JP2006338618A - Image calculation system and method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To automatically assign attributes to an appropriate number of new models stored in a memory and automatically calculate an image for rendering the new models on a display part in consideration of the attributes. <P>SOLUTION: An image calculation system 1 for assigning an attribute to a new model 11 stored in a memory and calculating an image for rendering the new model on the display part in consideration of the attribute comprises a table 7 for storing an identifier corresponding to each reference model and an attribute associated with the identifier, and an attribute assignment means for assigning a corresponding attribute to the new model 11. The attribute assignment means, before image calculation, searches for the attribute of such a reference model identifier described in the table 7 describing the attribute associations as matches the identifier of the new model 11, and assigns the attribute found to the new model 11 for rendering calculation. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an image calculation system and method for determining a texture using attributes, and more particularly, to calculate an object (model) to be drawn and to express the texture of the model when calculating an image with a computer. In addition, when setting / editing the light reflection characteristics of the object surface (an operation that must be performed when producing a CG image), an image calculation system for automating the work of setting the light reflection characteristics of the object surface, and It relates to that method.

  Conventionally, when an image is calculated by a computer, three-dimensional shape data describing the shape of an object (hereinafter simply referred to as a model) and attributes (hereinafter simply referred to as attributes) are used as basic data to express the texture of the shape. As shown in FIG.

  The model can be observed on a computer screen by performing image calculation after selecting the model and associating the corresponding attribute. Therefore, in the image calculation by the computer, the work of “creating a model and setting attributes to this model” is surely performed.

  More specifically, as shown in FIG. 6, first, in step S601, the operator performs a model shape creation process. In step S603, the operator performs a process of assigning a model name. In step S605, the operator performs model attribute setting processing. In step S607, image calculation program processing is performed.

See also Patent Document 1.
JP 2004-310486 A

  However, when an image is calculated by such a method, attribute association work is required for the number of models, and the attributes include, for example, diffuse reflection coefficient, specular reflection coefficient, transparency, flake particle size, flake density, Expert knowledge such as reflection bias and reflection glass is required, and there is a problem that even an expert needs considerable time for attribute association work.

The present invention has been made in view of the above problems, and the invention according to claim 1 assigns an attribute to a new model stored in a memory, and takes the new model into a display unit in consideration of the attribute. In an image calculation system for calculating an image to be drawn,
An identifier corresponding to each reference model, and a table storing attributes associated with the identifier;
An attribute giving means for giving the attribute to the new model;
The attribute assigning means searches for an attribute that matches the identifier of the new model and the identifier of the reference model described in the table describing the association of attributes before performing image calculation, An image calculation system that performs drawing calculation by assigning to the new model.

  The invention according to claim 2 is the image calculation system according to claim 1, wherein the data of the table is generated by directly reading and generating the attribute from the three-dimensional data of the existing model to which the attribute has already been assigned. is there.

  The invention according to claim 3 is the image calculation system according to claim 1 or 2, wherein the matching condition between identifiers includes a wild card.

The invention according to claim 4 is an image calculation method for assigning an attribute to a new model stored in a memory and calculating an image for drawing the new model on a display unit in consideration of the attribute.
Storing an identifier corresponding to each of the reference models and an attribute associated with the identifier in a table;
An attribute assigning step of assigning the attribute to the new model,
The attribute assigning step searches for an attribute that matches the identifier of the new model and the identifier of the reference model described in the table describing the association of attributes before performing image calculation, It is an image calculation method for assigning to the new model and performing drawing calculation.

  Since the corresponding attribute is automatically given from the name of the model that created the shape, you can get the relationship between the model and the attribute without performing the work of `` setting the attribute '' to the model that created the shape, There is an effect that image calculation of the model can be performed.

  In addition, when a human creates a table (file) describing the association between model names and attributes, it takes time and input errors are likely to occur, but the association file is generated by the program, so the association between the model name and the attributes In addition to reducing the production time of the table (file) in which is described, there is an effect that an input error does not occur.

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

  FIG. 1 shows a schematic configuration of the image calculation system 1.

  The image calculation system 1 is composed of a computer, and includes a computer main body, a display device, a mouse / keyboard, etc. (not shown).

  The computer main body includes a CPU (Central Processing Unit) 3 and a storage device 5. Further, an external storage device 7 is connected to the computer main body.

  Then, image calculation processing is performed by the image calculation software 9 loaded on the CPU 3.

  The storage device 5 stores model shape data (new model) 11.

  The external storage device 7 stores a table (file) 13 describing the association between model names (identifiers) and attributes.

  When performing the drawing calculation, the image calculation program 9 matches the matching condition of the model name created from the model name described in the table (file) describing the association between the stored model name and the attribute. This software is characterized by searching for what to do and drawing and calculating by applying the attribute corresponding to the model created from the search result.

  More specifically, attributes are associated with names given to models and shapes. Note that the name given to the model or shape is for identifying the model, and is not limited to the name, but may be anything that can be identified.

  On the other hand, data describing the association between model names and attributes is created in the table (file) 13 and stored in an external storage device.

