CN117668575A - Method, device, equipment and storage medium for constructing data model of light shadow show - Google Patents
Method, device, equipment and storage medium for constructing data model of light shadow show Download PDFInfo
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Abstract
The application discloses a data model construction method, device and equipment for a shadow show and a storage medium, wherein the method comprises the following steps: obtaining live-action data and picture data; constructing a lattice space model based on the live-action data and the picture data; acquiring a first relative coordinate position of a target position point from a lattice space model; acquiring satellite navigation data to construct a satellite navigation space model; acquiring a second relative coordinate position of the same target position point from the satellite navigation space model; and if the first relative coordinate position and the second relative coordinate position of the target position point are the same, selecting a lattice space model or a satellite navigation space model as a data model of the shadow show. The method and the device can improve the accuracy of the shadow show data model.
Description
Technical Field
The application relates to the technical field of data processing of shadow shows, in particular to a method, a device, equipment and a storage medium for constructing a data model of the shadow shows.
Background
A Light show (Light show) is a form of visual performance created by Light and projection techniques. The device projects patterns, animations, images and the like on specific performance areas by using devices such as lights, projectors and the like on specific scenes such as buildings, scenic spots, stages and the like so as to create a wonderful and unique visual effect.
The data required for a light show typically needs to be collected on a specific site or equipment, such as a specific stage, lighting equipment, etc. Because of the limitation of resources such as fields, equipment and the like and the effect of facilitating manufacturers to better control and adjust the shadow show, the traditional data acquisition method is single (such as acquiring satellite image data), but the single acquisition method enables the acquired data to be discontinuous, so that effective space data cannot be effectively generated, namely, the generated shadow show data model is inaccurate.
Disclosure of Invention
The application provides a data model construction method, device and equipment for a shadow show and a storage medium, which can improve the accuracy of the shadow show data model.
In a first aspect, the present application provides a method for constructing a data model of a light show, where the method includes:
obtaining live-action data and picture data;
constructing a lattice space model based on the live-action data and the picture data;
acquiring a first relative coordinate position of a target position point from a lattice space model;
acquiring satellite navigation data to construct a satellite navigation space model;
acquiring a second relative coordinate position of the same target position point from the satellite navigation space model;
and if the first relative coordinate position and the second relative coordinate position of the target position point are the same, selecting a lattice space model or a satellite navigation space model as a data model of the shadow show.
The further technical scheme is that the method for constructing the lattice space model based on the live-action data and the picture data comprises the following steps:
acquiring all frame images of live-action data and picture data;
carrying out unification treatment on all the frame images according to a preset pixel proportion to obtain a plurality of frame images with uniform pixel proportion;
extracting pixel information from a plurality of frame images with uniform pixel proportions;
rendering the pixel information into a preset three-dimensional lattice space to generate lattice data;
and obtaining a lattice space model based on the lattice data.
The further technical scheme is that the pixel information comprises pixel color shade values, the pixel information is rendered into a preset three-dimensional lattice space, and lattice data are generated, and the method comprises the following steps:
creating a lattice data structure;
judging whether the pixel color shade value of the frame image is larger than a preset standard value or not;
if the pixel color shade value of the frame image is larger than or equal to a preset standard value, filling in the lattice data structure by adopting a pixel triangle;
if the pixel color shade value of the frame image is smaller than the preset standard value, filling in the lattice data structure by adopting a pixel cube;
and representing the data filled in the lattice data structure as lattice data.
The further technical scheme is that after the data filled in the lattice data structure is represented as lattice data, the method further comprises the steps of:
judging whether an unpaired frame image exists or not;
if yes, circularly rendering the pixel information into a preset three-dimensional lattice space;
if not, converting the obtained lattice data into lattice data in a preset format.
The further technical scheme is that the method for acquiring the first relative coordinate position of the target position point from the lattice space model comprises the following steps:
selecting a target reference point from the lattice space model as an origin to construct a first space coordinate position system, and obtaining first relative coordinate positions of all lattice data;
and selecting the first relative coordinate position corresponding to the target position point from the first relative coordinate positions of all the lattice data.
