JPH0997354A - Modeling system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To generate a more accurate three-dimensional model without increasing the operation load on operator. SOLUTION: The modeling system which generates a three-dimensional shape model M for a body on the basis of a two-dimensional image G1 including solid structure information on the body O is provided with a display control means which displays the monitor image GM2 composed of the latest projection image of the three-dimensional shape model M and the two-dimensional image G1, a manual correcting means which corrects the three-dimensional shape model according to instruction given by operator, and an automatic correcting means which corrects the three-dimensional shape model according to the result of an analysis of the two-dimensional image G1.

Description

Detailed Description of the Invention

[0001]

TECHNICAL FIELD The present invention relates to a modeling system for generating a shape model in three-dimensional computer graphics.

[0002] Three-dimensional computer graphics is a technique for stereoscopically displaying a real object or a fictitious object on a screen based on its three-dimensional shape model, and an object viewed from an arbitrary viewpoint can be displayed in real time. Therefore, it is applied to landscape simulations and presentations.

[0003]

2. Description of the Related Art A shape modeling method is known in which a three-dimensional shape model of an existing object is generated by using a photographed image of the object. As a prototype of the three-dimensional shape model of the target object (hereinafter referred to as “object model”), a three-dimensional shape model of basic shapes such as a cube, a cylinder, and a sphere (hereinafter,
By preparing a "basic model") and modifying the basic model to generate an object model, modeling efficiency can be improved.

A conventional modeling system is configured to correct a basic model according to an operator's instruction (Japanese Patent Laid-Open No. 3-138784). The conventional modeling procedure is as follows.

The modeling system displays a real image and a projected image of the basic model side by side on the screen. The operator compares the photographed image with the projected image and specifies the correspondence between the positions of the two. For example, the coordinates of the pixel in the photographed image corresponding to the vertex of the basic model are input. At that time, the operator can adjust the viewpoint position of the projected image so that the correspondence can be easily understood by changing the arrangement position of the basic model in the virtual space.

The modeling system calculates the correction value of the coordinates of the basic model by applying the correspondence information given by the operator to the relational expression of the perspective transformation, and corrects the basic model.

[0007]

Conventionally, since the basic model is modified only on the basis of the input information from the operator, the accuracy of modeling depends on the operator's judgment. When an accurate object model is required, the operator is required to make a rigorous judgment, which increases the work load and lengthens the work time. It is difficult to generate an accurate object model when the real image has a blur. Note that it is conceivable to implement modeling that does not depend on the judgment of the operator by using the method of computer vision. However, at present, it is not possible to expect sufficient accuracy in practical use.

The present invention has been made in view of the above problems, and an object thereof is to generate a more accurate three-dimensional shape model without increasing the work load on the operator.

[0009]

In modeling various objects, there may be cases where sufficient accuracy can be obtained by manual modeling by an operator, and cases where image analysis by a data processing means is useful. By providing the manual modeling function and the automatic modeling function, the practicality of the modeling system can be enhanced.

If the image analysis is performed by paying attention to the specific portion of the two-dimensional image based on the result of the manual modeling, the waste of image processing is reduced as compared with the case of analyzing the entire two-dimensional image. The feature information can be efficiently extracted from the two-dimensional image.

The system of the invention of claim 1 is a modeling system for generating a three-dimensional shape model of an object based on a two-dimensional image containing three-dimensional structure information of the object. Display control means for displaying a monitor image in which a projected image and the two-dimensional image are combined;
It has a manual correction means for correcting the three-dimensional shape model according to an instruction given by an operator, and an automatic correction means for correcting the three-dimensional shape model based on a result of image analysis on the two-dimensional image.

According to a second aspect of the present invention, the automatic correction means performs an image analysis on a partial region including a side of the three-dimensional shape model in the monitor image in the two-dimensional image, A correction target of the end point of the side is set, and the three-dimensional shape model is corrected so that the end point of the side approaches the correction target.

