JPH10277878A - Three-dimensional duplicate forming device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a three-dimensional duplicate forming device which allows shortening of the time required to perform processing. SOLUTION: The features are extracted from the entered three-dimensional shape data, and the optimum material to suit the given features is selected automatically. A material supply part holds materials which have been previously processed coarsely in several sorts of patterns and feeds material according to the selected sort by a material selecting device. The material fed by the material supply part is processed on the basis of the three-dimensional shape data. This system permits determining automatically the optimum material free of necessity to execute coarse processing to lead to shortening of the time of processing.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to an apparatus for producing a three-dimensional object based on three-dimensional shape data.

[0002]

2. Description of the Related Art In a conventional three-dimensional reproduction device, generally, processing data for processing by a processing machine is generated based on three-dimensional shape data. Then, the processing machine processes the material based on the processing data to create a three-dimensional reproduction.

[0003]

However, in a conventional three-dimensional reproduction device, a material having a predetermined shape is processed. Therefore, when the material is significantly different from the size of the shape data, it is necessary to start with a roughing process of processing the material to a size close to the shape data. Therefore, there is a problem that it takes time for processing.

[0004] It is an object of the present invention to provide an apparatus for producing a three-dimensional reproduction, in which the time required for processing is reduced.

[0005]

According to the present invention, there is provided a three-dimensional reproduction creating apparatus for extracting a feature from input three-dimensional shape data, and a material optimal for the feature extracted by the feature extracting apparatus. A material selection device that selects automatically,
A material supply unit that holds a material that has been roughly processed into a plurality of patterns in advance and supplies the material selected by the material selection device, and processes the material supplied from the material supply unit based on the three-dimensional shape data. And a processing machine. That is, features can be extracted from the input three-dimensional shape data, and an optimum material that does not require rough processing can be automatically determined, and the processing time is reduced.

[0006]

Embodiments of the present invention will be described below with reference to the accompanying drawings. FIG. 1 is a perspective view of a three-dimensional duplicate creation device. This device processes a three-dimensional reproduction of the face of a person standing in front of it (user) on the spot.
Although various types of three-dimensional reproductions can be considered, for example, a three-dimensional reproduction in which a reproduction in the first half of the user's face protrudes from a square plate. A background portion can be combined with a three-dimensional copy. This creation device processes and provides a three-dimensional copy on the spot. A light projecting window 12 and a light receiving window 14 are provided on the front surface of the box 10 of the three-dimensional copy creating apparatus. When the user stands in front of the box 10, light emitted from the light emitting window 12 is reflected by a human face and received by the light receiving window 14. Thereby, the three-dimensional shape data of the face is measured. Once the posture or composition of the user is determined, the user's face is measured in three dimensions. The obtained three-dimensional image is displayed on the display device 16. If the user is dissatisfied with this composition, a new composition is taken and the face is measured and displayed again. When the user gives an instruction to confirm that a three-dimensional image displayed on the display device 16 is sufficient by using the operation panel 18, a three-dimensional reproduction is processed by a processing device provided inside the box 10. The user takes out the created three-dimensional copy from the exit 20. In the present embodiment, a three-dimensional image is measured using a light section method, but a pattern light projection method, a stereoscopic method, an interference fringe method, or the like may be used.

FIG. 2 is a block diagram showing a device configuration of the three-dimensional copy creation apparatus. A display unit (including a monitor) 1 is provided to a control unit 30 for controlling the entire three-dimensional copy creating apparatus.
6. The operation unit 50, the measurement unit 60, and the processing unit 70 are connected. The control unit 30 includes a main controller 32,
A characteristic data storage unit 34, a data conversion unit 36, and a processed data creation unit 38 are provided. Further, an outlet sensor 40 for detecting the removal of the three-dimensional copy is installed in the outlet 20 and connected to the main controller 32. The operation unit 50 includes an operation panel 18. The measuring unit 60 includes a three-dimensional measuring unit 64
(Including the light projecting window 12 and the light receiving window 14) and a two-dimensional image capturing unit 66 (commonly used for the light projecting window 12 and the light receiving window 14) 66, which are controlled by the measuring instrument controller 62. The processing unit 70 includes a processing machine 72 controlled by a processing machine controller 74.
The material supplied from 6 is processed. The functions of the measuring instrument controller 62 and the processing machine controller 74 may be provided in the main controller 32, and all of the functions may be controlled by the main controller 32.

