CN108597025B - Artificial intelligence-based virtual reality-oriented rapid model construction method and device - Google Patents
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Abstract
The invention provides a method and a device for constructing a virtual reality-oriented rapid model based on artificial intelligence, which comprises the following steps: acquiring three-dimensional structure data information of a basic model assembly; constructing a field basic component model library according to the three-dimensional structure data information of the basic model component; constructing a field virtual reality base model according to the field base component model library; the method comprises the steps of constructing a field virtual reality model according to a field virtual reality basic model, constructing a reusable structural model assembly, and then quickly constructing required models for different types of application fields by a quick model deformation method, thereby saving design time.
Description
Technical Field
The invention relates to the technical field of virtual reality, in particular to a method and a device for constructing a virtual reality-oriented rapid model based on artificial intelligence.
Background
Virtual Reality (Virtual Reality) is a new technology in the computer field that has been developed as a variety of scientific technologies such as integrated computer graphics technology, multimedia technology, sensor technology, human-computer interaction technology, network technology, stereoscopic display technology, and simulation technology. The virtual reality technology is a high-level man-machine interaction technology which comprehensively applies various technologies to manufacture a vivid artificial simulation environment and can effectively simulate various perception system behaviors of people in a natural environment. With the rapid development of the virtual reality technology, the combination of the virtual reality technology and the industrial application brings infinite sense extension for people, creates a brand new immersive experience, and the currently related research and application fields comprise military affairs, medicine, psychology, education, scientific research, commerce, movie and television, entertainment, manufacturing industry, engineering training and the like. Virtual reality technology has been recognized as one of the important developmental disciplines in the 21 st century and important technologies affecting people's lives.
The virtual reality technology has three prominent features, namely Immersion (Immersion), interactivity (Interaction) and Imagination (Imagination), and the practical application fields surrounding the three features are various. However, in the practical application process of the virtual reality technology, the virtual reality technology is a completely new technology, the application fields are various, the virtual means finally shown for the user have various forms, but the number of models for constructing the virtual reality is very small, and the construction time cost and the value cost of each model are very high.
Two main problems are brought by the complexity of model design, the first is that the model has low repeatable utilization rate, each model designed aiming at a specific field is a unique model individual, and each type and each model can not be reused; secondly, the model design period is long, each model is subjected to complex construction processes and steps from three-dimensional scanning, model supplement and texture construction to final model presentation, and the model design process cannot adapt to the current rapid life rhythm.
Disclosure of Invention
In view of this, the present invention aims to provide a method and an apparatus for constructing a virtual reality-oriented fast model based on artificial intelligence, which construct a reusable structural model component, and then use a fast model transformation method to quickly construct a required model for different types of application fields, thereby saving design time.
In a first aspect, an embodiment of the present invention provides a method for constructing a virtual reality-oriented fast model based on artificial intelligence, where the method includes:
acquiring three-dimensional structure data information of a basic model assembly;
constructing a field basic component model library according to the three-dimensional structure data information of the basic model component;
constructing a field virtual reality basic model according to the field basic component model library;
and constructing a field virtual reality model according to the field virtual reality basic model.
Further, the acquiring the three-dimensional structure data information of the basic model component includes:
determining an application field of the basic model component;
determining the model type and the model content of the basic model component according to the application field;
analyzing the model type and the model content to obtain a basic component of the basic model component in the application field;
if the basic component is a large-size component, acquiring three-dimensional structure data information of the basic model component through a three-dimensional laser scanner;
and if the basic component is a small-size component, acquiring the three-dimensional structure data information of the basic model component by a three-dimensional scanner.
Further, the three-dimensional structure data information comprises point cloud data information, plane structure information, plane data information and radian structure data information of the component.
Further, the constructing a domain base component model library according to the three-dimensional structure data information of the base model component includes:
inputting the three-dimensional structure data information of the basic model component into a model component artificial intelligence recovery module to obtain discontinuous spatial point cloud data;
and filling the added point cloud data into the discontinuous spatial point cloud data according to a three-dimensional data recovery algorithm, thereby constructing the field basic component model base.
Further, constructing a domain virtual reality base model according to the domain base component model library includes:
determining an application field of the field virtual reality basic model;
searching a model component library corresponding to the application field of the field virtual reality basic model from the field basic component model library, and generating a preview interface of the model component;
and synthesizing the seam points of different model components from the preview interface of the model components to obtain the field virtual reality basic model.