In the system of the third aspect of the present invention, the automatic correction means sets the correction amount of the three-dimensional shape model to 3
It is calculated based on the difference between the value of the parameter of the three-dimensional shape model before correction and the value of the parameter corresponding to the correction target.

In the system according to the present invention, the display control means visualizes the three-dimensional shape model in a wireframe format and displays a display color of a portion of the three-dimensional shape model which overlaps with the two-dimensional image. For each pixel is set to a color different from the two-dimensional image.

[0015]

1 is a block diagram of a modeling system 1 according to the present invention. The modeling system 1 includes a CPU 10 that performs system control and image data processing, a keyboard 21, a mouse 22, a display 30, a memory device 40 including a medium represented by a hard disk, and an image reader 50. Software for shape modeling is incorporated in the CPU 10. Instead of the mouse 22, another pointing device such as a trackball may be used. Instead of the image reader 50, a video camera may be used to input the image information of the object to the CPU 10. It is also possible to supply the image to the CPU 10 from a storage medium such as an optical disk.

FIG. 2 is a functional block diagram of the CPU 10. The CPU 10 includes an image input unit 11 that captures image data in pixel units output from the image reader 50, a shape data input unit 12 that reads a basic model (prototype of the object model) from the memory device 40, and the basic model is modified to generate the object model. It has a working unit 13 for generating and a shape data output unit 14 for controlling output of the generated object model. The output of the object model means storage in the memory device 40 or transfer to another system (for example, a texture generation system). The CPU 10 may be provided with a function of generating a texture to be attached to the object model.

The working unit 13 is composed of a display control unit 131, a manual correction unit 132, and an automatic correction unit 132. The display control unit 131 synthesizes the latest projected image of the object model at the correction stage with the model image read by the image input unit 11, and displays the obtained synthetic image as a modeling monitor image. The projected image of the object model is obtained by arranging the object model expressed in the local coordinate system (also called the body coordinate system) in the global coordinate space (also called the world coordinate space) together with the model image and setting it on a plane including the model image. It is an image when the object model is projected.

The manual correction unit 132 corrects the object model according to an instruction given by the operator. The automatic correction unit 133 corrects the object model by performing image analysis on the input image, setting a correction target, calculating a correction amount of modeling parameters, and correcting the object model.

FIG. 3 is a flowchart showing the outline of modeling. The operator inputs a two-dimensional image having three-dimensional structure information of an object to be modeled into the modeling system 1 as a model image (information source) for modeling via the image reader 50 (# 1). A real image (natural image) of an object is generally used as the model image. However, images such as freehand sketches and design drawings by two-dimensional CAD can also be used as model images.

Then, the operator selects one or a plurality of basic models similar to an object as a prototype of the object model from a plurality of types of basic models prepared in advance (# 2). A complex object model can be generated by combining a plurality of basic models. Basic shapes include cuboid, cylinder, prism, cone, pyramid,
There are a sphere and a regular n-face. The operator displays a list of names of these shapes or symbolic figures and then selects an appropriate shape.

The modeling system 1 includes a display 3
A monitor image is displayed on the screen of 0 (# 3). The projected image in the initially displayed monitor image corresponds to the unmodified object model (ie the basic model selected as the prototype). When the basic model is a rotating body model such as a cylinder, a cone, or a sphere, the local coordinate axes are displayed as dotted lines as auxiliary lines.

In the monitor image, when the object represented by the model image and the projected image of the object model completely overlap each other, that is, when the model image and the object model match,
There is no need to modify the object model (# 4). In that case, the modeling is completed when the modeling system 1 finishes outputting the object model (# 8).

If the model image and the object model do not match, the operator performs an appropriate correction operation (#
5). Manual correction is preferred when the model image and the object model are very difficult and different. The operator gives an instruction to the modeling system 1 to modify the object model in the global coordinate space such as movement, rotation, enlargement / reduction. For example, the change of the parameter defining the object model is designated, and the mouse 22 is moved to instruct the increase or decrease of the parameter value. As parameters, the position of the local coordinate system with respect to the global coordinate system that defines the posture and position,
Orientation displacement, perspective distance for perspective transformation, partial expansion / contraction rate, etc. It is also possible to instruct the deformation of the object model by dragging a specific portion of the object model with the mouse 22. At that time, the specific portion where the dragging is effective is highlighted by a difference in brightness or blinking.