FIG. 3 shows the operation panel 18. The operation panel 18 includes a start button 50, a confirmation button 52, and a cancel button 54. Further, the display device 1
6 is provided with a joystick 56 (illustrated schematically). The start button 50 is pressed when deciding the composition, the confirmation button 52 is pressed when confirming the three-dimensional display, and the cancel button 54 is used when the three-dimensional display is different from what the user imagined. Pressed to take another composition again. The joystick 56 is connected to the display device 16.
In the case where a three-dimensional image is rotated in various three-dimensional directions and displayed, it is provided to instruct rotation of the image.

FIG. 4 shows a processing machine 7 of a processing section 70 of the extrusion system.
FIG. 2 is a perspective view of a material supply device 2 and a material supply device 76. Materials for processing are
In the processing table 200, the two positioning jigs 20
2 and clamp jig 204. The processing tool 206 cuts a material with a drill 208. Eight materials are provided in the two material stock sections 210 of the material feeder 76. In the material stock section 210, eight kinds of processing materials are stacked on the elevator 220, respectively.
The material of the uppermost layer is moved by the extrusion tool 218 to the transfer path 212.
(See arrow). Extrusion drawing jig 214
Is provided at the end of the transfer path 212 provided between the material stock sections 210, and is transferred from the material stock section 210 to the transfer path 212.
The material 216 extruded into the processing table 200 is extruded (see the arrow). Also, the extrusion pulling jig 214
Pulls out the material processed on the processing table 200,
The product is sent out from the product outlet 222. It should be noted that the material can be moved using the transfer path 212 itself as a slide, instead of including the extrusion pulling jig 214.

FIG. 5 is a perspective view of a modification of the processing machine 72 and the material feeder 76 of the processing section 70 of the elevator system. The material stock section 250 is provided with six types of processing materials. These materials are arranged on the left and right in three steps. Material 252 selected from the material stock section 250 is extruded onto a platform of an elevator 248 located between the material stock sections 250. The table is provided with a positioning jig and a clamp jig, and fixes the material 252. When the elevator 248 is raised to a predetermined position, the processing tool 240
Cuts the material 252 with the drill 242.

FIG. 6 is a perspective view of another modification of the processing machine 72 and the material feeder 76 of the processing section 70. The processing controller 72 controls the robot 260, the material stocker 264, and the processing tool 270. The material stocker 264,
A plurality of types of materials 266 are stocked. Robot 260
Transports one material 266 from a material stocker 264 onto a processing stage 268. The material 266 is fixed at a processing position on a processing stage 268 by a positioning jig 272, and is processed by the processing tool 270. After processing, the duplicate is sent to the take-out port 274. In addition, the processing machine shown in FIGS. 4 to 6 processes a material by cutting, but uses a lamination molding method (including an optical molding method), a laser processing (thermal processing), a molding processing (pressing and the like), and the like. May be processed. FIG. 4-
As shown in FIG. 6, a material selected from a plurality of types of materials is supplied from the material supply device 76. When the material has an undulating shape, it is difficult to stack the material in the material supply device 76, but the supply can be performed by providing a guide such as a cylinder. As these materials, a plurality of materials having a standard face shape may be prepared and selected from them.

