=10°)), and cuts out 36 scanned image portions. Generate a cropped image of.

(Step S4: joining process)
In the joining process of step S4 following step S3, the image generation system 1 uses the control unit 32 of the information processing device 3 to join each of the 36 cut images generated in step S3, thereby creating a picture of the corn 4. A pseudo 3D image 111 is generated.

(Step S5: Storage process)
In the storage process of step S5 following step S4, the image generation system 1 causes the control unit 32 of the information processing device 3 to store data of the pseudo 3D image of the corn 4 generated in step S4 in the storage unit 35.

(Step S6: Transmission process)
In the transmission process of step S6 following step S5, when the image generation system 1 receives a request to acquire data of the pseudo 3D image of the corn 4 (request for purchase, download, etc.) from another information processing device, the image generation system 1 transmits the data to the control unit 32. The pseudo 3D image data of the corn 4 is read out from the storage unit 35, and the read pseudo 3D image data is transmitted to a network (not shown) via the transmitting/receiving unit 34.

(Step S7: Synthesis step)
In the compositing process of step S7 following step S6, the image generation system 1 uses the control unit 32 of the information processing device 3 to add “warm corn potage” onto the image data of the pseudo 3D image 111 of the corn 4 read from the storage unit 35. Processing is performed to synthesize the image data of the product name image 111a, including the product name character image 111a-1, and the image data of the information image 111b, such as the raw materials of the contents (corn potage). Thereby, the control unit 24 generates a design image 110 to be printed on the can body 101, and stores the generated design image 110 in the storage unit 35.

(Step S8: Image forming process)
In the image forming process of step S8 following step S7, the design image 110 generated in step S7 is printed on the outer peripheral surface 103 of the can body 101. As a result, the printed can 100 in which the design image 110 is printed on the outer peripheral surface 103 of the can body 101 is manufactured.

[Modified example]
The techniques of the embodiments described above can be applied to each other including modifications. The above-described embodiments do not limit the content of the present invention, and changes can be made without departing from the scope of the claims.

The three-dimensional object having a curved surface that is the object to be 3D scanned is not limited to the above-mentioned corn 4, but may be another three-dimensional object. Examples of the shape of such a three-dimensional object include a cylinder, a polygonal cylinder (pentagonal cylinder, hexagonal cylinder, etc.), and other shapes. Such three-dimensional objects include, for example, containers such as bottle-shaped or cup-shaped beverage bottles, bottle-shaped or cylindrical beverage cans, or containers containing liquids such as beverages, or In addition to natural objects such as pineapples, bitter gourds, bamboo, and tree trunks, corks, candles, and the like, artificial objects such as objects made of glass and pottery can be cited.

Further, the image capturing device is not limited to the above-described 3D scanner device 2, and may be another image capturing device. For example, the image capture device may be an imaging device (camera) that captures an image of an object. In this case, instead of step S1 described above, an imaging device is placed as an image capturing device at the height D3 in FIG. Take an image of the location and obtain the captured image. Also in this case, the printed can 100 is manufactured by performing the same processes as steps S2 to S8 described above.

Furthermore, when using an imaging device (camera) as an image capturing device, instead of rotating the corn 4 that is the object of image capturing (object to be captured) in step S1 described above, this corn 4 is fixed. The imaging device may be moved around the corn 4 in this state, and the outer circumference (entire circumference) of the corn 4 may be imaged by this imaging device 36 times. In this case as well, the printed can 100 is manufactured by performing the same processes as steps S2 to S8 described above.

In addition, in the above example, the rotation angle range when rotating the 3D scan object (corn 4) in one scan rotation process and the part of the scan image to be cut out in the scan image obtained by the scan rotation process are also determined. Although the rotation angle range of the 3D scanned object was set to the same value of 10 degrees, these values may be other values.

The rotation angle range when rotating the 3D scan target (corn 4) in one scan rotation process is the rotation of the 3D scan target captured as the scan image part to be cut out in the scan image acquired by the scan rotation process. Any value may be used as long as it is less than or equal to the angular range.

For example, the rotation angle range when rotating a 3D scan object (corn 4) in one scan rotation process is 8 degrees, and the rotation angle range is 8 degrees, and the rotation angle range is 8 degrees. Assume that the rotation angle range of the 3D scanned object is 10°. In this case, in step S4 described above, the images to be joined together are joined together with the images overlapped by 2 degrees. In this case, by overlapping the joined parts of the images, it is possible to generate a more beautiful pseudo 3D image in which the joined parts are not noticeable.

