CN115564891A - Digital twin reconstruction method for real artistic works - Google Patents
Digital twin reconstruction method for real artistic works Download PDFInfo
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- CN115564891A CN115564891A CN202211155908.0A CN202211155908A CN115564891A CN 115564891 A CN115564891 A CN 115564891A CN 202211155908 A CN202211155908 A CN 202211155908A CN 115564891 A CN115564891 A CN 115564891A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/203—Drawing of straight lines or curves
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/40—Filling a planar surface by adding surface attributes, e.g. colour or texture
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
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Abstract
The invention relates to the technical field of digital twinning, in particular to a digital twinning reconstruction method aiming at a real art work, which comprises the following steps: the method comprises the following steps: scanning the artwork to perform data line drawing; step two: extracting line drawing information, identifying curves and straight lines of the drawn lines, and calculating position information; step three: carrying out digital twinning, and reconstructing a line conversion vector file; step four: generating a picture; step five: and sorting and previewing and screening finished products. According to the invention, in the process of digital twinning, real artwork can be scanned from multiple angles, line tracing information is extracted through curve and straight line feature recognition in a targeted manner, position information is obtained, line drawing is carried out again for twinning, canvas is adopted for layout in the subsequent generation process, and meanwhile, the size of the canvas and the color of the canvas background can be changed and filled, so that various different preview effects can be obtained, the richness of the subsequent whole is greatly improved, and the generation effect of the subsequent whole is further ensured.
Description
Technical Field
The invention relates to the technical field of digital twinning, in particular to a digital twinning reconstruction method for a real art work.
Background
The digital twin is a simulation process integrating multidisciplinary, multi-physical quantity, multi-scale and multi-probability by fully utilizing data such as a physical model, sensor updating and operation history, and mapping is completed in a virtual space so as to reflect the full life cycle process of corresponding entity equipment, and the digital twin is an beyond-reality concept, can be regarded as a digital mapping system of one or more important equipment systems which are dependent on each other, and is applied to more fields such as product design, product manufacturing, medical analysis, engineering construction and the like.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a digital twin reconstruction method for a real art work.
In order to achieve the purpose, the invention adopts the following technical scheme: a digital twin reconstruction method for real artwork comprises the following steps:
the method comprises the following steps: scanning the artwork, namely scanning the artwork through a three-dimensional scanning device, performing feature recognition on the artwork, and performing data line tracing on mark points of the feature recognition;
step two: collecting and inputting line drawing information, extracting the line drawing information, performing curve and straight line identification on the line drawing, calculating a basic numerical value, and calculating position information according to the position of the line drawing in the overall graph;
step three: performing digital twinning based on the calculated basic numerical value and the position information, performing line reconstruction based on the twinned number, and converting the generated line reconstruction into a vector file;
step four: generating a picture, namely generating canvas, converting the insufficient file into bitmap data based on the size of the canvas, and filling and regenerating a background based on pixel points;
step five: and step three and step four are circulated, sequencing and previewing are carried out on the generated structure, and finished products are screened.
In order to further improve the integrity of the three-dimensional scanning process, the invention improves that the three-dimensional scanning process comprises generating planes for the front view, the back view, the elevation view, the depression view and the side view of the artwork.
In order to facilitate the arrangement and filling of subsequent colors, the invention has the improvement that in the second step, the background color is deleted in the process of collecting and inputting the line drawing information.
In order to improve the accuracy of the identification process, the invention improves that in the step two, when the curved line is identified, the curved line identification and the straight line identification are divided, the curvature of the curved line is calculated when the curved line is identified, and the deviation angle is calculated when the straight line is identified.
In order to improve the overall effect of twinning, the invention improves the process of carrying out digital twinning in the third step, which comprises a mirror image number, an equal ratio scaling number, an equal difference scaling number and comprehensive twinning.
In order to improve the color richness, the invention improves that when the background is re-generated in the fourth step, the blank area can be filled based on the color temperature, the color level data, the hue saturation, the contrast and the like required by the product.
In order to improve the controllability of the size of the canvas, the invention has the improvement that the size of the canvas can be flexibly adjusted in the process of generating the canvas in the fourth step.
