KR101552827B1 - Method Of Dividing Three-dimensional Object Model - Google Patents
Method Of Dividing Three-dimensional Object Model Download PDFInfo
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- KR101552827B1 KR101552827B1 KR1020150060173A KR20150060173A KR101552827B1 KR 101552827 B1 KR101552827 B1 KR 101552827B1 KR 1020150060173 A KR1020150060173 A KR 1020150060173A KR 20150060173 A KR20150060173 A KR 20150060173A KR 101552827 B1 KR101552827 B1 KR 101552827B1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/30—Polynomial surface description
Abstract
Description
The present invention relates to a method of dividing a 3D object model, and more particularly, to a 3D object model dividing method that divides a 3D object model of high resolution and high precision into three-dimensional objects And a method of dividing the model.
Most car and portable navigation devices rely on a two-dimensional navigation map to visualize key features, such as buildings, in 2D, but a three-dimensional vehicle navigation system is emerging. Most of these 3D navigation systems use photorealistic rendering techniques to visualize 3D building data.
This visualization technique based on realistic rendering requires accurate geometric models and detailed realistic building textures, and it is necessary to match the rendered 3D buildings, roads or other objects with actual buildings, roads or other objects as closely as possible have.
A three-dimensional mesh (Mesh) refers to a bundle of data, such as a point, a plane, used to represent an object in three dimensions on a graphical basis. These three-dimensional meshes are widely applied to various applications representing three-dimensional objects. The three-dimensional mesh consists of triangles made up of vertices and three vertices, and these triangles are gathered to complete one complete mesh. In real life, in order to express a building in three dimensions, the information of a triangle is connected to one another in a complicated shape.
As prior art data, Korean Patent Laid-Open No. 10-2014-0040416 discloses a three-dimensional object generation apparatus and a technique thereof.
A conventional three-dimensional object generation apparatus and method thereof includes a three-dimensional object generation unit for generating a three-dimensional object by dividing a component of a two-dimensional web page into a plurality of polygons and a plurality of polygons, Dimensional object manipulation processing unit for generating a transformed 3D object by applying a 3D transform matrix to a predefined CSS transform by changing a vertex coordinate value of the corresponding individual grid element according to an object manipulation signal and generating a 3D transform matrix, .
The apparatus and method for generating a three-dimensional object divide a constituent element of a web page, which is a two-dimensional image, into a plurality of rectangular lattices, and sequentially diagonal vertices of each rectangular lattice element are divided into triangular polygons to generate a plurality of polygons .
As described above, a technique for generating a polygon-based three-dimensional object through the gridding of a web-based element requires a basic three-dimensional transformation technique and a two-dimensional transformation technique (2D transformation) A large amount of memory is required to load a plurality of two-dimensional images into a lattice, and a polygon is generated for each lattice element. As the number of images increases, the time and effort required to create a three- have.
On the other hand, when dividing an already generated three-dimensional model using a three-dimensional editing tool for creating and editing a three-dimensional model such as 3D Max or SketchUp, The three-dimensional model should be divided by hand.
In order to visualize a three-dimensional model in a PC or a mobile terminal using computer graphics technology, a real image is used, and real image coordinates are associated with vertex and triangle polygons constituting a three-dimensional model. Accordingly, when a three-dimensional map is used with a three-dimensional editing tool, a large number of three-dimensional models must be divided, so that a considerable amount of time and manual processes are required. In the case of a web service or a server / client system, the overflow of the graphics memory occurs when a large number of high-resolution real images are loaded, Resulting in weighting of the load.
As described above, a technique of dividing a three-dimensional model by using a three-dimensional editing tool is a technique in which a system (performance RAM (RAM) or video RAM) Dimensional model, it is inefficient and loads a large amount of three-dimensional model data, which increases the network load.
The present invention automatically divides an image into a predetermined size by using texture coordinates included in a 3D object vertex coordinate, extracts three-dimensional vertex coordinates and polygon information using texture coordinates, A method for segmenting a 3D object model that reconstructs an object model is provided.
