CN112884878A - Method for displaying cumulus cloud three-dimensional model - Google Patents
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Abstract
The embodiment of the disclosure discloses a method and a device for displaying a cumulus cloud three-dimensional model, electronic equipment and a computer readable medium. One embodiment of the method comprises: acquiring a cloud collection image; processing the cloud image to obtain a processed image; inputting the processed image into a pre-trained generation network to obtain a cloud three-dimensional voxel model; converting the cloud three-dimensional voxel model into a cloud three-dimensional model with a triangular grid structure; and controlling the electronic equipment with the projection function to perform projection display on the cloud three-dimensional model. The embodiment realizes the generation of the controllable cloud three-dimensional model and improves the generation efficiency.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a method and a device for displaying an integrating cloud three-dimensional model, electronic equipment and a computer readable medium.
Background
Nowadays, the cloud collection simulation is concerned in many fields such as outdoor scene simulation, games, virtual geographic environments, meteorological research and the like.
In the prior art, the modeling of the cumulus cloud mostly comprises a relatively complicated manual operation task, and the obtained cumulus cloud three-dimensional model has obvious artificial traces, is complicated in process and is difficult to control.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose methods, apparatuses, electronic devices and computer readable media for displaying an integrating cloud three-dimensional model to solve the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a method for displaying a cloudlet three-dimensional model, the method comprising: acquiring a cloud collection image; processing the cloud image to obtain a processed image; inputting the processed image into a pre-trained generation network to obtain a cloud three-dimensional voxel model; converting the cloud three-dimensional voxel model into a cloud three-dimensional model with a triangular grid structure; and controlling the electronic equipment with the projection function to perform projection display on the cloud three-dimensional model.
In a second aspect, some embodiments of the present disclosure provide an apparatus for displaying a cloudlet three-dimensional model, the apparatus comprising: an acquisition unit configured to acquire a clouded image; the processing unit is configured to process the cloud collection image to obtain a processed image; the generating unit is configured to input the processing image into a pre-trained generating network to obtain a cloud three-dimensional voxel model; a conversion unit configured to convert the cloud-integrated three-dimensional voxel model into a cloud-integrated three-dimensional model of a triangular mesh structure; and the display unit is configured to control the electronic equipment with the projection function to perform projection display on the cloud three-dimensional model.
In a third aspect, an embodiment of the present application provides an electronic device, where the network device includes: one or more processors; storage means for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described in any implementation of the first aspect.
In a fourth aspect, the present application provides a computer-readable medium, on which a computer program is stored, which, when executed by a processor, implements the method as described in any implementation manner of the first aspect.
One of the above-described various embodiments of the present disclosure has the following advantageous effects: first, a cloud image is acquired. And finally, processing the cloud collection image to obtain a processed image. And inputting the processed image into a pre-trained generation network to obtain a cloud three-dimensional voxel model. And then, converting the cloud three-dimensional voxel model into a cloud three-dimensional model with a triangular grid structure. And finally, controlling the electronic equipment with the projection function to perform projection display on the cumulus cloud three-dimensional model, so that the cumulus cloud image is converted into the cumulus cloud three-dimensional model, the controllable generation of the cumulus cloud three-dimensional model is realized, and the generation efficiency is improved.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
FIG. 1 is an architectural diagram of an exemplary system in which some embodiments of the present disclosure may be applied;
FIG. 2 is a flow diagram of some embodiments of a method of displaying a cumulus cloud three-dimensional model according to the present disclosure;
FIG. 3 is a schematic structural diagram of some embodiments of a display cloudiness three-dimensional model apparatus according to the present disclosure;
FIG. 4 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 illustrates an exemplary system architecture 100 of a display clouding three-dimensional model method or display clouding three-dimensional model apparatus to which some embodiments of the present disclosure may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
A user may interact with a server 105 over a network 104 using terminal devices 101, 102, 103 to obtain a cloudlet image or the like. Various image acquisition applications, such as a photographing-type application, may be installed on the terminal apparatuses 101, 102, 103.
The terminal apparatuses 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices including, but not limited to, smart phones, tablet computers, e-book readers, laptop portable computers, desktop computers, and the like. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
The server 105 may be a server that provides various services, such as a background server that provides support for generating a cloudlet three-dimensional model on the terminal devices 101, 102, 103. The background server can analyze and process the received data such as the cloud image and feed back a processing result (such as cloud three-dimensional image data) to the terminal device.
It should be noted that the method for displaying the cloud three-dimensional model provided by the embodiment of the present disclosure is generally performed by the server 105. Accordingly, the means for displaying the cloudlet three-dimensional model is typically provided in the server 105.