The further technical scheme is that the method for acquiring the second relative coordinate position of the same target position point from the satellite navigation space model comprises the following steps:
selecting the same target reference point from the satellite navigation space model as an origin to construct a second space coordinate position system, and obtaining second relative coordinate positions of all satellite navigation data;
and selecting a second relative coordinate position corresponding to the target position point from the second relative coordinate positions of all the satellite navigation data.
The further technical scheme is that the satellite navigation data comprises position information, time stamp information and propagation time information of a plurality of satellites, and the satellite navigation data is obtained to construct a satellite navigation space model, comprising:
performing error correction on the position information, the time stamp information and the propagation time information of a plurality of satellites; obtaining the position information, the time stamp information and the propagation time information of the calibrated satellite;
and constructing a satellite navigation space model by using the calibrated position information, the time stamp information and the propagation time information of the satellite.
In a second aspect, the present application provides a data model construction device of a light show, the data model construction device of the light show comprising means for performing the method as described above.
In a third aspect, the present application provides an electronic device comprising a memory and a processor, the memory having stored thereon a computer program for performing the steps of any of the methods described herein above.
In a fourth aspect, the present application further provides a computer readable storage medium storing a computer program which, when executed by a processor, is configured to implement the above-described data model construction method for a light show.
The beneficial effects of this application are: different from the situation of the prior art, the data model construction method of the shadow show provided by the application constructs a dot matrix space model by utilizing the acquired live-action data and the picture data, constructs a satellite navigation space model by utilizing the acquired satellite navigation data, and respectively carries out matching comparison on the same position point at the relative coordinate positions of the dot matrix space model and the satellite navigation space model so as to integrate the two space models. When the relative coordinate positions of the same position point in the lattice space model and the satellite navigation space model are different, the two models are optimized and calibrated until the two models are completely matched, and any matched model is selected as a data model of the shadow show. The space data can be effectively collected and integrated by combining the lattice space model and the satellite navigation space model, faults among the data can be eliminated, a space data model with continuity and integrity is generated, and the accuracy of the shadow display data model is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a flowchart of a first embodiment of a method for constructing a data model of a light show provided in the present application;
FIG. 2 is a flow chart of an embodiment of constructing a lattice space model in the method for constructing a data model of a light show provided in the present application;
fig. 3 is a schematic structural diagram of an embodiment of a computer readable storage medium provided in the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not limiting. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present application are shown in the drawings. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
A Light show (Light show) is a form of visual performance created by Light and projection techniques. The device projects patterns, animations, images and the like on specific performance areas by using devices such as lights, projectors and the like on specific scenes such as buildings, scenic spots, stages and the like so as to create a wonderful and unique visual effect.
The data required for a light show typically needs to be collected on a specific site or equipment, such as a specific stage, lighting equipment, etc. Because of the limitation of resources such as fields, equipment and the like and the effect of facilitating manufacturers to better control and adjust the shadow show, the traditional data acquisition method is single (such as acquiring satellite image data), but the single acquisition method enables the acquired data to be discontinuous, so that effective space data cannot be effectively generated, namely, the generated shadow show data model is inaccurate.
Therefore, in order to solve the technical problem that in the prior art, due to the fact that a single acquisition method is adopted, acquired data are discontinuous, effective space data cannot be effectively generated, namely, a generated shadow show data model is inaccurate, the application provides a shadow show data model construction method, and accuracy of the shadow show data model can be improved. See in particular the examples below.
The method for constructing the data model of the shadow show provided by the application is described in detail below. Referring to fig. 1 specifically, fig. 1 is a flowchart of a first embodiment of a method for constructing a data model of a light show provided in the present application. The method comprises the following steps:
step 110: and acquiring live-action data and picture data.
The live-action data and the picture data can be obtained by means of aerial photography, unmanned aerial vehicle photography, laser radar scanning and the like.
Step 120: and constructing a lattice space model based on the live-action data and the picture data.
Wherein lattice space models are typically used to describe objects, images, data, etc. in a discrete two-dimensional or three-dimensional space. The lattice space model can be used in the fields of computer graphics, image processing, computer aided design and the like.