Among the embodiments, a method of dividing a three-dimensional object model is a method of dividing the three-dimensional object model by a three-dimensional object generation apparatus that visualizes a three-dimensional object model using a real image The three-dimensional object model includes a three-dimensional object model including three-dimensional vertex coordinates forming the shape and texture coordinates of the real image, and a polygon index representing a polygon list based on the three- Comprising; b) generating a plurality of divided image regions by image segmenting the 3D object model into a predetermined image segment size using the texture coordinates, detecting two-dimensional polygons intersecting the divided image regions, Loading stage; c) if a two-dimensional polygon loaded in the two-dimensional divided list is included in the divided image area, the three-dimensional vertex coordinates are matched by using the texture coordinates of the two-dimensional polygon to calculate shape vertex coordinates, Dimensional polygons into a three-dimensional shape list; dimensional polygon; and d) if a two-dimensional polygon loaded on the two-dimensional divided list is not included in the divided image area, detecting an intersection between the two-dimensional polygon and the divided image area, calculating texture coordinates using the intersection, Calculating three-dimensional vertex coordinates by using coordinates and calculating three-dimensional vertex coordinates, and loading the three-dimensional polygons composed of the calculated vertex coordinates into a three-dimensional shape list; And e) dividing the three-dimensional polygons in the three-dimensional shape list into at least one polygon, and reconstructing the three-dimensional object model using the information of the polygons that have been segmented.
The step of detecting a two-dimensional polygon intersecting each of the divided image areas in the step b) and loading the detected two-dimensional polygon into the two-dimensional divided list may comprise the step of matching the polygon composed of the texture coordinates and the polygon composed of the three- Dimensional vertex coordinates to be divided with respect to the corresponding polygon.
The step of detecting a two-dimensional polygon intersecting the divided image areas in the step b) and loading the detected two-dimensional polygon into the two-dimensional divided list may include loading the polygon into the polygon list when the polygon composed of the texture coordinates intersects with the divided image area step; And comparing each polygon area of the polygon list with the divided image area and detecting the polygon when the polygon area and the divided image area cross each other, and loading the detected polygon on the two-dimensional divided list.
The step (c) is characterized in that the shape vertex coordinates are calculated as a shape (x, y, z, u, v) in which the three-dimensional vertex coordinates (x, y, z) and the texture coordinates .
If the two-dimensional polygon stored in the two-dimensional divided list is not included in the divided image area in step d), a convex polygon is derived using a general polygon clipper (GPC) Each vertex is characterized by being located at a side or apex of a two-dimensional polygon.
Dimensional polygon, the vertex coordinates of the two-dimensional polygon are input into the three-dimensional shape list as the shape vertex coordinates when at least one point among the vertices of the block polygon is located at a vertex of the two-dimensional polygon.
Dimensional polygon, a distance between vertex coordinates of two different three-dimensional polygons, and a distance between vertex coordinates of two different three-dimensional polygons, when a point of at least one of the points of the block polygon is located at a side of the polygon. Calculating a shape intersection point; Forming a three-dimensional polygon using the vertices of the three-dimensional shape intersection point and the two-dimensional polygon; And a step of triangulating and dividing the three-dimensional polygon into planes, re-adjusting the texture coordinates with respect to apexes of the polygons that have been divided, and loading the three-dimensional polygons into the three-dimensional shape list in the form of shape vertex coordinates.
The method of dividing a three-dimensional object model according to the present invention can automatically perform a dividing process for a three-dimensional object model without manual operation and saves time and effort compared to a dividing process of a three-dimensional object model by a conventional manual operation And it is possible to perform an accurate and safe division of a three-dimensional object model by minimizing data loss that may occur in manual operation.
In addition, the present invention minimizes the waiting time for loading data of a high-capacity three-dimensional object model through the automatic division process of the three-dimensional object model through the network distribution processing, and transmits the high-precision and high- A mobile terminal and the like, and it is possible to exclude an image space that is not used in a three-dimensional object model due to image segmentation, thereby saving memory space of the system.
1 is a flowchart illustrating a method of dividing a three-dimensional object model according to an embodiment of the present invention
2 is a view for explaining the process of configuring the polygon index of FIG. 1;
FIG. 3 is a view showing a polygon list consisting of texture coordinates of the three-dimensional object model of FIG. 1
FIG. 4 is a view showing a polygon list composed of three-dimensional vertex coordinates of the three-dimensional object model of FIG. 1
5 is a view for explaining an image dividing process of the three-dimensional object model of FIG. 1;
FIG. 6 is an enlarged view of any one of the divided image areas in FIG. 5; FIG.
FIG. 7 is a view for explaining various forms in which the divided image region and the polygonal region intersect in FIG. 6; FIG.
8 is a view for explaining a screen of a texture image which is a two-dimensional image of the divided image area of FIG. 6
9 is a view for explaining a screen of a three-dimensional object model corresponding to the texture image of FIG. 8
FIG. 10 is a view for explaining a process of triangulating the shape vertex coordinates formed of the block polygons derived from the texture image of FIG. 8
11 is a diagram showing a result of reconstructing a three-dimensional object model by dividing a real image by texture coordinates.