The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules, for example, to provide distributed services, or as a single piece of software or software module. And is not particularly limited herein.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to fig. 2, a flow 200 of some embodiments of a display volume cloud three-dimensional model method according to the present disclosure is shown. The method for displaying the cumulus cloud three-dimensional model comprises the following steps:
In some embodiments, an execution subject (e.g., a server shown in fig. 1) of the method of displaying the clouding three-dimensional model may receive the clouding image from a terminal with which a user performs clouding image photographing, through a wired connection manner or a wireless connection manner.
In some embodiments, based on the clouding image obtained in step 201, the executing subject may process the clouding image to obtain a processed image. As an example, the above processing may be binarization processing, conversion to grayscale image processing, compressed image processing, or the like of an image.
In some optional implementations of the embodiments, the executing subject may convert the clouded image into a grayscale image; carrying out binarization on the gray level image to obtain a first processed image; performing mathematical morphology processing on the first processed image to obtain a segmentation result; and performing pixel-by-pixel dot multiplication on the segmentation result and the cloud image to obtain a processed image.
Here, the above-mentioned grayscale image generally refers to an image having only one sampling color per pixel. The binarization generally refers to a process of setting a gray value of a pixel point on an image to 0 or 255. The Mathematical morphology (Mathematical morphology) generally refers to an image analysis subject based on lattice theory and topology, and is a basic theory of Mathematical morphology image processing. As examples, erosion and dilation, open or closed arithmetic, and the like may be possible.
And 203, inputting the processed image into a pre-trained generation network to obtain a cloud three-dimensional voxel model.
In some embodiments, an executive body of the method for displaying a cloud three-dimensional model may input the processed image to a pre-trained generation network to obtain a cloud three-dimensional voxel model. Here, the generation network generally refers to a correspondence relationship between the processed image and the cumulus three-dimensional voxel model. As an example, the above generation network may be a correspondence table of the processing image and the cumulus three-dimensional voxel model. The above voxels are generally referred to as short names of volume elements, and a solid containing the voxels may be represented by a solid rendering or by extracting a polygonal isosurface of a given threshold contour. The three-dimensional voxel model described above generally refers to a three-dimensional model formed by a voxel imaging method.
In some optional implementations of some embodiments, the generating network is trained according to the following steps: and acquiring a training sample set, wherein the training sample comprises a sample processing image and a sample three-dimensional voxel model corresponding to the sample processing image. And inputting the training samples into an initial network to obtain a three-dimensional voxel model. And determining a loss function according to the three-dimensional voxel model and the sample three-dimensional voxel model. And determining whether the training of the generated network is finished according to the loss function. And determining the initial network as a generation network in response to determining that the initial network training is completed.
Here, the initial network described above is typically used to characterize an imperfect correspondence of the processed image to the three-dimensional voxel model. By way of example, there may be incomplete function expressions or incomplete correspondence tables, etc. The above-described loss function is typically used to characterize the difference between the actual output and the expected output of the initial network. The above-mentioned loss function may be in the form of a numerical value or a formula, for example. And when the loss function meets a preset condition, determining the initial network as a generation network. As an example, the predetermined condition described above may be that the loss function is less than or equal to a threshold value, or the like.
In some optional implementations of some embodiments, the performing agent may adjust the relevant parameters in the initial network in response to determining that the initial network training is not complete.
And step 204, converting the cloud three-dimensional voxel model into a cloud three-dimensional model of a triangular grid.
In some embodiments, the execution subject may convert the cloudlet three-dimensional voxel model to a cloudlet three-dimensional model of a triangular mesh. Here, the above-mentioned triangular mesh generally refers to a polygonal mesh composed of triangles. As an example, the execution body may convert the three-dimensional voxel model into a cumulant three-dimensional model of a triangular mesh structure according to a Marching Cubes (MC) method. Here, the clouding three-dimensional model generally refers to a result of converting the clouding image into a three-dimensional model.
In some optional implementations of some embodiments, the executing entity may delete an isolated patch of a triangular patch of the clouded three-dimensional voxel model after the converting the clouded three-dimensional voxel model into a clouded three-dimensional model of a triangular mesh structure; deleting repeated patches in the triangular patches of the cloud three-dimensional model; and repairing discontinuous parts in the triangular patch of the cloud three-dimensional model.
And step 205, controlling the electronic equipment with the projection function to perform projection display on the cumulus cloud three-dimensional model.
In some embodiments, the executing subject may control an electronic device with a projection function to perform projection display on the clouding three-dimensional model.
The method provided by some embodiments of the disclosure realizes controllable generation of the cumulus cloud three-dimensional model, and improves the generation efficiency.
With further reference to fig. 3, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a device for displaying a cloudlet three-dimensional model, which correspond to those shown in fig. 2, and which may be applied in various electronic devices.