The real scene data and the picture data can be processed to obtain dot matrix data, and then a dot matrix space model is constructed based on the dot matrix data.
Step 130: and acquiring a first relative coordinate position of the target position point from the lattice space model.
For example, a target reference point can be selected from the lattice space model as an origin to construct a first space coordinate position system, so as to obtain first relative coordinate positions of all lattice data; and then selecting the first relative coordinate position corresponding to the target position point from the first relative coordinate positions of all the lattice data.
The target reference point generally selects the project target as the origin of coordinates, such as the light ferris wheel in the Shenzhen Baoan's bay area and the three sail screens in Henan, henan.
Step 140: and acquiring satellite navigation data to construct a satellite navigation space model.
The satellite navigation data refer to navigation data acquired through a global navigation satellite system, and the global navigation satellite system comprises a GPS system, a Beidou system, a Galileo system and a Grosvenor system. In some specific embodiments, the satellite navigation data is exemplified by acquired GPS data, but this is not meant to limit the application, and the satellite navigation data may also be beidou navigation data, galileo navigation data, or the like.
The satellite navigation data may include position information, timestamp information, propagation time information, and the like of a plurality of satellites, and the process of constructing the satellite navigation space model may specifically include the following procedures:
1) Data collection and processing: such as collecting global positioning system data from multiple satellites. These global positioning system data include satellite position, time stamp, and travel time information.
Wherein the collected global positioning system data needs to be corrected and processed to remove noise, errors, offsets, etc.
2) Satellite orbit calculation: using the collected global positioning system data, accurate orbit parameters for each satellite are calculated. The orbit parameters include orbit height, orbit inclination angle, ascending intersection point longitude and the like.
These orbit parameters are used for locating the receiver position.
3) Receiver positioning: the position of the receiver is calculated by using the collected global positioning system data and the accurate orbit parameters of the satellites and adopting more complex algorithms such as a triangulation method or multi-agent positioning. Wherein the position of the receiver can be deduced by calculating the propagation times of signals received from a plurality of satellites.
Illustratively, the position is calculated using triangulation based on signal propagation times received from a plurality of satellites.
4) Error correction: positioning errors exist because global positioning system data may be affected by atmospheric, terrain, and other disturbances during the propagation process.
Accordingly, corrective measures can be taken to improve positioning accuracy. The correction measure can be Kalman filtering, differential GPS or multipath inhibition.
The correction measures can be selected and combined according to specific positioning requirements and environmental conditions so as to reduce the influence of factors such as atmospheric delay, clock error, multipath effect, dynamic motion and the like on positioning accuracy to the greatest extent, thereby improving the accuracy and reliability of GPS positioning.
5) Modeling spatial data: after the calibrated position data is obtained, construction of the spatial model may begin. This may include creating maps, terrain models, navigation paths, etc., depending on the application requirements.
6) Model verification and optimization: after the space model is established, the space model can be verified and optimized according to the requirement.
For example, the results of the model output may be compared with actual measurement data to ensure the accuracy and reliability of the established spatial model. If errors or deviations are found in the established spatial model, the model can be optimized by further data acquisition and correction.
7) Application development: after the space model is established, corresponding application programs or systems can be developed according to the targets of the model. These applications may utilize location, navigation, and other spatial information provided by the model, such as GPS navigation applications, map applications, location services, and the like. By developing an application, a spatial model can be applied to the actual scene and specific functions and services can be provided.
Step 150: and obtaining a second relative coordinate position of the same target position point from the satellite navigation space model.
For example, the same target reference point can be selected from the satellite navigation space model as an origin to construct a second space coordinate position system, so as to obtain second relative coordinate positions of all satellite navigation data; and then selecting a second relative coordinate position corresponding to the target position point from the second relative coordinate positions of all satellite navigation data.
Similarly, as shown in step 130, the target reference point generally selects an item target as the coordinate origin, such as the light ferris wheel light shadow show item of the bay area of Shenzhen baobao, the item target is the light ferris wheel light shadow show item of the bay area, the three sail screen light shadow show items of Henan river, and the item target is the three sail screens. Assuming that the target reference point selected in step 130 is the optical ferris wheel in the Shenzhen Bao 'an bay, the same target reference point is also selected from the satellite navigation space model as the optical ferris wheel in the Shenzhen Bao' an bay.