In the above example, various parameters related to the 3D scan object (corn 4) (maximum value of the distance from the axis of rotation of the corn 4 (center point of the rotating cross section) to the curved surface, the However, the present invention is not limited to this method, and various parameters may be obtained using other methods. For example, various parameters related to the 3D scan target (corn 4) may be obtained by directly measuring the 3D scan target (corn 4) in advance. In this case, the information processing device 3 inputs and acquires various parameters related to the measured 3D scan target (corn 4) based on the operator's operation on the operation input unit 33. The 3D scanner device 2 performs one scan rotation on one location of the 3D scan object (corn 4) based on the maximum depth of the unevenness of the curved surface among various parameters input from the information processing device 3. Determine the scan height and number of scans in the process. Further, the information processing device 3 calculates the distortion rate (%) described above based on various parameters related to the 3D scan target (corn 4) input based on the operation on the operation input unit 33.

Further, in the above example, the scanning unit 22 scans multiple locations around the entire circumference of the 3D scan target (corn 4), but the present invention is not limited to this, and at least one part of the 3D scan target What is necessary is to scan a plurality of parts of the part. For example, the scanning unit 22 may scan a plurality of locations on a portion of the outer peripheral surface of the 3D scanning object (for example, a rotation angle range of 340 degrees, a range of 350 degrees, etc.).

Also, instead of the LED light source 23 and the reflective material 25 in the above example, the 3D scan object (corn 4) may be placed on the side opposite to the side where the scanning unit 22 scans the object (i.e., the reflective material 25 in FIG. 4). A panel-shaped LED light source may be installed at the installation position), and the 3D scan target (corn 4) may be irradiated with light from the panel-shaped LED light source.

Moreover, the above-mentioned LED light source 23 or the panel-shaped LED light source described in this modification may be a light source equipped with a flickerless function (flickerless light source). This flicker-free function suppresses the flicker of the irradiated light by converting alternating current to direct current or changing the frequency of alternating current from 50 to 60 Hz to a higher frequency such as 7000 Hz. It is. When acquiring a captured image by placing a flicker-free light source under the captured object, the flicker of the light emitted from the light source is suppressed and unevenness in image capture, color unevenness, etc. in the captured image is suppressed. can be prevented.

Furthermore, a colored non-transparent or colored transparent sheet may be placed on the reflective material 25 or the panel-shaped LED light source on the above-mentioned mounting table T. In this case, the object to be 3D scanned is a colorless and transparent three-dimensional object whose outer circumferential surface has irregularities formed by the above-described irregular processing. Then, in the captured image captured by the image capturing device, the unevenness of the 3D scanning object (colorless transparent or colorless transparent three-dimensional object) is emphasized by the color of the colored non-transparent or colored transparent sheet behind it, and the unevenness is The three-dimensional effect becomes easier to recognize. Examples of such three-dimensional objects include, for example, PET (Poly Ethylene Terephthalate) bottles and bottles for beverages whose outer peripheral surface is partially processed to have an irregular shape and a pattern is formed by the irregularities.

Furthermore, the background of the information image is not limited to the plain white color described above. For example, the background of the information image may be colorless and transparent. In this case, if transparent images or other images are displayed in the captured image area behind the information image, those images should not be shown to consumers as the background of the information image in the design image. I can do it.

Further, in the above example, the printed can 100, in which a printed image is formed on the cylindrical can body 101 (cylindrical can) used as a beverage can, was used as an example of the printed substrate. The type of printing substrate is not limited to this, and may be any type. Examples of the material of the printing substrate include metal, resin (plastic etc.), paper, glass, ceramics and the like. Further, the shape of the printed substrate may be any shape, including containers such as a bottle, a cylinder, a polygonal tube, a box, and a pouch, as well as a sheet. Examples of such printing substrates include metal cylindrical or bottle cans, PET (Poly Ethylene Terephthalate) bottles, plastic bottles, glass cylindrical or polygonal bottles, and plastic or paper boxes. In addition to pouch-shaped printed containers made of vinyl or aluminum, shrink films with images printed on them, roll labels, etc., stickers with images printed on them, sheet printing plates, ceramic printing plates, etc. etc. can be mentioned.

Further, in the above example, an example was explained in which a design image is printed on the container body (can body), but the method of forming the printed design image on the container body is not limited to this. For example, the printed container may be a label container formed by pasting a label with a design image printed on the outer surface of the container body. For example, the printed container may be a container in which a shrink film on which a design image is printed is attached to the outer surface of the container body. For example, the printed container may be a container in which a roll label on which a design image is printed is attached to the outer surface of the container body. The shrink film is attached to the container body by being wrapped around the outer surface of the container body and then shrinking by heating. Further, the roll label is attached to the container body by wrapping the label (film) around the outer surface of the container body and then gluing the overlapping portions of the label (film) together.

Examples of the label container include a labeled can, a labeled bottle, etc. to which a label on which a design image is printed is attached. Examples of containers equipped with shrink films or roll labels include, for example, PET bottles with shrink films printed with design images or roll labels mounted on the outer circumferential surface.