In order to improve the selectivity of the sequencing preview, the invention has the improvement that in the sequencing preview process in the fifth step, the sequencing preview can be carried out according to the rules of canvas size, visual angle, color filling and the like.
In order to improve the screening effect, the invention has the improvement that in the screening finished product process in the step five, the screening can be simultaneously carried out according to single characteristics or multiple groups of characteristics.
Compared with the prior art, the invention has the advantages and positive effects that:
in the invention, in the process of digital twinning, real artwork can be scanned from multiple angles, line drawing information is extracted and position information is obtained through curve and straight line feature recognition in a targeted manner, then line drawing is performed again for twinning, canvas is adopted for layout in the subsequent generation process, and meanwhile, the size of the canvas and the color of the canvas background can be changed and filled, so that various different preview effects are obtained, the subsequent overall richness is greatly improved, the selectivity is greatly improved, and the subsequent overall generation effect is further ensured.
Drawings
Fig. 1 is a schematic flow chart of a digital twin reconstruction method for real art works according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the description of the present invention, it is to be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention. Further, in the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Examples
Referring to fig. 1, the present invention provides a technical solution: a digital twin reconstruction method for real works of art, comprising the steps of:
the method comprises the following steps: scanning the artwork, namely scanning the artwork through a three-dimensional scanning device, performing feature recognition on the artwork, and performing data line tracing on mark points of the feature recognition;
step two: collecting and inputting line tracing information, extracting the line tracing information, performing curve and straight line identification on the line tracing, calculating a basic numerical value, and performing position information calculation according to the position of the line tracing in the overall graph;
step three: performing digital twinning based on the calculated basic numerical value and the position information, performing line reconstruction based on the twinned digital, and converting the generated line reconstruction into a vector file;
step four: generating a picture, namely generating canvas, converting the underquantity file into bitmap data based on the size of the canvas, and filling and regenerating a background based on pixel points;
step five: and circulating the third step and the fourth step, sequencing and previewing the generated structure, and screening finished products.
In the invention, in the process of digital twinning, real artwork can be scanned from multiple angles, line tracing information is extracted and position information is obtained through curve and straight line feature recognition in a targeted manner, then line drawing is performed again for twinning, canvas is adopted for layout in the subsequent generation process, and meanwhile, the size of the canvas and the color of the canvas background can be changed and filled, so that various different preview effects can be obtained, the subsequent overall richness is greatly improved, the selectivity is greatly improved, and the subsequent overall generation effect is further ensured.
Referring to fig. 1, in the three-dimensional scanning process of the first step, a front view, a back view, a top view, a bottom view and a side view of an artwork are generated to generate a plane, multi-angle scanning is performed on the actual artwork, the integrity of the three-dimensional scanning process can be further improved, in the process of collecting and inputting line drawing information in the second step, background colors are deleted, the layout of the subsequent process can be facilitated by deleting the background colors, in the process of identifying curved lines, the curve identification and the straight line identification are divided into two steps of calculating the curvature of a curve in the process of curve identification and calculating the deviation angle in the process of straight line identification, curve identification and straight line identification are performed, the accuracy in the identification process can be further improved, in the process of digital generation in the third step, the processes of mirror image numbers, equal scaling numbers, equal-difference scaling numbers and comprehensive twinning can be enriched, when the background is filled and regenerated in the fourth step, the blank area can be filled based on color temperature, color level data, hue saturation, contrast and the like required by a product, color details of the blank canvas are controlled, the change of the background condition of the product is convenient to follow, the size of the canvas can be flexibly adjusted in the process of generating the canvas in the fourth step, in the process of sequencing and previewing in the fifth step, sequencing and previewing can be carried out according to the rules of the canvas size, the visual angle, the color filling and the like, sequencing and previewing is carried out through the information of the canvas size, the visual angle, the color filling and the like, comparison can be conveniently carried out, the follow-up screening is convenient, in the process of screening the product in the fifth step, screening can be carried out simultaneously according to single characteristics or multiple groups of characteristics, and the screening effect in the screening process can be further improved by adopting the method.