In addition, assume that there is latitude and longitude position information for the following GPS data points:
GPS data point 1: longitude 120.123456, latitude 30.654321.
GPS data point 2: longitude 120.234567, latitude 30.765432.
GPS data point 3: longitude 120.345678, latitude 30.876543.
The GPS data point 2 is selected as a target reference point, namely, the longitude and the latitude of the point are taken as an origin, the difference between the longitude and the latitude of other GPS data points and the target reference point is calculated, and the difference is applied to the longitude and the latitude of each GPS data point, so that the second relative coordinate position of the GPS data point and the target reference point can be obtained.
Step 160: and if the first relative coordinate position and the second relative coordinate position of the target position point are the same, selecting a lattice space model or a satellite navigation space model as a data model of the shadow show.
The generated lattice space model and the satellite navigation space model are led into a shadow show system, so that the shadow show system can be applied to the shadow show.
If the first relative coordinate position and the second relative coordinate position of the target position point are the same, this means that the target position point has the same coordinate position in the lattice space model and the satellite navigation space model.
For example, a lattice space model and a satellite navigation space model are used in a shadow show of a city to represent the location and shape of a building. If the coordinate positions of a certain target position point (such as the vertex of a building) in the two models are the same, either model can be selected as the data model of the light show because their representations at that point are identical.
According to the data model construction method of the shadow show, the dot matrix space model is constructed by utilizing the acquired live-action data and the picture data, the satellite navigation space model is constructed by utilizing the acquired satellite navigation data, and the same position points are respectively matched and compared at the relative coordinate positions of the dot matrix space model and the satellite navigation space model, so that the integration of the two space models is realized. When the relative coordinate positions of the same position point in the lattice space model and the satellite navigation space model are different, the two models are optimized and calibrated until the two models are completely matched, and any matched model is selected as a data model of the shadow show. Through combining the lattice space model and the satellite navigation space model, the space data can be effectively collected and integrated, faults among the data can be eliminated, a space data model with continuity and integrity is generated, and the accuracy of the shadow display data model is improved.
In some embodiments, step 120: constructing a lattice space model based on the live-action data and the picture data, comprising:
1) And acquiring all frame images of the live-action data and the picture data.
2) And carrying out unification processing on all the frame images according to the preset pixel proportion to obtain a plurality of frame images with uniform pixel proportion.
Wherein the operation of the unification process can be performed using an image processing library or a specific preset format conversion tool.
Since different data sources may provide frame images of different formats and resolutions, all frame images need to be format converted and standardized to ensure that all frame images have the same pixel ratio and format.
3) Pixel information is extracted from a plurality of frame images of uniform pixel proportions.
Wherein, the information such as RGB value, pixel coordinates and the like of each frame of image can be extracted by using an image processing library of a Python programming language. The extracted pixel information may be stored in a predetermined data structure, such as a list, an array, etc., for use in subsequent steps.
4) And rendering the pixel information into a preset three-dimensional lattice space to generate lattice data.
The preset three-dimensional lattice space represents the space size and unit of the lattice model, namely, the space size and unit of the lattice model can be manually determined in the grids of how many rows, columns and layers. Wherein each grid cell may be considered a "pixel" for representing a portion of an object.
Wherein, in some embodiments, the operation of the pixel information including the pixel color shading value, 4) may specifically include the following procedures:
4-1) creating a lattice data structure.
Wherein a data structure may be created in the program to represent the lattice space model. For example, for two-dimensional space, a two-dimensional array may be used, while for three-dimensional space, a three-dimensional array or similar data structure may be used.
4-2) judging whether the pixel color shade value of the frame image is larger than a preset standard value.
The preset standard value may be set manually according to actual situations, for example, if it is desired to extract a dark region in the image, the preset standard value may be set to a higher value; conversely, if it is desired to extract a light area in the image, the preset standard value may be set to a lower value. The present application is not limited herein.