FIG. 7 shows a main flow of the main controller 32 of the control unit 30. Until the start button 50 is pressed on the operation panel 18, a two-dimensional image is displayed on the display device 16 as a moving image. Thus, the user can determine a desired composition. First, a two-dimensional image of the user's face is captured by the two-dimensional image capturing unit 66 (step S100), and the obtained two-dimensional image is displayed on the display device 16 (step S102). Then, it waits for the user to press the start button 50 (step S10).
4). The display of the two-dimensional image is repeated until the user is satisfied with the composition. When the user decides on the composition,
The start button 50 on the operation panel 18 is pressed. When the press of the start button 50 is detected (YES in step S114), the two-dimensional image capturing unit 66 captures a two-dimensional image of the user's face (step S106), and the three-dimensional measuring unit 64 captures the three-dimensional image of the user's face. A two-dimensional image is measured (step S108). Next, data processing is performed on the measurement data (step S110). Here, as described later, since the shape data is compressed in the height direction by the depth correction, the processing time of the material can be reduced. Also, as described later, the product to be output, ie, 3
Data conversion is performed on the two-dimensional shape model according to the shape and quality. Thereby, the processing product (3
The shape measurement data is automatically converted according to the shape (size, etc.) and quality (roughness, smoothness, etc.) of the dimensional model, and a series of processes from shape data input to machining are simplified. Next, the three-dimensional shape after the data processing is displayed on the display device 16 and waits for a user's instruction. This display allows the user to confirm the result of the actual processing.
For the three-dimensional display, various known methods such as displaying a shadow are used. When the user presses the confirmation button 52 on the operation panel 18, the depression of the confirmation button 52 is detected (YES in step S114), and the process proceeds to a machining operation. But 3
When the user presses the cancel button 54 on the operation panel 18 after the dimension display (step S112) (step S112).
YES at 116), the flow returns to step S100,
The user can take another composition. in this way,
Since processing is started after the user confirms the image after data processing, a three-dimensional copy desired by the user can be created, and the processing material is not wasted.
The main controller 32 may be provided with an image input unit for inputting data from outside. Thereby, the image data of the target object (or the image data and color of the target object) is input from outside. Processing is performed based on input data.

FIG. 8 shows a flow of a modification using the joystick 56. The user has a joystick 5
6, images after data processing can be confirmed from various directions. After the data processing in FIG. 4 (step S110), three-dimensional display is performed on the display device 16 from the front (Z direction) (step S140). Next, when the user operates the joystick 56 (step S142), the flow is as follows.
Branching is performed according to a rotation instruction signal from the joystick 56. In response to rotation instructions in the X, Y, and Z directions, X
Direction (step S144), Y direction (step S14)
6), rotation in the Z direction (step S148) is performed, and a corresponding three-dimensional display is performed (step S15).
0). Thus, the user can confirm the three-dimensional reproduction from various directions. Here, if the user presses the confirmation button 52 on the operation panel 18 (YES in step S152), the process proceeds to step S118 in FIG. If the user presses cancel button 54 on operation panel 18 (YES in step S154), the flow proceeds to step S154.
Returning to 100, the user can take another composition.

Referring back to FIG. 7, in the processing, first, in the processing, processing data is created by referring to a processing condition database from the shape data (step S118).
The processing data is sent to the processing unit 70, and the processing unit 70 processes the material to create a three-dimensional processing model (step S1).
20). When the workpiece is discharged (step S122) and the outlet sensor 40 detects that the processed product has been taken out (YES in step S124), the flow returns to step S100, and the next three-dimensional replicated product is generated. Perform

Hereinafter, the generation of a three-dimensional reproduction will be described in more detail. Three-dimensional measurement (FIG. 7, step S11)
In 2), the three-dimensional shape of the three-dimensional object (face) is measured. As shown in FIG. 9, the three-dimensional measuring unit 64 measures a distance (from the measuring unit 64) to a point where a line of sight passing through points arranged in a grid on the perspective projection plane intersects the object surface for the first time. . Therefore, the shape data is provided as point sequence data arranged in a grid, having coordinate values and distance values in three-dimensional orthogonal coordinates with the predetermined position of the three-dimensional measuring unit 64 as the coordinate center. At this time, the measurement points at which measurement cannot be performed because the measurement points are out of the measurement range or the like are stored as data marked as missing. in this way,
In this embodiment, sampling is performed on the perspective projection plane. However, in three-dimensional measurement, as shown in FIG. 10, a line of sight passing through points arranged in a grid on the parallel projection plane intersects the object surface for the first time. The distance to the point (from the three-dimensional measuring unit 64) may be measured.