The description of the present invention is merely an example for structural or functional explanation, and the scope of the present invention should not be construed as being limited by the embodiments described in the text. That is, the embodiments are to be construed as being variously embodied and having various forms, so that the scope of the present invention should be understood to include equivalents capable of realizing technical ideas. Also, the purpose or effect of the present invention should not be construed as limiting the scope of the present invention, since it does not mean that a specific embodiment should include all or only such effect.
Meanwhile, the meaning of the terms described in the present invention should be understood as follows.
The terms "first "," second ", and the like are intended to distinguish one element from another, and the scope of the right should not be limited by these terms. For example, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.
It is to be understood that when an element is referred to as being "connected" to another element, it may be directly connected to the other element, but there may be other elements in between. On the other hand, when an element is referred to as being "directly connected" to another element, it should be understood that there are no other elements in between. On the other hand, other expressions that describe the relationship between components, such as "between" and "between" or "neighboring to" and "directly adjacent to" should be interpreted as well.
It should be understood that the singular " include "or" have "are to be construed as including a stated feature, number, step, operation, component, It is to be understood that the combination is intended to specify that it does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.
In each step, the identification code (e.g., a, b, c, etc.) is used for convenience of explanation, the identification code does not describe the order of each step, Unless otherwise stated, it may occur differently from the stated order. That is, each step may occur in the same order as described, may be performed substantially concurrently, or may be performed in reverse order.
All terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. Commonly used predefined terms should be interpreted to be consistent with the meanings in the context of the related art and can not be interpreted as having ideal or overly formal meaning unless explicitly defined in the present invention.
FIG. 1 is a flowchart illustrating a method of dividing a three-dimensional object model according to an embodiment of the present invention. FIG. 2 is a view for explaining a process of constructing a polygon index of FIG. FIG. 3 is a view showing a polygon list composed of texture coordinates of the 3D object model of FIG. 1, FIG. 4 is a view showing a polygon list of 3D vertex coordinates of the 3D object model of FIG. 1, FIG. 6 is a diagram illustrating an enlarged view of one of the divided image regions of FIG. 5; FIG.
1 to 6, a method of dividing a three-dimensional object model is performed by dividing a three-dimensional object model by a three-dimensional object generation apparatus that visualizes a three-dimensional object model using a real image, The segmentation process of the object model is provided in the form of an application that implements the segmentation functions, and the segmentation functions of the three-dimensional object model can be updated as necessary.
First, the 3D object model is composed of three-dimensional vertex coordinates (x, y, z) forming the shape and texture coordinates (u, v) of the real image, and the polygon list is represented by the array of the three- (S1) At this time, the polygon is a triangle, but it may be a square or a polygon in some cases. In addition, the arrangement of the three-dimensional vertex coordinates may be the index information including the order necessary for the polygon representation of the corresponding vertex.
As shown in FIG. 2, the three-dimensional vertex coordinates constitute a model shape for a three-dimensional object, and a real image (or a texture image) is enclosed by a texture coordinate (b) The shape (c) of the object model is completed.
Each vertex information of the 3D object model includes at least one of color information of a vertex, normal information of a vertex, texture information of a vertex, auxiliary texture information of a vertex, and tangent information of a vertex.
Accordingly, the method of dividing the 3D object model can divide the 3D object model using the texture coordinates included in the vertex information. As shown in FIGS. 3 and 4, the polygon having texture coordinates and the 3D vertex coordinate Dimensional vertex matching is used, texture coordinates in the divided image area are known, so that the corresponding three-dimensional vertex coordinates can be obtained.
That is, in the method of dividing the three-dimensional object model, when the image division size of the real image is set by the user, the three-dimensional object model is divided into the image division size set using the real image, (S2) At this time, the divided image area is divided into a rectangular shape, and the number and size of the divided image areas may be changed according to the size of the image segment selected by the user.
As shown in FIG. 6, the three-dimensional object model segmentation method detects two-dimensional polygons intersecting each divided image region, and loads the detected two-dimensional polygons into a polygon list. (S3) Since it is a triangle composed of coordinates, it becomes a two-dimensional image.
3, the texture coordinates (u, v) have a real number value between (0, 0) and (1, 1), and the texture coordinates of the polygons inside the real image are not greater than 1 Do not.