4-3) if the pixel color shade value of the frame image is larger than or equal to a preset standard value, filling in the dot matrix data structure by adopting a pixel triangle.
The pixel triangle is a data representation mode, and can represent dark areas in an image. In the dot matrix data structure, the pixel positions meeting the conditions are filled with pixel triangles, so that dark areas in an image can be clearly represented.
4-4) if the pixel color shade value of the frame image is smaller than the preset standard value, filling in the lattice data structure by adopting a pixel cube.
The pixel cube is another data representation mode, and can represent light areas in an image. In the dot matrix data structure, the pixel positions meeting the conditions are filled with pixel cubes, so that light areas in an image can be clearly represented.
4-5) representing the data populated on the lattice data structure as lattice data.
And taking the filled dot matrix data structure as dot matrix data, wherein the data structure contains all pixel information of the image, and the pixel triangle and the pixel cube are used for respectively representing the color shade of the image.
4-6) judging whether an unconcentrated frame image exists.
4-7) if so, circularly rendering the pixel information into a preset three-dimensional lattice space.
For 4-6) and 4-7), by checking whether there are more frame pictures that are not compared. If so, the 4) operation of rendering the pixel information is circularly executed until all the frame images are processed, so as to ensure that all the frame images are processed and neither is omitted.
4-8) if the dot matrix data does not exist, converting the obtained dot matrix data into dot matrix data in a preset format.
When all frame images are processed and the dot matrix data has been completely filled, the dot matrix data is converted into a preset format. The preset format may be a gmtf format, which is a general 3D data preset format, and may be read and processed by most 3D processing software. Thus, after conversion to the pre-set format, the data may be more conveniently analyzed, visualized, or otherwise processed.
5) And obtaining a lattice space model based on the lattice data.
Among these, various operations and transformations, such as rotation, translation, scaling, etc., may be performed on the resulting lattice space model. The method can be realized by performing corresponding data transformation in a lattice data structure.
Referring to fig. 2 in combination with 1) to 5) above, it can be seen that the construction of the lattice space model generally comprises the steps of:
s1: setting a three-dimensional lattice space.
I.e. defining the spatial dimensions and units of the lattice model, in particular determining the spatial dimensions of the lattice model, such as representing objects in how many rows and columns, and in the number of layers of the grid. Each grid cell may be considered a "pixel" for representing a portion of an object.
S2: and (5) scanning and shooting a target object.
The live-action data and the picture data are obtained in the modes of aerial photography, unmanned aerial vehicle photography, laser radar scanning and the like.
S3: and (5) processing a model reference surface.
For example, a point of the landmark building is selected as the origin of the spatial coordinates, and reference may be made specifically to the relevant statements of step 130 and step 150.
S4: frame picture element proportion is consistent.
And obtaining all frame images of the live-action data and the picture data, and carrying out uniform processing on all frame images according to a preset pixel proportion to obtain a plurality of frame images with uniform pixel proportion.
S5: the frame image pixels extract and render a three-dimensional lattice.
The method comprises the steps of extracting pixel information from a plurality of frame images with uniform pixel proportions, rendering the pixel information into a preset three-dimensional lattice space, and generating lattice data.
Wherein S5 may include the determination of the data representation, the creation of the lattice data structure, and the filling of the data.
In particular, the determination of the data representation may decide how to store information in each grid cell depending on the application of the model. For example, the image may be represented by a color value, the object may be represented by a property of a material, and the data may be represented by a numerical value.
The creation of the lattice data structure may be by creating a data structure in the program to represent the lattice space model. For example, for two-dimensional space, a two-dimensional array may be used, while for three-dimensional space, a three-dimensional array or similar data structure may be used.
Wherein, various operations and transformations, such as rotation, translation, scaling, etc., can be performed on the lattice space model by performing corresponding data transformations in the lattice data structure.
And the filling of the data can be specifically to fill each grid cell of the lattice space model with corresponding data, such as color, numerical value, attribute and the like, according to the requirement.
For example, it may be performed first S6 to determine whether the difference in pixel color shade values is greater than a standard value.