The modeling system 1 corrects the parameters defining the object model according to the instruction (# 6). For each modification, the monitor image is updated to an image showing the relationship between the model image and the latest object model after modification. In the manual correction mode, the operator can display the wire frame model (guide polygon) of the sphere on the monitor image in order to facilitate understanding of the arrangement state of the object model.

When the operator gives an instruction for automatic correction, the modeling system 1 digitizes the deviation between the model image and the projected image of the object model by analyzing the model image, and calculates the correction amount that minimizes the deviation to calculate the object. Modify the model (#
7).

The functions of the modeling system 1 will be described below with reference to specific examples. FIG. 4 is a diagram showing the object O and the model image G1. Here, the substantially rectangular parallelepiped building O shown in FIG. 4A is an object to be modeled. An object model (three-dimensional shape model) of the building O is generated using the model image G1 shown in FIG. The model image G1 is a photograph of the building O taken from a position VP1 on the right side of the outer surface S1 of the building O. In the model image G1, a part of the outer surface S1 is missing. Therefore, the outer surface S in the object model
In order to determine the horizontal length of 1, the model image (for example, the image G3 in FIG. 5) having information on the entire area of the outer surface S1 is required.

FIG. 5 is a diagram showing a display example of the display 30, and shows the contents of the screen 31 at the stage when step # 2 of FIG. 3 is completed. The screen 31 has an area for displaying icons and messages (not shown).

The image reader 50 is provided in the lower half of the screen 31.
The four model images G1 to G4 read by are arranged. Images G2 to 4 are also photographs of the building O. On the left side of the upper half of the screen 31, a basic model (a rectangular wireframe model) selected from various basic shapes is displayed as the object model M ₀ of the building O at the present time. When the operator designates the manual correction mode, an area (window) Aw for displaying the monitor image is set in the screen 31.

FIG. 6 shows a monitor image GM in manual correction.
Shows the change in 1,2, 7 is a schematic diagram of a positional relationship between the object model M ₀ and model image G1, FIG. 8 is a diagram showing an example representation of the object model M _0.

At the start of the manual correction, a monitor image GM1 showing the relationship between the model image G1 and the object model M ₀ is displayed in the area Aw [FIG. 6 (A)]. At this time, the display color of the object model M ₀ is set on a pixel-by-pixel basis so that it can be easily distinguished from the model image G1. For example, the basic display color is red, and the display color of the portion overlapping the red pixel in the model image G1 is a color other than red (for example, a complementary color of red). The color-coded display in which the so-called hidden line portion in the wire frame is colored differently from other portions is useful for understanding the three-dimensional structure represented by the object model M ₀ .

The image of the object model M ₀ in FIG. 6 is a screen 31 of the object model M ₀ arranged in the global coordinate space.
Is a projected image (see FIG. 7). The operator determines the object model M in the global coordinate space based on the visual judgment.
The arrangement state (position, inclination) of ₀ is adjusted, and the object model M ₀ is deformed (the relative ratio of width, height, and depth is changed). By an appropriate correction operation, an object model M ₁ that substantially matches the object in the model image G1 is obtained. Monitor image GM2 showing the relationship between object models M ₁ and model image G1 obtained is displayed on the screen 31 [6
(B)].

As shown in FIG. 8, the object model M ₀ has numbers 0 to 0.
It is represented by 5 polygons. In FIG. 8, for convenience, the polygon numbers are shown in parentheses. Each polygon is a quadrangle, and four vertices correspond to each. The vertices are represented by coordinates (x, y, z) in a local coordinate system which is an orthogonal coordinate system for defining the object model M ₀ .