The 3D object model segmentation method is a method of comparing a triangle area in a polygon list with a divided image area, and when the two areas are intersected, the texture coordinates of the corresponding triangle are loaded in a 2D segment list. In the 2D segment list, Polygons are loaded (S4)
A method of segmenting a three-dimensional object model is to detect a two-dimensional polygon in which a triangular region is included in a divided image region among the loaded two-dimensional polygons, match the texture coordinates of the corresponding two-dimensional polygon with corresponding three- (S5, S6). At this time, the two-dimensional polygon is a shape in which all triangles, which are polygonal regions, are included in the inside of the rectangle which is the divided image region.
Accordingly, in the method of dividing a 3D object model, a polygon list composed of two-dimensional polygons included in a divided image area is divided into a three-dimensional vertex coordinate (x, y, z) and a shape vertex coordinate (x, y, z, u, v) (S7)
On the other hand, when the triangular region is not included in the divided image region among the two-dimensional polygons loaded in the two-dimensional divided list, and one or more of the sides or polygons of the polygon intersect, The texture coordinates of the intersection or the intersection can be obtained by the linear equation using that the straight lines of the divided image area intersect. (S8 and S9)
In the method of dividing the 3D object model, since the texture coordinates are obtained using the intersection point and the 3D vertex coordinates corresponding to the texture coordinates can be derived, the shape vertex coordinates for the area of the 2D polygon intersecting the divided image area are calculated . The polygons composed of the shape vertex coordinates thus calculated are triangulated and segmented, and the segmented polygon information is loaded on the three-dimensional shape list.
The 3D shape list includes a 3D polygon list including three-dimensional vertex coordinates and texture coordinates divided by a divided image area, and reconstructs a three-dimensional object model divided into rectangles using the 3D polygon list (S10 )
The 3D object generation apparatus divides the polygon information constituting the 3D object model based on the texture coordinates for each divided image region.
FIG. 7 is a view for explaining various forms in which a divided image region and a polygon region intersect in FIG. 6, FIG. 8 is a view for explaining a screen of a texture image, which is a two- 8 is a view for explaining a screen of a 3D object model corresponding to the texture image of FIG. 8, and FIG. 10 is a view for explaining a process of triangulating shape vertex coordinates formed of block polygons derived from the texture image of FIG. 11 is a diagram showing a result of reconstructing a three-dimensional object model by dividing a real image by texture coordinates.
7 to 11, a method of dividing a three-dimensional object model is not included in a divided image area among two-dimensional polygons loaded in a two-dimensional divided list, and when a divided image area and a polygon area intersect each other Perform a polygon operation (GPC) to find the correct intersection or intersection area.
As shown in FIG. 7, a convex polygon composed of a maximum of six vertex coordinates is derived by the polygon operation, and each vertex coordinate of the convex polygon is located at a side or a vertex of the two-dimensional polygon. At this time, the intersection form of the divided image region of the triangle polygon and the rectangle can be crossed in various forms.
When the vertex of one of the vertexes of the convex polygon is located at the vertex of the polygon, the method of dividing the 3D object model maps the vertex coordinate and the texture coordinate of the vertex into the three-dimensional shape list as they are .
However, when one vertex of each vertex of the convex polygon is located on each side of the polygon, the ratio between the distance between the vertex coordinates of two different texture vertex coordinates and the distance between the vertex coordinates of two different three-dimensional polygons is Dimensional shape crossing point.
That is, the method of dividing the 3D object model is to know the texture coordinates P1 (x1, y1), P2 (x2, y2), P3 (x3, y3) in the texture image shown in Fig. 8, V3 (3, 4, y4, z4) and V2 (x5, y5, z5) are known in the 3D object model.
The vector from P1 to P2 (
Therefore, the vector from V3 to V1 (
In the method of segmenting a three-dimensional object model, a vertex list for a three-dimensional shape intersection point is loaded on a three-dimensional shaped polygon list, and the vertex list of the three-dimensional shaped polygon list is divided into triangular polygons as shown in FIG. The texture coordinates of the vertices of the triangulated polygons thus segmented are readjusted and loaded into the three-dimensional shape list in the shape vertex coordinates.
As shown in FIG. 11, in order to divide polygon information modeled by a three-dimensional object model, an image is divided based on texture coordinates included in each three-dimensional vertex, Division of the polygon information according to the area can automatically divide the high-resolution and high-precision three-dimensional object model without manual operation, and can perform network distribution processing to provide high-capacity and high-resolution image and vertex information to general users on the Internet have.