Further, constructing a domain virtual reality model according to the domain virtual reality base model includes:
determining parameter information of the field virtual reality basic model according to demand information, wherein the parameter information comprises material information, texture information and ornamentation information;
and constructing the field virtual reality model according to the parameter information.
Further, the method further comprises:
and reconstructing the field virtual reality model through a model deformation tool, thereby obtaining the reconstructed field virtual reality model.
In a second aspect, an embodiment of the present invention further provides an artificial intelligence-based virtual reality-oriented rapid model building apparatus, where the apparatus includes:
the acquiring unit is used for acquiring three-dimensional structure data information of the basic model assembly;
the first construction unit is used for constructing a field basic component model library according to the three-dimensional structure data information of the basic model component;
the second construction unit is used for constructing a field virtual reality basic model according to the field basic component model library;
and the third construction unit is used for constructing a field virtual reality model according to the field virtual reality basic model.
Further, the obtaining unit is specifically configured to:
determining an application field of the basic model component;
determining the model type and the model content of the basic model component according to the application field;
analyzing the model type and the model content to obtain a basic component of the basic model component in the application field;
if the basic component is a large-size component, acquiring three-dimensional structure data information of the basic model component through a three-dimensional laser scanner;
and if the basic component is a small-size component, acquiring the three-dimensional structure data information of the basic model component by a three-dimensional scanner.
Further, the three-dimensional structure data information comprises point cloud data information, plane structure information, plane data information and radian structure data information of the component.
The embodiment of the invention provides a method and a device for constructing a virtual reality-oriented rapid model based on artificial intelligence, which comprises the following steps: acquiring three-dimensional structure data information of a basic model assembly; constructing a field basic component model library according to the three-dimensional structure data information of the basic model component; constructing a field virtual reality base model according to the field base component model library; the method comprises the steps of constructing a field virtual reality model according to a field virtual reality basic model, constructing a reusable structural model assembly, and then quickly constructing required models for different types of application fields by a quick model deformation method, thereby saving design time.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for constructing a virtual reality-oriented rapid model based on artificial intelligence according to an embodiment of the present invention;
fig. 2 is a flowchart of step S101 in the artificial intelligence-based virtual reality-oriented rapid model building method according to the first embodiment of the present invention;
fig. 3 is a flowchart of step S102 in the artificial intelligence-based virtual reality-oriented rapid model building method according to an embodiment of the present invention;
fig. 4 is a flowchart of step S103 in the artificial intelligence-based virtual reality-oriented rapid model building method according to the first embodiment of the present invention;
fig. 5 is a flowchart of step S104 in the artificial intelligence-based virtual reality-oriented rapid model building method according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a virtual reality-oriented rapid model building apparatus based on artificial intelligence according to a second embodiment of the present invention.
Icon:
10-an acquisition unit; 20-a first building element; 30-a second building element; 40-a third building element.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
For the understanding of the present embodiment, the following detailed description will be given of the embodiment of the present invention.
The first embodiment is as follows:
fig. 1 is a flowchart of a method for constructing a virtual reality-oriented rapid model based on artificial intelligence according to an embodiment of the present invention.
Referring to fig. 1, the method includes the steps of:
s101, acquiring three-dimensional structure data information of a basic model assembly;
here, in acquiring the three-dimensional structure data information of the basic model component, different three-dimensional scanning apparatuses are used for acquisition according to components of different sizes.
Step S102, constructing a field basic component model base according to the three-dimensional structure data information of the basic model component;
here, since the three-dimensional structure data information of the base model component acquired in step S101 is not a complete model component, and there may be a case of missing pieces or missing points, it is necessary to construct a domain base component model library.
Step S103, constructing a field virtual reality basic model according to the field basic component model library;
and step S104, constructing a field virtual reality model according to the field virtual reality basic model.
Further, referring to fig. 2, step S101 includes the steps of:
step S201, determining the application field of the basic model component;
step S202, determining the model type and the model content of the basic model component according to the application field;
step S203, analyzing the model type and the model content to obtain a basic component of a basic model component in the application field;
step S204, if the basic component is a large-size component, acquiring three-dimensional structure data information of the basic model component through a three-dimensional laser scanner;
in step S205, if the basic component is a small-sized component, three-dimensional structure data information of the basic model component is acquired by the three-dimensional scanner.