FIG. 9 is a diagram showing a procedure of automatic correction. Figure
9, the part corresponding to the building O in the model image G1
The minutes are hatched. The automatic correction unit 133
Object model M obtained by dynamic correction₁One side of E₂₆Pay attention to
(FIG. 9 (A)). Side E₂₆End points are at vertices P2 and P6
is there. Image analysis for the model image G1 is performed on the monitor image.
Edge E on GM2 (ie screen 31)₂₆Partial image G containing
It is performed for 10. As shown in FIG.
Image G10 shows side E₂₆Rectangular area A with the center line₂₆Inside
It is an image. Rectangular area A₂₆Edge E at ₂₆One orthogonal to
The external dimensions in the horizontal direction have been selected to be 10 in terms of the number of pixels.
(However, it is not necessary to limit to 10). Partial image G
By analyzing the distribution of 10 pixel values, the model image G1 (strictly speaking,
It matches the boundary between building O and background B in partial image G10).
A matching straight line L1 is obtained [FIG. 9 (C)].

Similar to the processing for the side E ₂₆ , the vertex P6,
Focusing on the side E ₆₇ corresponding to P7, the model image G1 is partially analyzed to obtain a straight line L2 that matches the ridgeline of the building O (boundary with the background B) [FIG. 9 (D)]. Then, an intersection Q6 between the straight line L1 and the straight line L2 is obtained.

It is necessary to correct the object model M ₁ so that the vertex P6 overlaps the intersection Q6 on the screen 31. That is,
The intersection Q6 is the correction target of the vertex P6. Other vertex P4
If any of P5 and P7 deviates from the building O of the model image G1, it is necessary to eliminate the deviation. The automatic correction unit 133 corrects the parameters defining the object model M ₁ so that the deviations of the vertices P4 to P7 are minimized as a whole.

The contents of the calculation executed by the automatic correction unit 133 will be described in more detail below. [Image Analysis] In order to extract the edge (boundary) of the building O from the partial image G10, changes in the image values in the horizontal direction (X direction) and the vertical direction (Y direction) in the partial image G10 are examined, and the X direction and the Y direction. Edge evaluation values Ex and Ey of The edge evaluation value Eθ in the direction along the side E ₂₆ is calculated by the equation (1).

Eθ = | −Ex · sin θ + Ey · cos θ | (1) θ: Inclination angle of side with respect to X direction The straight line L1 is obtained based on the edge evaluation value Eθ. When the point at the coordinates (X, Y) in the partial image G10 is the edge of Eθ _XY , the straight line L1 is specified by the equation (2) by applying the least square method.

−X · sin φ + Y · cos φ = h (2) h: −Xave · sin φ + Yave · cos φ φ: (1/2) · tan ⁻¹ (2A / B) [B · cos 2 φ + 2 A · sin 2 φ> 0] A: Σ (X · Eθ _XY −Xave) (Y · Eθ _XY −Yave) B: Σ (X · Eθ _XY −Xave) ² −Σ (Y · Eθ _XY −Y
ave) ² Xave: Σ (X · Eθ _XY ) / ΣEθ _XY Yave: Σ (Y · Eθ _XY ) / ΣEθ _XY [Calculation of correction amount] The correction amount of the parameter of the object model M ₁ is the vertex P4 on the screen 31. Is the difference between the patterning value when ˜7 matches the correction target and the current patterning value.

The parameter is Π _i (i = 1 to n), and the vertex P _j (j = 1 to 1) on the screen 31 specified by it
m) and an X coordinate between the target point for modification Q _j and F _j (Π
₁ , Π ₂ , ... Π _n ), Gj is an expression representing the difference in Y coordinates.
(Π ₁ , Π ₂ , ... Π _n ).

Fj for the current parameter value Π _i
(Π ₁ , Π ₂ , ... Π _n ) and Gj (Π ₁ , Π ₂ , ... Π _n )
Taylor expansion of and and take out the first-order term. If the amount of modification of each parameter is ΔΠ _i , then Fj (Π ₁ , Π ₂ , ...
Π _n ), Gj (Π ₁ , Π ₂ , ... Π _n ) are represented by the following equations.