In this way, by dividing the 3D object model automatically using the texture coordinates of the real image, the image information and color information of each divided 3D polygon can be represented differently, and the 3D image model can be used in the 3D object model Dimensional object model can be selectively used according to the movement of the user's visual field during the rendering of the 3D screen, thereby enabling efficient application to high-precision data loading.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the present invention as defined by the following claims It can be understood that
Claims (7)
wherein the 3D object model comprises a polygon index representing a polygon list based on an array of three-dimensional vertex coordinates of a three-dimensional object model including three-dimensional vertex coordinates forming the shape and texture coordinates of the real image, step;
b) generating a plurality of divided image regions by image segmenting the 3D object model into a predetermined image segment size using the texture coordinates, detecting two-dimensional polygons intersecting the divided image regions, Loading stage;
c) if a two-dimensional polygon loaded in the two-dimensional divided list is included in the divided image area, the three-dimensional vertex coordinates are matched by using the texture coordinates of the two-dimensional polygon to calculate shape vertex coordinates, Dimensional polygons into a three-dimensional shape list;
dimensional polygon; and d) if a two-dimensional polygon loaded on the two-dimensional divided list is not included in the divided image area, detecting an intersection between the two-dimensional polygon and the divided image area, calculating texture coordinates using the intersection, Calculating three-dimensional vertex coordinates by using coordinates and calculating three-dimensional vertex coordinates, and loading the three-dimensional polygons composed of the calculated vertex coordinates into a three-dimensional shape list; And
and e) reconstructing the three-dimensional object model using the information of the polygons that have been subjected to surface division, and dividing the three-dimensional polygons in the three-dimensional shape list into at least one polygon, Lt; / RTI >
The step of detecting a two-dimensional polygon intersecting the divided image regions in the step b) and loading the detected two-
Dimensional vertex coordinates of the polygon corresponding to the polygon are obtained by matching the polygon composed of the texture coordinates and the polygon composed of the three-dimensional vertex coordinates in a one-to-one correspondence.
The step of detecting a two-dimensional polygon intersecting the divided image regions in the step b) and loading the detected two-
If the polygon composed of the texture coordinates intersects with the divided image area, loading the polygon on the polygon list; And
Comparing the polygon area of the polygon list with the divided image area, and if the polygon area and the divided image area cross each other, detecting the polygon and loading the detected polygon into the two-dimensional divided list A method of partitioning a model.
The step (c) is characterized in that the shape vertex coordinates are calculated as a shape (x, y, z, u, v) in which the three-dimensional vertex coordinates (x, y, z) and the texture coordinates A method for segmenting a three-dimensional object model.
If the two-dimensional polygon stored in the two-dimensional divided list is not included in the divided image area in step d), a convex polygon is derived using a general polygon clipper (GPC) Wherein each vertex is located at a side or apex of a two-dimensional polygon.
Dimensional polygon, the vertex coordinates of the two-dimensional polygon are input into the three-dimensional shape list as the shape vertex coordinates when at least one point among the vertices of the block polygon is located at a vertex of the two-dimensional polygon. Lt; / RTI >
When at least one point of each point of the block polygon is located at a side of the polygon,
Calculating a three-dimensional shape intersection point using a ratio between distances between two different texture vertex coordinates and distances between vertex coordinates of two different three-dimensional polygons;
Forming a three-dimensional polygon using the vertices of the three-dimensional shape intersection point and the two-dimensional polygon; And
Dimensionally arranging the three-dimensional polygons into a three-dimensional shape list; and triangulating the three-dimensional polygons to divide the surface, re-adjusting the texture coordinates with respect to the apexes of the polygons that have been segmented, A method of partitioning a model.
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| KR101769013B1 (en) | 2017-04-17 | 2017-08-18 | (주)이지스 | Visualization method for 3-dimension model using 3-dimension object model merging based on space tile |
| KR102057448B1 (en) | 2018-12-28 | 2019-12-20 | (주)웨이버스 | a Three dimensional solid grid based geographic information system data conversion system |
| KR20210023283A (en) * | 2019-08-22 | 2021-03-04 | 서울시립대학교 산학협력단 | Apparatus and method for integrating |
| KR102271064B1 (en) * | 2020-04-17 | 2021-06-30 | 뉴레이어 주식회사 | Floor separation method for 3D building model, system and computer readable medium recording the method |
| WO2023136661A1 (en) * | 2022-01-13 | 2023-07-20 | Samsung Electronics Co., Ltd. | Methods and systems for interacting with 3d ar objects from a scene |
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| KR101769013B1 (en) | 2017-04-17 | 2017-08-18 | (주)이지스 | Visualization method for 3-dimension model using 3-dimension object model merging based on space tile |
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| WO2023136661A1 (en) * | 2022-01-13 | 2023-07-20 | Samsung Electronics Co., Ltd. | Methods and systems for interacting with 3d ar objects from a scene |
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