FIG. 11 shows the data processing (FIG. 7, step S
110). Here, various processes including a process for shortening the processing time are performed on the shape data input by the three-dimensional measuring unit 64. First, irregular data such as noise is removed from the measured data by a smoothing process (step S200). Next, re-sampling processing is performed (step S202). For example, when the face is facing obliquely, the input data is converted into data aligned by grid points at equal intervals projected in parallel from a certain direction in order to directly face the input data in the processing direction. FIG.
Here is an example. For example, if a person's face is under the nose and cannot be measured due to shadows, after performing a three-dimensional measurement with the face facing up,
The data can be converted to represent a normal frontal face. When there is no measurement point at the position where the grid point is projected (for example, a in FIG. 12), linear interpolation is performed using measurement values around the measurement point. At this time, the projected direction is vertically above when processing, and each grid point has height data. Further, when the input data is not parallel projection such as perspective projection, the input data can be converted into parallel projection data by this processing.

Next, a complementing process (FIG. 11, step S20)
4) is performed to compensate for missing data. Various methods such as linear interpolation and weighted interpolation are used as the complementing method. For example, replace all missing data with fixed values (simple interpolation). As the fixed value, (a) a predetermined value, (b) a minimum height, and (c) an average value of the data outer peripheral portion are used. If the missing part is completely surrounded by data, linear interpolation is performed from surrounding data. Also, for example, an optical type 3 such as a black eyebrow or hair on a human face is used.
Data may not be obtained by the dimension measurement unit 64 in some cases. In such a case, the part where the data is missing is a predetermined 3
Replace with dimensional shape data. For this reason, predetermined standard face data is prepared, and the model data is used in the missing part. At this time, the position and size need to be adjusted. In this adjustment, for example, step S106 in FIG.
The linear transformation is performed so that the triangles in the three-dimensional shape data corresponding to both eyes and the mouth of the color image obtained in step 3 become the same as the corresponding triangles of the model. This synthesis can use not only the missing part of the face but also any three-dimensional shape data.

Next, height compression processing (FIG. 11, step S
206), the shape data is compressed in the depth direction, and the range in the height direction is made narrower than the original data. If the unevenness in the depth direction is large, the processing time becomes longer. However, by compressing in the depth direction, the processing portion can be reduced and the processing time can be reduced. Also, by converting an extremely deep portion (background portion) into predetermined data (shallow depth data), the number of processed portions can be similarly reduced and the processing time can be reduced. Hereinafter, the height compression will be described in detail. An appropriate height compression method is adopted according to the nature of the processing target. Height compression techniques include uniform compression processing and non-uniform compression processing. For the uniform compression process, for example, various algorithms as shown in FIGS. In uniform compression, the height z _i at each grid point _i
Is replaced by a value converted by a function of Z = f (z _i ). One approach is a linear transformation f ₁ (z) = az + b (where z is the height, a and b are constants and 0 <a <1). FIG. 13 shows an example of linear conversion (f ₁ (z) = 0.5z).
Is shown.

FIGS. 14 and 15 show examples of nonlinear continuous conversion. In particular, in data such as a human face, it is considered that characteristic portions are concentrated in high places (where they are near when viewed from the three-dimensional measurement unit when inputting three-dimensional data). Increase the degree. One approach is the square transformation f ₂ (z) = a (z−b) ² + c (where z is the height, a, b, and c are constants and 0 <a). FIG. 14 shows an example of the square transformation (f ₂ (z) = 0.005).
z ² ). Another approach is the exponential transformation f ₃ (z) = c
b ^az + d (where 1 <a). FIG. 15 shows an example of the exponential conversion (f ₃ (z) = 8 * 1.02 ^z ). FIG.
6 and 17 show examples of the nonlinear discontinuous transform for removing unnecessary portions. One approach is a hollow transform, as shown in the following equation. f ₄ (z) = z where z <d ₁ = d ₁ where d ₁ ≦ z ≦ d ₂ = z + d ₁ −d ₂ where d ₂ <z , Used to eliminate from the ear to the cheek. FIG. 16 shows that d ₁ = 20 and d ₂
= 60 is shown. Another method is, for example, a clipping process represented by the following equation, and data outside a predetermined range is set to a constant value. FIG. 17 shows the first clipping process.
Here is an example. f ₅ (z) = 0, where z <30 = z, where 30 ≦ z ≦ 80 = 50, where 80 <z Data z that is equal to or less than a predetermined value is set to 0, and data z that is equal to or greater than a predetermined value Is set to a constant value.