As shown in fig. 3, the display cloud three-dimensional model apparatus 300 of some embodiments includes: an acquisition unit 301, a processing unit 302, a generation unit 303, a conversion unit 304, and a display unit 305. Wherein, the obtaining unit 301 is configured to obtain a clouding image; the processing unit 302 is configured to process the cloud collection image to obtain a processed image, and extract a keyword set; the generating unit 303 is configured to input the processed image to a pre-trained generating network to obtain a cloud three-dimensional voxel model; the conversion unit 304 is configured to convert the cloud three-dimensional voxel model into a cloud three-dimensional model of a triangular mesh structure; the display unit 305 is configured to control an electronic device having a projection function to perform projection display on the clouded three-dimensional model.
In some optional implementations of some embodiments, the processing unit 302 is further configured to: converting the cloud image into a gray image; carrying out binarization on the gray level image to obtain a first processed image; performing mathematical morphology processing on the first processed image to obtain a segmentation result; and performing pixel-by-pixel dot multiplication on the segmentation result and the cloud image to obtain a processed image.
In some optional implementations of some embodiments, the generating network is trained according to the following steps: acquiring a training sample set, wherein the training sample comprises a sample processing image and a sample three-dimensional voxel model corresponding to the sample processing image; inputting the training samples into an initial network to obtain a three-dimensional voxel model; determining a loss function according to the three-dimensional voxel model and the sample three-dimensional voxel model; determining whether the training of the generated network is finished according to the loss function; and determining the initial network as a generation network in response to determining that the initial network training is completed.
In some optional implementations of some embodiments, the display cloud three-dimensional model apparatus 300 further includes an adjusting unit configured to: and adjusting relevant parameters in the initial network in response to determining that the initial network training is not completed.
In some optional implementations of some embodiments, the display cloud three-dimensional model apparatus 300 further includes a deletion unit configured to: deleting an isolated patch in a triangular patch of the cloud three-dimensional model; deleting repeated patches in the triangular patches of the cloud three-dimensional model; and repairing discontinuous parts in the triangular patch of the cloud three-dimensional model.
Referring now to fig. 4, a schematic diagram of an electronic device (e.g., the server of fig. 1) 400 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 4 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 409, or from the storage device 408, or from the ROM 402. The computer program, when executed by the processing apparatus 401, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring a cloud collection image; processing the cloud image to obtain a processed image; inputting the processed image into a pre-trained generation network to obtain a cloud three-dimensional voxel model; converting the cloud three-dimensional voxel model into a cloud three-dimensional model with a triangular grid structure; and controlling the electronic equipment with the projection function to perform projection display on the cloud three-dimensional model.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a processing unit, a generation unit, a conversion unit, and a display unit. The names of the units do not form a limitation to the unit itself in some cases, and for example, the acquisition unit may also be described as a "unit that acquires a clouded image".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (8)
1. A method for displaying a clouded three-dimensional model, comprising:
acquiring a cloud collection image;
processing the cloud image to obtain a processed image;
inputting the processed image into a pre-trained generation network to obtain a cloud three-dimensional voxel model;
converting the cloud three-dimensional voxel model into a cloud three-dimensional model of a triangular grid;
and controlling electronic equipment with a projection function to perform projection display on the cumulus cloud three-dimensional model.
2. The method of claim 1, wherein said processing the clouded image to obtain a processed image comprises:
converting the cloud image into a gray image;
carrying out binarization on the gray level image to obtain a first processed image;
performing mathematical morphology processing on the first processed image to obtain a segmentation result;
and performing pixel-by-pixel dot multiplication on the segmentation result and the cloud image to obtain a processed image.
3. The method of claim 1, wherein the generating network is trained according to the following training steps:
acquiring a training sample set, wherein the training sample comprises a sample processing image and a sample three-dimensional voxel model corresponding to the sample processing image;
inputting the training sample into an initial network to obtain a three-dimensional voxel model;
determining a loss function according to the three-dimensional voxel model and the sample three-dimensional voxel model;
determining whether the training of the generating network is finished according to the loss function;
determining the initial network as a generating network in response to determining that the initial network training is complete.
4. The method of claim 3, wherein the method further comprises:
adjusting a relevant parameter in the initial network in response to determining that the initial network training is not complete.
5. The method of claim 1, wherein after said converting the clouded three-dimensional voxel model to a clouded three-dimensional model of a triangular mesh structure, the method further comprises:
deleting an isolated patch in a triangular patch of the cloud three-dimensional model;
deleting repeated patches in the triangular patches of the cloud three-dimensional model;
and repairing discontinuous parts in a triangular patch of the cloud three-dimensional model.
6. An apparatus for displaying a clouded three-dimensional model, comprising:
an acquisition unit configured to acquire a clouded image;
the processing unit is configured to process the cloud collection image to obtain a processed image;
the generating unit is configured to input the processing image into a pre-trained generating network to obtain a cloud three-dimensional voxel model;
a conversion unit configured to convert the clouding three-dimensional voxel model into a clouding three-dimensional model of a triangular mesh structure;
and the display unit is configured to control an electronic device with a projection function to perform projection display on the clouding three-dimensional model.
7. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
8. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-5.
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