The working principle is as follows: in the process of carrying out digital twinning, firstly, an artwork is scanned, the artwork is scanned through a three-dimensional scanning device, the characteristics of the artwork are recognized, line tracing is carried out on mark points of the characteristics are recognized, then line tracing information is collected and recorded, line tracing information is extracted, curved line recognition is carried out on the drawn lines, basic numerical values are calculated, position information calculation is carried out according to the positions of the drawn lines in a whole graph, digital twinning is carried out based on the calculated basic numerical values and the position information, line reconstruction is carried out based on the numbers of the twins, the generated constructed lines are converted into vector files, canvas is generated, deficient files are converted into bitmap data based on the size of the canvas, the background is filled and regenerated based on pixel points, finally, the third step and the fourth step are repeated, sequencing preview is carried out on generated structures, finished products are screened, in the whole process, the artwork can be scanned from multiple angles, the drawn line information can be extracted through the curved line characteristic recognition in the whole process, the background information is obtained, the position information is re-sketched, layout is carried out, the canvas is adopted in the subsequent layout process, meanwhile, the canvas can be used for greatly changing the filling effect of the whole canvas, the whole canvas is greatly improved, and the overall previewing effect of the subsequent color preview is further improved.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention.
Claims (9)
1. A digital twin reconstruction method for real artwork is characterized by comprising the following steps:
the method comprises the following steps: scanning the artwork, namely scanning the artwork through a three-dimensional scanning device, performing feature recognition on the artwork, and performing data line tracing on mark points of the feature recognition;
step two: collecting and inputting line tracing information, extracting the line tracing information, performing curve and straight line identification on the line tracing, calculating a basic numerical value, and performing position information calculation according to the position of the line tracing in the overall graph;
step three: performing digital twinning based on the calculated basic numerical value and the position information, performing line reconstruction based on the twinned numbers, and converting the generated line reconstruction into a shortage file;
step four: generating a picture, namely generating canvas, converting the vector file into bitmap data based on the size of the canvas, and filling and regenerating a background based on pixel points;
step five: and circulating the third step and the fourth step, sequencing and previewing the generated structure, and screening finished products.
2. The method of digital twinning reconstruction for a work of real art of claim 1, wherein: and in the first three-dimensional scanning process, generating planes for the front view angle, the back view angle, the elevation view angle, the depression angle and the side view angle of the artwork.
3. The method of digital twinning reconstruction for real artwork of claim 1, wherein: and in the second step, the background color is deleted in the process of collecting and inputting the line drawing information.
4. The method of digital twinning reconstruction for real artwork of claim 1, wherein: and in the second step, when the curve and the straight line are identified, the curve identification and the straight line identification are carried out, the curvature of the curve is calculated during the curve identification, and the deviation angle is calculated during the straight line identification.
5. The method of digital twinning reconstruction for a work of real art of claim 1, wherein: and in the third step, the process of digital twinning comprises mirror image numbers, geometric scaling numbers, arithmetic scaling numbers and comprehensive twinning.
6. The method of digital twinning reconstruction for a work of real art of claim 1, wherein: when the background is newly generated in the fourth step, the blank area may be filled based on the color temperature, the tone scale data, the hue saturation, the contrast, and the like required by the product.
7. The method of digital twinning reconstruction for real artwork of claim 1, wherein: in the process of generating the canvas in the fourth step, the size of the canvas can be flexibly adjusted.
8. The method of digital twinning reconstruction for real artwork of claim 1, wherein: in the process of sequencing and previewing in the fifth step, sequencing and previewing can be carried out according to the rules of canvas size, visual angle, color filling and the like.
9. The method of digital twinning reconstruction for a work of real art of claim 1, wherein: and in the screening finished product process in the fifth step, screening can be simultaneously carried out according to single characteristics or multiple groups of characteristics.
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| CN202211155908.0A CN115564891A (en) | 2022-09-21 | 2022-09-21 | Digital twin reconstruction method for real artistic works |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116151917A (en) * | 2023-01-04 | 2023-05-23 | 上海铱维思智能科技有限公司 | Transaction right determining method and system based on three-dimensional model |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116151917A (en) * | 2023-01-04 | 2023-05-23 | 上海铱维思智能科技有限公司 | Transaction right determining method and system based on three-dimensional model |
| CN116151917B (en) * | 2023-01-04 | 2024-02-13 | 上海铱维思智能科技有限公司 | Transaction right determining method and system based on three-dimensional model |
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