In the non-uniform compression processing, the height z _i at each grid point i is replaced with a value converted by a function Z = g (x _i , y _i , z _i ). Here, x and y are the coordinates of the grid. In particular, in data such as human faces, characteristic portions are considered to be concentrated at the center, and therefore the degree of compression is increased at the end portions. In this case, it is necessary to estimate a central part of the data from the three-dimensional data and the color image data. For example, the center of the data is the center of gravity of x, y data, or the center of gravity of three-dimensional data corresponding to a triangle formed by eyes and mouths extracted from a color image in the case of a face or the like. Alternatively, when inputting data, it is necessary to position the object such that the center of the object is at a predetermined position. One approach is a point-symmetric transformation. The following equation shows an example of the point symmetric transformation. g ₁ (z) = zf (c − ((x−a) ² + (y−b) ² ) ^1/2 ) where f is any of the functions described in the above uniform compression conversion, y = b is the coordinates of the data center. Also,
Another approach is a line-symmetric transformation. The following equation shows an example of the line symmetric transformation. g ₂ (z) = zf (c− | y−b |) Here, f is any of the functions described in the above uniform compression conversion, and (x, y) = (a, b) is the data The coordinates of the center. For example, line object conversion is performed on the left and right sides of the face. Note that the uniform compression conversion and the non-uniform compression conversion can be used together. For example, the following equation shows one example. g ₃ (z) = f (z) f (c − ((x−a) ² + (y−b) ² ) ^1/2 ) where f is any of the functions described in the uniform compression conversion described above. Is.

Returning to FIG. 11, the description is continued. Next, the background portion of the three-dimensional shape data is detected (step S20).
8). The processing time is shortened by converting an extremely deep portion (background portion) into data having a predetermined shallow depth. Next, the background portion is converted into predetermined shape data and synthesized with the three-dimensional shape data of the object (step S).
210). The predetermined shape data may be data having a fixed height or shape data having irregularities. Further, shape data of another three-dimensional object such as a flower or a tree may be used. As a specific example of background detection, a blue background is set after the measured object, and if the depth is equal to or more than a predetermined value and the color of the two-dimensional image in the area is blue, it is determined that the area is the background.

Next, conversion of three-dimensional shape data based on the characteristics of the shape and quality of the three-dimensional model will be described (FIG. 11, steps S212 to S216). First, the size is adjusted (FIG. 11, step S212), and the scale is adjusted by multiplying the coordinate value by a constant according to the size of the processed object or the size of the processed object. As shown in FIG. 18, the data on the left is converted into data on the right, and is made to correspond to the size of the workpiece (indicated by a broken line). FIG.
9 shows a flow of size conversion as an example of size adjustment. The shape analysis is performed on the three-dimensional measurement data input from the three-dimensional measurement unit 64 (step S220). The size (vertical, horizontal, depth) of the object calculated as a result of the shape analysis is compared with the shape size of the output model set in the characteristic data storage unit, and the object is adjusted to the output model size 3 The magnification of the dimensional shape is converted (step S22)
2). Using this magnification, the magnification is converted from the three-dimensional shape data to the output model size, and an output model shape is generated. Based on the output model shape thus created, machining data is created under the machining conditions set in the characteristic data storage unit 36 in the control unit 30 (FIG. 7, step S11).
8). The processing data is transferred to the processing unit 70, and three-dimensional processing is performed to generate a three-dimensional model. In this way, the shape measurement data is automatically converted based on the shape and quality to be output, so that three-dimensional shape data can be easily and stably generated to a predetermined specification.