Fj (Π ₁ , Π ₂ , ... Π _n ) = (dF / dΠ ₁ ) ΔΠ ₁ + (dF / dΠ ₂ ) ΔΠ ₂ ... + (dF / dΠ _n ) ΔΠ _n ... (3) Gj (Π ₁ , Π ₂ , ... Π _n ) = (dG / dΠ ₁ ) ΔΠ ₁ + (dG / dΠ ₂ ) ΔΠ ₂ ... + (dG / dΠ _n ) ΔΠ _n (4) Equation (3) and The correction amount can be obtained by solving the simultaneous equations using ΔΠ _i in the equation (4) as an unknown number. The result of adding the modification amount ΔΠ _i to the current parameter value Π _i is the parameter value of the corrected object model M ₂ .

The modeling work using the model image G1 in which some information on the outer surface S1 of the building O is missing has been described above, but it is necessary to use another model image depending on the purpose of the model. In that case, after manually determining the aspect ratio of the polygon corresponding to the outer surface S1 in the object model using another model image, manual and automatic model correction may be performed using the model image G1. The object model may be completed in the reverse order. If the actual object is a rectangular parallelepiped as shown in the example,
If an image having information corresponding to two adjacent polygons (for example, a panoramic photograph of the building O showing the entire front surface and the entire side surface) is used, the object model can be completed with one image. Is. The accuracy of the object model can be further improved by using photographs at various shooting angles.

[0043]

According to the first to fourth aspects of the present invention,
It is possible to generate a more accurate three-dimensional shape model without increasing the work load on the operator.

According to the second and third aspects of the present invention, the burden of image processing can be reduced and the efficiency of modeling can be improved. According to the invention of claim 4, the operator can easily recognize the three-dimensional shape model.

[Brief description of drawings]

FIG. 1 is a configuration diagram of a modeling system according to the present invention.

FIG. 2 is a functional block diagram of a CPU.

FIG. 3 is a flowchart showing an outline of modeling.

FIG. 4 is a diagram showing an object and a model image.

FIG. 5 is a diagram showing a display example of a display.

FIG. 6 is a diagram showing changes in a monitor image in manual correction.

FIG. 7 is a schematic diagram of a positional relationship between an object model and a model image.

FIG. 8 is a diagram showing a representation example of an object model.

FIG. 9 is a diagram showing a procedure of automatic correction.

[Explanation of symbols]

1 Modeling System 131 Display Control Unit (Display Control Unit) 132 Manual Correction Unit (Manual Correction Unit) 133 Automatic Correction Unit (Automatic Correction Unit) E ₂₆ Side G1 Model Image (2D Image) G10 Partial Image (Partial Area) ) GM1, GM2 monitor image M ₁ object model (3D shape model) O building (object) P6, P7 vertex (end point) Q6 intersection (correction target)

Claims (4)

[Claims] 1. A modeling system for generating a three-dimensional shape model of an object based on a two-dimensional image including three-dimensional structure information of the object, the projection image of the latest three-dimensional shape model and the two-dimensional image. Display control means for displaying a monitor image in which the three-dimensional shape model is combined, manual correction means for correcting the three-dimensional shape model according to an instruction given by an operator, and the three-dimensional shape model based on a result of image analysis on the two-dimensional image. A modeling system characterized by having an automatic correction means for correcting. 2. The automatic correction means performs image analysis on a part of the two-dimensional image including the side of the three-dimensional shape model in the monitor image, and sets a correction target of the end point of the side. The modeling system according to claim 1, wherein the three-dimensional geometric model is set so that the end point of the side is closer to the correction target. 3. The automatic correction means calculates a correction amount of the three-dimensional shape model based on a difference between a value of a parameter of the three-dimensional shape model before correction and a value of the parameter corresponding to the correction target. The modeling system according to claim 2. 4. The display control means visualizes the three-dimensional shape model in a wireframe format, and displays the display color of a portion of the three-dimensional shape model overlapping with the two-dimensional image for each pixel. The color different from that of the image is set.
The modeling system according to claim 3.