The standard value can be set manually according to actual conditions, namely, the standard value is preset.
And if the pixel color shade value of the frame image is greater than or equal to a preset standard value, executing S7, namely filling the pixel triangle.
I.e. filling in the lattice data structure with pixel triangles.
And if the pixel color shade value of the frame image is smaller than the preset standard value, executing S8 to fill the pixel cube.
I.e. filling in the lattice data structure with pixel cubes.
Wherein, the filled lattice model can be converted into an image by using a rendering technology, namely, the data in the lattice space model is visualized for observation and analysis.
After the filling is completed, S9 is executed to judge whether the unpaired frame image exists or not.
If so, returning to execute the operation of S5 until the non-contrast frame image does not exist.
If not, S10 is executed to convert the lattice data into preset format data.
The preset format may be a gmtf format or other formats.
The whole operation is ended after S10 is performed.
In this process, various operations and transformations, such as rotation, translation, scaling, etc., may be performed on the lattice space model. The method can be realized by performing corresponding data transformation in a lattice data structure.
In addition, since objects or data on the boundary often involve interactions with the external environment or other objects, if not properly handled, problems such as discontinuities in visual effects, inaccuracy in data, etc. may result. Therefore, interpolation, clipping, etc. techniques can be used to handle the boundary conditions of the lattice space.
Further, the operation of the lattice space model can be optimized according to specific application, so as to improve the calculation efficiency and performance.
It should be noted that since lattice space models have different applications and implementations in different fields. Such as pixel lattices in image processing, three-dimensional model lattices in computer-aided design, and the like. Therefore, the specific construction of the lattice space model can select proper steps and technologies according to the practical application field. In practical application, the construction of the lattice space model can be realized by means of a computer programming language and a graphic library.
According to the data model construction method of the shadow show, the dot matrix space model is constructed by utilizing the acquired live-action data and the picture data, the satellite navigation space model is constructed by utilizing the acquired satellite navigation data, and the same position points are respectively matched and compared at the relative coordinate positions of the dot matrix space model and the satellite navigation space model, so that the integration of the two space models is realized. When the relative coordinate positions of the same position point in the lattice space model and the satellite navigation space model are different, the two models are optimized and calibrated until the two models are completely matched, and any matched model is selected as a data model of the shadow show. Through combining the lattice space model and the satellite navigation space model, the space data can be effectively collected and integrated, faults among the data can be eliminated, a space data model with continuity and integrity is generated, and the accuracy of the shadow display data model is improved.
Corresponding to the data model construction method of the light show in the above embodiment, the present application further provides a data model construction device of the light show, where the data model construction device of the light show includes a first obtaining unit, a construction unit, a second obtaining unit, and a processing unit.
The first acquisition unit is used for acquiring live-action data and picture data; the second acquisition unit is used for acquiring satellite navigation data; the construction unit is used for constructing a lattice space model based on the live-action data and the picture data and constructing a satellite navigation space model based on the satellite navigation data; the first acquisition unit is also used for acquiring a first relative coordinate position of the target position point from the lattice space model; the second obtaining unit is further used for obtaining a second relative coordinate position of the same target position point from the satellite navigation space model; and the processing unit is used for selecting a lattice space model or a satellite navigation space model as a data model of the shadow show if the first relative coordinate position and the second relative coordinate position of the target position point are the same.
It can be appreciated that the above units are also used to implement the technical solutions of any of the embodiments of the present application.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an embodiment of a computer readable storage medium provided in the present application, where the computer readable storage medium 90 is used to store a computer program 91, and the computer program 91 when executed by a processor is used to implement the following method steps:
obtaining live-action data and picture data; constructing a lattice space model based on the live-action data and the picture data; acquiring a first relative coordinate position of a target position point from a lattice space model; acquiring satellite navigation data to construct a satellite navigation space model; acquiring a second relative coordinate position of the same target position point from the satellite navigation space model; and if the first relative coordinate position and the second relative coordinate position of the target position point are the same, selecting a lattice space model or a satellite navigation space model as a data model of the shadow show.