FIG. 20 shows a processing size reduction flow which is a modification of the size conversion flow. In this flow, the shape data is scaled in the vertical, horizontal, and height directions, and reduced to a size that can be accommodated in a material of a fixed size. As a result, the volume of the processed portion is reduced, and the processing time is reduced. First, a data shape is input (step S230).
The current size of the input shape data is recognized (step S232). Next, the current size is scaled according to the size of the material to be used as standard (read from the characteristic data storage unit 36), and the height, width, and height are reduced (step S234). In addition, the processing speed can be increased by particularly extremely compressing in the height direction.

Next, resolution conversion (FIG. 11, step S2)
14) is performed, and resampled at grid points having different grid widths in accordance with the accuracy of the processing machine 72. This process is almost the same as the resampling in step S202, but the projection direction is fixed in the z direction (vertically upward). As shown in FIG. 21, the grid points of the data shown on the left are matched with the grid points of the processing machine shown on the right. The resolution is determined in step S20.
After adjusting the size in accordance with the processing in step 8, the shape data is converted in accordance with the resolution, so that even if the processing accuracy of the processing machine 72 is lower, appropriate shape data can be obtained.

FIG. 22 shows the flow of data number conversion for resolution conversion (step S214 in FIG. 11). The shape quality of the size output model is defined by defining a group of constituent points by a point-to-point pitch and a vector change amount, and reading and setting a point-to-point pitch range corresponding to the vector change amount from the characteristic data storage unit 36. When the pitch between points deviates from the range, data conversion (resolution conversion) is performed so as to fall within the range. FIG.
In the flow shown in FIG. 19, the shape data corresponding to the magnification obtained in FIG. 19 is analyzed to obtain a point-to-point pitch and a vector change amount of the shape data (step S240). It is determined from the inter-point pitch and the inter-point pitch range set according to the vector change amount whether or not it is within the set range (step S24).
2). This determination is required when the input device has not been determined. This is because the resolution changes depending on the measuring instrument and the measuring conditions. If it is not within the set range, the data is converted (step S244). For a complex part with a large vector change, a large value range is set as the pitch.For a part with a small vector change, a small value range is set for the pitch. Is thinned to increase the pitch. If the pitch is too large, data is interpolated to reduce the pitch so that the pitch falls within the range.

When the measured shape data has a sufficient resolution, only the thinning process may be performed. The following is an example. FIG. 23 shows a flow of thinning out shape data for data number conversion. In this flow, data that can be omitted is thinned out in accordance with the required shape accuracy (the above-described pitch between points and vector variation). Thereby, high-speed processing can be performed. First, the fineness (point-to-point pitch, vector change amount) of the input shape data is recognized (step S260). Next, the recognized pitch between points,
The vector change amount is compared with a pitch range corresponding to the vector change amount (step S262). If data can be thinned out, thinning is performed (step S264).
In the data processing, finally, positioning (FIG. 11, step S216) is performed. The coordinate origin is translated so that the reference position of the three-dimensional data coincides with the reference position of the processing range.

Next, processing data is created (FIG. 7, step S
118) will be described. Material supply section 7 of processing section 70
6, a plurality of types of materials are prepared. Therefore, features of the input shape data are extracted, and a material having a shape close to the extracted shape data is selected and used. This reduces the volume of the portion to be processed and shortens the processing time. Further, rough machining for determining the material shape is not required, so that the machining time can be shortened and the life of the tool is prolonged. There are various quantities as features, but in the following example, pattern matching is used to compare the pattern of shape data with the pattern of material,
Select the material with the closest pattern. FIG. 24 shows an example of a flow of processing data creation. The data obtained by the three-dimensional measuring unit 64 has been converted into shape data (coordinate data) by data processing. Here, the shape data is patterned and set to a level that can be compared with the material shape data (material pattern) stored in the material database (DB), and the shape data and the material shape data are compared.
Features are extracted (step S300). For example, the sum of the differences in the height direction is obtained. Then, the shape of the material is determined based on the comparison (step S302). For example, a material having the smallest difference is selected. Next, the deviation value in determining the material shape is compared with the deviation reference value (step S3).
04) If it is larger than the deviation reference value, processing data for roughing processing is created with reference to the processing condition database in the characteristic data storage unit (step S306). Next, finishing processing data is created with reference to the processing condition database (step S308). The processing data for roughing and finishing is data indicating how the processing machine 72 moves. The processing unit 70 conveys the determined material to the processing position, and performs processing based on the processing data (step S12).
0). In the above-described flow, the rough cutting is performed on a portion exceeding the deviation reference value. However, the processing speed of the portion may be reduced without performing the rough cutting. As a result, the load on the tool is reduced, and failure of the processing machine can be prevented.