1 image generation system, 2 3D scanner device, 3 information processing device, 31 input/output unit, 32 control unit, 33 operation input unit, 34 transmission/reception unit, 35 storage unit, 100 printing can, 101 can body, 102 opening, 103 Outer surface, 104 Bottom, 110 Design image, 111 Pseudo 3D image, 111a Product name image, 111a-1 Product name text image, 111b Information image, 111b-1 Basic information image, 111b-2 Barcode image, 111b-3 Nutrition Information image, 111b-4 Recycling mark image, 111b-5 Caution image, 21 Rotating device, 22 Scanning unit, 23 LED light source, 24 Scanner control unit, 25 Reflective material, 212 Rotation drive unit, 211a, 211b Gripping unit, 213a , 213b support arm, 214a, 214b support stand

Claims (10)

An image generation system that generates a pseudo 3D image that two-dimensionally reproduces a three-dimensional object having a curved surface, and stores the pseudo 3D image in a storage unit,
scanning means for scanning the three-dimensional object;
generation means for generating the pseudo 3D image of the three-dimensional object from the scan image acquired by the scan of the scanning means;
storage means for storing the pseudo 3D image generated by the generation means in the storage unit,
The scanning means determines a height at which to scan one location in the height direction of the three-dimensional object based on the depth of unevenness of the curved surface, and scans the three-dimensional object at the determined height, scanning the three-dimensional object at multiple locations to obtain scan images at the multiple locations;
The image generation system is characterized in that the generation means generates the pseudo 3D image by joining cut images obtained by removing a specific distortion from scanned images at a plurality of locations acquired by the scanning means. The image generation system according to claim 1, wherein the scanning unit scans a plurality of locations around the entire circumference of the three-dimensional object and obtains scanned images of the plurality of locations. The image generation system according to claim 1 or 2, further comprising a transmitter configured to transmit the pseudo 3D image stored in the storage unit by receiving a predetermined instruction. The scanning means scans the three-dimensional object while the three-dimensional object is fixed, and after obtaining a scanned image of one location of the three-dimensional object, performs a scan rotation process of rotating the three-dimensional object by a predetermined rotation angle. By repeating this process, scan images of multiple locations can be obtained.
The generating means is configured to connect the cut images from which a specific distortion has been removed by cutting out an image portion within a specific range based on the magnitude of distortion among the scan images obtained in each of the scan rotation processes. The image generation system according to any one of claims 1 to 3, wherein the pseudo 3D image is generated. 5. The scanning means scans the three-dimensional object multiple times at different heights for one location in the height direction of the three-dimensional object. image generation system. The scanning means determines the number of scans to be performed on one location in the height direction of the three-dimensional object based on the depth of unevenness of the curved surface, and scans the three-dimensional object at the determined number of scans. The image generation system according to any one of claims 1 to 5, characterized by: The image portion within the specific range is
In a rotation section perpendicular to the rotation axis of the three-dimensional object, a virtual circle whose radius is the maximum distance from the rotation axis to the curved surface of the three-dimensional object is assumed, and the scanning means is used to detect the three-dimensional object. A point where the virtual circle intersects with a normal line that connects the scan position at which scanning is performed and the center point of the virtual circle and that coincides with the direction in which the three-dimensional object is taken in from the scan position is defined as a point of contact. In the event that
A point on a tangent line passing through the contact point of the virtual circle and away from the contact point is set as a reference point, and the length of the tangent line from the contact point to the reference point is a first length,
If a point where a perpendicular line perpendicular to the tangent intersects the virtual circle at the reference point is an intersection, and the length of the arc of the virtual circle from the point of contact to the intersection is a second length,
Percentage (%) of the value obtained by subtracting the first length from the second length divided by the second length ((second length - first length)/second length) ) is an image part within a range where the distortion rate (%) of the scanned image is equal to or less than a predetermined value,
The image generation system according to claim 4, characterized in that: The image generation system according to claim 7, wherein the distortion rate is 10% or less. The image generation system according to any one of claims 1 to 8, wherein the three-dimensional object is a cylindrical body. An image generation method that generates a pseudo 3D image that two-dimensionally reproduces a three-dimensional object having a curved surface, and stores the pseudo 3D image in a storage unit,
a scanning step of scanning the three-dimensional object;
a generation step of generating the pseudo 3D image of the three-dimensional object from the scan image obtained by scanning in the scanning step;
a storage step of storing the pseudo 3D image generated in the generation step in the storage unit,
In the scanning step, in the height direction of the three-dimensional object, a height at which one location is scanned is determined based on the depth of unevenness of the curved surface, and the three-dimensional object is scanned at the determined height; scanning the three-dimensional object at multiple locations to obtain scan images at the multiple locations;
An image generation method characterized in that, in the generation step, the pseudo 3D image is generated by joining cut images obtained by removing a specific distortion from the scan images of a plurality of locations obtained in the scanning step.