  2A, 2B, and 2C show the detailed contents of the table 13 that describes the association between model names and attributes stored in the external storage device 7. FIG. It can be divided into a table 13A in which an identifier (model name, etc.) and a texture name (attribute) are associated, a table 13B, in which an identifier (texture name) and a texture name (attribute) are associated, and the like.

  In the present embodiment, an automobile will be described as an example, but it is a matter of course that all objects that can be a target of CG (Computer Graphics) design can also be a target.

  That is, as shown in FIG. 2A, the model name as an identifier includes at least a body, a bonnet, a tire, a handle, and the like as a part model of an automobile.

  These model names (identifiers) are associated with texture names (metallic 1, metallic 2, rubber, leather) as attributes and stored in the table 13A.

  Further, as shown in FIG. 2B, a texture name may be used as an identifier. That is, a texture name (Metallic (A), Metallic (B), Rubber, Leather) as an identifier is associated with a texture name (Metallic 1, Metallic 2, Rubber, Leather) as an attribute and a file (table). 13B is stored in XML format.

  Here, the XML (eXtensible Markup Language) format file preferably has the following data structure, for example.

<Material list>
<Material name = “Metallic 1”>
<Type> metallic </ type>
<Color (Red)> 12 </ Color (Red)>
<Color (green)> 200 </ color (green)>
<Color (blue)> 120 </ color (blue)>
<Diffuse reflectance> 1.2 </ diffuse reflectance>
...
</ Material>
<Material name = “Metallic 2”>
<Type> metallic </ type>
<Color (red)> 3 </ color (red)>
<Color (Green)> 23 </ Color (Green)>
<Color (blue)> 124 </ color (blue)>
<Diffuse reflectance> 0.3 </ diffuse reflectance>
...
</ Material>
<Material name = “Rubber”>
<Type> phone </ type>
<Color (red)> 4 </ color (red)>
<Color (Green)> 67 </ Color (Green)>
<Color (blue)> 245 </ color (blue)>
<Diffuse reflectance> 1.2 </ diffuse reflectance>
...
</ Material>
...
</ Material list>
On the other hand, for example, as shown in FIG. 2C, the identifier may be a color (for example, a color as a ratio of red, green, and blue). The texture names (metallic 1, metallic 2, rubber, leather, etc.) associated with the color as the identifier are associated with each other and stored in the table 13C.

  In the above description, the texture name (attribute) is preferably a name of a texture that exists in advance in the three-dimensional data (model) to be read. The color is preferably texture color information that exists in advance in the three-dimensional data (model) to be read. The identifier can be selectively determined from the model name, the texture name, and the color.

  The attributes can include diffuse reflectance, specular reflectance, bias, transparency, flake density, and the like. Here, the diffuse reflectance is a coefficient that defines the diffuse reflectance, and the reflectance is individually defined for each of the RGB (Red, Green, Blue) elements. For example, it is used to express a rough surface such as rubber.

  The specular reflection coefficient is a value that defines the reflectance of specular reflection. That is, the reflectance is individually defined for each color element of RGB (Red, Green, Biue). For example, it is used to express the color of a surface that easily reflects light such as plastic or metal.

  The transparency is a value that defines the light transmittance on the surface. And the ratio which the light which injected from the back of the surface permeate | transmits becomes so large that a value is large. A value of 0 is a completely opaque object, and a value of 1 is a completely transparent object. For example, it is used to express a glass-like surface.

  The flake density is a value for expressing metallic paint used in car painting or the like. Metallic paint shows a texture with a distinctive graininess because fine metal pieces (flakes) are contained in the paint, but this texture is the density and orientation of the flakes (whether they are sleeping or standing on the surface) Will vary greatly. For example, it is used to express a metallic paint surface.

  The reflection bias is a value for expressing the reflection of the surrounding landscape. You can see the surrounding scenery reflected on the glass surface. This reflectance is called Fresnel reflectance, and calculation is performed based on the Fresnel coefficient and the reflection bias. For example, it is used to express a glass surface or a clear coat painted surface.

  FIG. 3 shows a table (file) creation system 15 describing the association between model names and attributes.

  As a method of creating a table (file) that describes the association between model names and attributes, the model name is obtained from 3D data that associates the model with attributes without using the table (file) that describes the association between model names and attributes. It is desirable to generate a table (file) that describes the association between the attribute and the attribute and store it in the storage device.

  That is, the table creation system 15 includes a table (file) extraction program 17 describing the association between model names and attributes, and an external storage device 19.

  The external storage device 19 stores three-dimensional data 21 of an existing model and a table (file) 23 describing the association between model names and attributes.

  Then, the data of the table (file) 23 is directly read and generated from the three-dimensional data 21 of the existing model to which the attribute has already been assigned by the extraction program 17 and is given to the new model.

  FIG. 4 shows an outline of the attribute assignment system 25. The attribute assigning system 25 calculates an external display device 7, a model creation unit 27 that creates a new model, a model name assignment unit 29 that adds a name (identifier) to the new model, and an image to be displayed in consideration of the attributes. The image calculation program 31 is provided.

  The external storage device 7 stores a table (file) 13 describing the association between model names and attributes.

  When a new model is created, a name is assigned to identify the new model.