Further, the three-dimensional structure data information comprises point cloud data information, plane structure information, plane data information and radian structure data information of the component.
Further, referring to fig. 3, step S102 includes the steps of:
step S301, inputting three-dimensional structure data information of a basic model component into a model component artificial intelligence recovery module to obtain discontinuous spatial point cloud data;
here, the model component artificial intelligence recovery module automatically queries discontinuous spatial point cloud data by using the constructed artificial intelligence knowledge base.
And step S302, filling the added point cloud data into discontinuous spatial point cloud data according to a three-dimensional data recovery algorithm, thereby constructing a field basic component model base.
And filling the added point cloud data into discontinuous spatial point cloud data according to a three-dimensional data re-recovery algorithm, wherein an operator can check the newly constructed point cloud data and check the recovered model component through a real-time preview window. Meanwhile, in order to facilitate manual adjustment, components required for manual later-stage adjustment are further provided in the module, and the adjusted model components are uniformly added into a field basic component model library.
In addition, in order to carry out rapid model design, the invention also combines the model design technology with the artificial intelligence technology, 80% of work in the original model design process is completed by manual participation, especially for the supplement process of the incomplete part of the model, more than 95% of work is completed by manually searching the leakage points, namely searching discontinuous spatial point cloud data, and then supplementing the missing part by utilizing the Geomagic Studio software.
According to the rapid model generation method designed by the invention, the missing points in the model, namely discontinuous spatial point cloud data, are determined by dynamically inquiring and analyzing the large-scale point cloud data in an artificial intelligence mode, and then the added point cloud data is filled into the discontinuous spatial point cloud data according to a three-dimensional data recovery algorithm, so that the number of manual participation is greatly reduced, and the design time is saved.
Further, referring to fig. 4, step S103 includes the steps of:
step S401, determining the application field of the field virtual reality basic model;
s402, searching a model component library corresponding to the application field of the field virtual reality basic model from the field basic component model library, and generating a preview interface of the model component;
and S403, synthesizing the joint points of different model components from the preview interface of the model components to obtain the field virtual reality basic model.
Further, referring to fig. 5, step S104 includes the steps of:
step S501, determining parameter information of the field virtual reality basic model according to the demand information, wherein the parameter information comprises material information, grain information and ornamentation information;
and step S502, constructing a field virtual reality model according to the parameter information.
Further, the method further comprises:
and reconstructing the field virtual reality model through a model deformation tool, thereby obtaining the reconstructed field virtual reality model.
Here, the model morphing tool is a tool for performing development operations such as resizing, bending morphing, stretching, enlargement, and skeleton animation on the domain virtual reality model, that is, morphological adjustment on the domain virtual reality model.
Example two:
fig. 6 is a schematic diagram of a virtual reality-oriented rapid model building apparatus based on artificial intelligence according to a second embodiment of the present invention.
Referring to fig. 6, the apparatus comprises an acquisition unit 10, a first building unit 20, a second building unit 30 and a third building unit 40.
An obtaining unit 10, configured to obtain three-dimensional structure data information of a basic model component;
a first constructing unit 20, configured to construct a domain base component model library according to the three-dimensional structure data information of the base model component;
a second constructing unit 30, configured to construct a domain virtual reality base model according to the domain base component model library;
and a third constructing unit 40, configured to construct the domain virtual reality model according to the domain virtual reality base model.
Further, the obtaining unit 10 is specifically configured to:
determining the application field of the basic model component;
determining the model type and the model content of the basic model component according to the application field;
analyzing the model type and the model content to obtain a basic component of the basic model component in the application field;
if the basic component is a large-size component, acquiring three-dimensional structure data information of the basic model component through a three-dimensional laser scanner;
and if the basic component is a small-size component, acquiring the three-dimensional structure data information of the basic model component by a three-dimensional scanner.
Further, the three-dimensional structure data information comprises point cloud data information, plane structure information, plane data information and radian structure data information of the component.
The embodiment of the invention provides a method and a device for constructing a virtual reality-oriented rapid model based on artificial intelligence, which comprises the following steps: acquiring three-dimensional structure data information of a basic model assembly; constructing a field basic component model library according to the three-dimensional structure data information of the basic model component; constructing a field virtual reality base model according to the field base component model library; the method comprises the steps of constructing a field virtual reality model according to a field virtual reality basic model, constructing a reusable structural model assembly, and then quickly constructing required models for different types of application fields by a quick model deformation method, thereby saving design time.