It will be appreciated that the computer program 91, when executed by a processor, is also operative to implement aspects of any of the embodiments of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed methods and apparatuses may be implemented in other manners. For example, the above-described device embodiments are merely illustrative, e.g., the division of modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist alone physically, or two or more units may be integrated into one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units of the other embodiments described above may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as stand alone products. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all or part of the technical solution contributing to the prior art or in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is only the embodiments of the present application, and not the patent scope of the present application is limited by the foregoing description, but all equivalent structures or equivalent processes using the contents of the present application and the accompanying drawings, or directly or indirectly applied to other related technical fields, which are included in the patent protection scope of the present application.
Claims (10)
1. A method for constructing a data model of a light show, the method comprising:
obtaining live-action data and picture data;
constructing a lattice space model based on the live-action data and the picture data;
acquiring a first relative coordinate position of a target position point from the lattice space model;
acquiring satellite navigation data to construct a satellite navigation space model;
acquiring a second relative coordinate position of the same target position point from the satellite navigation space model;
and if the first relative coordinate position and the second relative coordinate position of the target position point are the same, selecting the lattice space model or the satellite navigation space model as a data model of a shadow show.
2. The method of claim 1, wherein the constructing a lattice space model based on the live-action data and the picture data comprises:
acquiring all frame images of the live-action data and the picture data;
carrying out unification treatment on all the frame images according to a preset pixel proportion to obtain a plurality of frame images with uniform pixel proportion;
extracting pixel information from the frame images of a plurality of uniform pixel proportions;
rendering the pixel information into a preset three-dimensional lattice space to generate lattice data;
and obtaining the lattice space model based on the lattice data.
3. The method of claim 2, wherein the pixel information includes pixel color shade values, wherein the rendering the pixel information into a preset three-dimensional lattice space generates lattice data, and wherein the generating comprises:
creating a lattice data structure;
judging whether the pixel color shade value of the frame image is larger than a preset standard value or not;
if the pixel color shade value of the frame image is larger than or equal to a preset standard value, filling in the lattice data structure by adopting a pixel triangle;
if the pixel color shade value of the frame image is smaller than a preset standard value, filling in the lattice data structure by adopting a pixel cube;
and representing the data filled in the lattice data structure as lattice data.
4. A method according to claim 3, wherein after representing the data populated on the lattice data structure as lattice data, the method further comprises:
judging whether an unpaired frame image exists or not;
if yes, the step of rendering the pixel information into a preset three-dimensional lattice space is circulated;
if not, converting the obtained lattice data into lattice data in a preset format.
5. The method of any one of claims 2-4, wherein the obtaining a first relative coordinate position of a target location point from the lattice space model comprises:
selecting a target reference point from the lattice space model as an origin to construct a first space coordinate position system, and obtaining first relative coordinate positions of all lattice data;
and selecting a first relative coordinate position corresponding to the target position point from the first relative coordinate positions of all the lattice data.
6. The method of claim 5, wherein the obtaining a second relative coordinate location of the same target location point from the satellite navigation space model comprises:
selecting the same target reference point from the satellite navigation space model as an origin to construct a second space coordinate position system, so as to obtain second relative coordinate positions of all the satellite navigation data;
and selecting a second relative coordinate position corresponding to the target position point from all second relative coordinate positions of the satellite navigation data.
7. The method of claim 1, wherein the satellite navigation data includes position information, time stamp information, and propagation time information of a plurality of satellites, and the acquiring the satellite navigation data constructs a satellite navigation space model comprising:
performing error correction on the position information, the timestamp information and the propagation time information of a plurality of satellites; obtaining the calibrated position information, the time stamp information and the propagation time information of the satellite;
and constructing the satellite navigation space model by using the calibrated position information, the time stamp information and the propagation time information of the satellite.
8. A data model construction device of a light show, characterized in that the data model construction device of a light show comprises means for performing the method according to any of claims 1-7.
9. An electronic device comprising a memory and a processor, the memory having a computer program stored thereon, the processor implementing the method of any of claims 1-7 when executing the computer program.
10. A computer readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the method according to any of claims 1-7.
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