  At this time, the model name is determined with reference to the model name described in the table (file) 13 describing the association between the model name and the attribute. Note that the name automatically output for the new model may be a mechanical name.

  For example, if you want to make a car with a blue metallic attribute, make it the name Body. With this name (identifier), an attribute parameter necessary for drawing calculation can be set.

  Here, the character string “body” can be used as a keyword, and the other characters can be ignored. For example, even if the model name is a character string of Corolla (registered trademark) body, it can be handled as a body because the character string of body is included by specifying “** Body **”. ** is a wild card and means that any number of characters and characters can be used.

  An example of a table (file) in which various parameters based on the character string “body” are associated is shown. The drawing calculation program performs drawing calculation with reference to the color, specular reflectance, diffuse reflectance, and the like from this table.

  Further, the standard model may be searched by group name. As the data scale increases, the number of models increases greatly. Then it takes a lot of effort to name each model. In the case of searching using group names, it is not necessary to give names registered in the table to individual models, and it is only necessary to give the names of the groups registered in the table to the groups to which those models belong. Here, the attributes of the models included in the group are the same.

  FIG. 5 shows the operation of a system (image calculation program or the like) that assigns attributes to the model described above.

  First, in step S501, a new model shape is created.

  In step S503, which "table describing the association between model name and attribute" is specified from a plurality of tables. A table may be prepared for each field (for example, automobile, architect, machine tool, etc.).

  In step S505, an identifier (such as a new model name) is designated.

  In step S507, it is determined whether there is a corresponding ID (standard model identifier) with the specified identifier. If it is determined that there is a corresponding ID, the process proceeds to step S509. If there is no corresponding ID, the process proceeds to step S511.

  In step S509, image calculation is performed using parameters (a plurality of attributes) described in a table describing the association between model names and attributes.

  In step S511, image calculation is performed with an attribute defined as “none” (standard drawing attribute).

  In step S513, it is determined whether or not the object model to be image-calculated has been completed. When it is determined that all the object models have been completed, the process proceeds to step S515. When it is determined that the process has not been completed, the process returns to step S507.

  In step S515, the image calculation program performs image calculation considering attributes, and an image of a new model is displayed on the screen.

  In step S517, it is determined whether to re-edit the texture of the new model (object model). When it is determined that re-editing is to be performed, the process proceeds to step S519. When it is determined that re-editing is not performed, the process proceeds to step S523.

  In step S519, the new attribute of the texture is taken into consideration (in this case, the attribute can be input by the operator), and re-editing is performed. As a result, the operator can determine the optimum texture while referring to the actual image.

  In step S521, it is determined whether or not the new model (object model) for reediting the texture has been completed. When it is determined that the process for the new model has been completed, the process proceeds to step S523. When it is determined that the process for the new model has not ended, the process returns to step S519.

  In step S523, a table describing the association between model names and attributes is stored.

  Thus, by assigning the model name, various parameters necessary for the drawing calculation are associated. However, according to the present invention, it is not necessary to perform attribute setting work. Therefore, there is an effect that it is not necessary to input.

  In the above-described embodiment, the model name is used as an identifier (keyword). However, as long as the model can be identified, a layer, a group, or the like may be used as the identifier.

  In addition, this invention is not limited to the example of the embodiment mentioned above, It can implement in another aspect by adding an appropriate change.

It is explanatory drawing explaining a model, an attribute, and an image calculation program relationship. (A), (b), (c) is explanatory drawing explaining the table which described the association of a model name and an attribute. It is explanatory drawing explaining the production method of the table which described the association of a model name and an attribute. It is explanatory drawing explaining the structure which provides a model name. It is a flowchart explaining the operation | movement which provides an attribute to a model. It is explanatory drawing explaining the prior art.

Explanation of symbols

1 Image calculation system 3 CPU
5 Storage Device 7 External Storage Device 9 Image Calculation Program 11 Model Shape Data 13 Table (File)

Claims (4)

In an image calculation system for assigning an attribute to a new model stored in a memory and calculating an image for drawing the new model on a display unit in consideration of the attribute,
An identifier corresponding to each reference model, and a table storing attributes associated with the identifier;
An attribute giving means for giving the attribute to the new model;
The attribute assigning means searches for an attribute that matches the identifier of the new model and the identifier of the reference model described in the table describing the association of attributes before performing image calculation, An image calculation system characterized in that a drawing calculation is performed by assigning to the new model.   The image calculation system according to claim 1, wherein the data of the table is assigned to a new model by directly reading and generating the attribute from the three-dimensional data of the existing model to which the attribute has already been assigned.   3. The image calculation system according to claim 1, wherein the matching condition between the identifiers includes a wild card. In an image calculation method for assigning an attribute to a new model stored in a memory and calculating an image for drawing the new model on a display unit in consideration of the attribute,
Storing an identifier corresponding to each of the reference models and an attribute associated with the identifier in a table;
An attribute assigning step of assigning the attribute to the new model,
The attribute assigning step searches for an attribute that matches the identifier of the new model and the identifier of the reference model described in the table describing the association of attributes before performing image calculation, An image calculation method characterized by assigning the new model and performing drawing calculation.

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