The embodiment of the invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the steps of the artificial intelligence-based virtual reality-oriented rapid model construction method provided by the embodiment when executing the computer program.
The embodiment of the invention also provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the artificial intelligence-based virtual reality-oriented rapid model construction method are executed.
The computer program product provided in the embodiment of the present invention includes a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment, which is not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. A virtual reality-oriented rapid model construction method based on artificial intelligence is characterized by comprising the following steps:
acquiring three-dimensional structure data information of a basic model assembly;
constructing a field basic component model library according to the three-dimensional structure data information of the basic model component;
constructing a field virtual reality basic model according to the field basic component model library;
constructing a field virtual reality model according to the field virtual reality basic model;
the acquiring of the three-dimensional structure data information of the basic model component comprises:
determining an application field of the basic model component;
determining the model type and the model content of the basic model component according to the application field;
analyzing the model type and the model content to obtain a basic component of the basic model component in the application field;
if the basic component is a large-size component, acquiring three-dimensional structure data information of the basic model component through a three-dimensional laser scanner;
if the basic component is a small-size component, acquiring three-dimensional structure data information of the basic model component through a three-dimensional scanner;
the method for constructing the field basic component model library according to the three-dimensional structure data information of the basic model component comprises the following steps:
inputting the three-dimensional structure data information of the basic model component into a model component artificial intelligence recovery module to obtain discontinuous spatial point cloud data;
filling the added point cloud data into the discontinuous spatial point cloud data according to a three-dimensional data recovery algorithm, thereby constructing the field basic component model base;
the method for constructing the field virtual reality foundation model according to the field foundation component model library comprises the following steps:
determining an application field of the field virtual reality basic model;
searching a model component library corresponding to the application field of the field virtual reality basic model from the field basic component model library, and generating a preview interface of the model component;
and synthesizing the seam points of different model components from the preview interface of the model components to obtain the field virtual reality basic model.
2. The artificial intelligence based virtual reality oriented rapid model building method according to claim 1, wherein the three-dimensional structure data information comprises point cloud data information, plane structure information, plane data information and radian structure data information of components.
3. The method for constructing the artificial intelligence-based virtual reality-oriented rapid model according to claim 1, wherein constructing the domain virtual reality model according to the domain virtual reality base model comprises:
determining parameter information of the field virtual reality basic model according to demand information, wherein the parameter information comprises material information, texture information and ornamentation information;
and constructing the field virtual reality model according to the parameter information.
4. The artificial intelligence based virtual reality oriented rapid model building method according to claim 1, further comprising:
and reconstructing the field virtual reality model through a model deformation tool, thereby obtaining the reconstructed field virtual reality model.
5. A quick model building device facing virtual reality based on artificial intelligence is characterized in that the device comprises:
the acquiring unit is used for acquiring three-dimensional structure data information of the basic model assembly;
the first construction unit is used for constructing a field basic component model library according to the three-dimensional structure data information of the basic model component;
the second construction unit is used for constructing a field virtual reality basic model according to the field basic component model library;
the third construction unit is used for constructing a field virtual reality model according to the field virtual reality basic model;
the obtaining unit is specifically configured to:
determining an application field of the basic model component;
determining the model type and the model content of the basic model component according to the application field;
analyzing the model type and the model content to obtain a basic component of the basic model component in the application field;
if the basic component is a large-size component, acquiring three-dimensional structure data information of the basic model component through a three-dimensional laser scanner;
if the basic component is a small-size component, acquiring three-dimensional structure data information of the basic model component through a three-dimensional scanner;
the first building unit is specifically configured to:
inputting the three-dimensional structure data information of the basic model component into a model component artificial intelligence recovery module to obtain discontinuous spatial point cloud data;
filling the added point cloud data into the discontinuous spatial point cloud data according to a three-dimensional data recovery algorithm, thereby constructing the field basic component model base;
the second building unit is specifically configured to:
determining an application field of the field virtual reality basic model;
searching a model component library corresponding to the application field of the field virtual reality basic model from the field basic component model library, and generating a preview interface of the model component;
and synthesizing the seam points of different model components from the preview interface of the model components to obtain the field virtual reality basic model.
6. The artificial intelligence based virtual reality oriented rapid model building device according to claim 5, wherein the three-dimensional structure data information comprises point cloud data information, plane structure information, plane data information and radian structure data information of components.
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