Creation of processing data (steps S306, S3
08) takes time. Therefore, in order to reduce the time, processed data prepared in advance may be used. FIG. 25 shows a flow of the modification. First, a pattern is recognized for each part of the shape data, and a comparison is made with reference to a pattern database for each part, and a match (or similarity)
A pattern to be searched is searched (step S320). next,
Based on the searched pattern and the material determined earlier,
Processing data is specified from a database (table) of processing data for each pattern as shown in Table 1, and the processed data is connected to form the entire processed data (step S322).

[Table 1]

In another modified embodiment, the material to be processed is made from a combination of basic parts. FIG. 26 shows a flow in this case. First, a pattern is recognized for each part (basic part), and a comparison is made with reference to a pattern database for each part to search for a matching (or similar) basic part (step S400). Next, the previously determined basic parts are combined into a material for processing (step S402). Next, the process proceeds to step S304 in FIG. 24 using this material to create processing data and perform processing.

[0030]

According to the present invention, since the shape of the raw material to be processed is determined from the characteristics of the input three-dimensional shape, the optimum raw material is used for each shape data. This eliminates the need for roughing, and can reduce the time required for the processing.

[Brief description of the drawings]

FIG. 1 is a perspective view of a three-dimensional duplicate creation device.

FIG. 2 is a block diagram of a three-dimensional duplicate creation device.

FIG. 3 is a plan view of an operation panel.

FIG. 4 is a perspective view of a processing unit.

FIG. 5 is a perspective view of a modification of a processing unit.

FIG. 6 is a perspective view of another modification of the processing section.

FIG. 7 is a main flowchart of the main controller.

FIG. 8 is a main flowchart of a main controller in a modified example.

FIG. 9 is a diagram showing sampling on a perspective projection plane.

FIG. 10 is a diagram showing sampling on a parallel projection plane.

FIG. 11 is a flowchart of data processing.

FIG. 12 is a diagram for explaining resampling.

FIG. 13 is a diagram illustrating an example of a height compression process.

FIG. 14 is a diagram illustrating an example of a height compression process.

FIG. 15 is a diagram illustrating an example of a height compression process;

FIG. 16 is a diagram illustrating an example of a height compression process.

FIG. 17 is a diagram illustrating an example of a height compression process;

FIG. 18 is a diagram illustrating size adjustment and alignment.

FIG. 19 is a flowchart of size conversion.

FIG. 20 is a flowchart of shape reduction.

FIG. 21 is a diagram illustrating resolution conversion.

FIG. 22 is a flowchart of data thinning.

FIG. 23 is a flowchart of data number conversion.

FIG. 24 is a flowchart of processing data creation.

FIG. 25 is a flowchart of processing data creation.

FIG. 26 is a flowchart of processing data creation.

[Explanation of symbols]

16 display unit, 30 control unit, 34 data processing unit, 36 specific data storage unit, 38 processing data generation unit, 50 operation unit, 64 three-dimensional measurement unit, 70
Processing section, 72 Processing machine, 76 Material supply machine.

Claims (1)

[Claims] 1. A feature extracting device for extracting features from input three-dimensional shape data, a material selecting device for automatically selecting a material optimal for the features extracted by the feature extracting device, and a plurality of types of patterns A material supply unit that holds a material that has been roughly processed and supplies the material of the type selected by the material selection device, and a processing machine that processes the material supplied from the material supply unit based on the three-dimensional shape data And a three-dimensional reproduction making apparatus.