CN110874861A - Three-dimensional digital image acquisition method and equipment - Google Patents
Three-dimensional digital image acquisition method and equipment Download PDFInfo
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Abstract
The invention discloses a three-dimensional digital image acquisition method and equipment, and the method specifically comprises the following steps: s1 early preparation, S2 image acquisition, S3 article rotation scanning, S4 image algorithm processing, S5 image three-dimensional reconstruction, S6 data transmission and consultation, and the invention relates to the technical field of image acquisition. The three-dimensional digital image acquisition method and the equipment can realize the virtual reconstruction of the cultural relics, well achieve the purposes of finishing the three-dimensional acquisition of images and performing the three-dimensional reconstruction of the cultural relics with partial damage and deformity, realize the acquisition of the finished images, and also perform the three-dimensional image acquisition and creation of the cultural relics with partial deformity or partial damaged textures, greatly enrich the application function of the three-dimensional image acquisition technology, thereby greatly facilitating the use of cultural relic research protection workers, and simultaneously realizing the low light compensation during the scanning of the cultural relics and the three-dimensional image acquisition.
Description
Technical Field
The invention relates to the technical field of image acquisition, in particular to a three-dimensional digital image acquisition method and equipment.
Background
Data acquisition means that non-electric quantity or electric quantity signals are automatically acquired from analog and digital units to be tested such as sensors and other devices to be tested and sent to an upper computer for analysis and processing, three-dimensional data acquisition means that a series of sensors or measuring devices are utilized to acquire data of a three-dimensional object to be tested, along with the development of aviation, aerospace technologies and computer digital image processing technologies, the cost of photogrammetry equipment is greatly reduced, digital photogrammetry has become a main means of large-scale and large-area measurement, and abundant geographic space information data can be provided after related data processing, at present, the technology is widely applied to various industries of national economy, plays an important role in the construction and development of national economy, the establishment of a three-dimensional navigation system is an important link of enterprise informatization, and the measurement, acquisition and manufacturing of workshop three-dimensional model data are part of the whole construction process of the three-dimensional navigation system, the three-dimensional model building method is a basis for research and development and operation of a three-dimensional navigation system, aims at problems of enterprises in a three-dimensional modeling process, acquires image data between production vehicles through a three-dimensional data acquisition technology, performs model manufacturing research based on acquired dimensional data, builds a true three-dimensional model, further constructs a three-dimensional database, can integrate with other data on a three-dimensional navigation system frame platform, and provides basic data for design, production processing and fine management of factory products.
At present, when images of cultural relics are acquired, real object scanning is mostly directly carried out through image scanning and acquiring equipment and three-dimensional images are constructed, however, the three-dimensional image acquisition only can be used for acquiring the images, virtual reconstruction of the cultural relics cannot be realized for the cultural relics with partial defects or partially damaged textures, the purposes of not only finishing the three-dimensional acquisition of the images but also carrying out the three-dimensional reconstruction on the partially damaged and defective cultural relics cannot be achieved, and the application functions of the three-dimensional image acquisition technology cannot be enriched, so that inconvenience is brought to the use of cultural relic research and protection workers.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a three-dimensional digital image acquisition method and equipment, which solve the problems that the conventional three-dimensional image acquisition only can acquire images, but for some cultural relics with partial defects or partially damaged textures, the virtual reconstruction of the cultural relics cannot be realized, the purposes of not only finishing the three-dimensional acquisition of the images but also performing the three-dimensional reconstruction on the partially damaged and defective cultural relics cannot be achieved, and the application function of the three-dimensional image acquisition technology cannot be enriched.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a three-dimensional digital image acquisition method specifically comprises the following steps:
s1, firstly, logging in through a user operation execution module in a user interaction terminal, then placing a cultural relic to be scanned and image-collected on an objective table, then starting a rotating mechanism in the objective table to rotate the cultural relic, then carrying out image collection on the cultural relic on the objective table by an image data collection unit, and controlling a shooting time timing module to carry out timing processing by a central processing module during each collection;
s2, collecting images of the cultural relics through the camera shooting module, coding the collected image data through the image data coding module, sequencing the collected image data through the image data sequencing module according to the coded data, then sorting the image data through the image data sorting module, and transmitting the sorted image data into the central processing module for processing;
s3, the central processing module controls a virtual coordinate system creating module in the scanning image processing unit to create a virtual three-dimensional coordinate system by taking the objective table as an original coordinate point, then the coordinate data of the calibrated camera is input into the system through a shooting point coordinate input module, then the coordinates of each characteristic point of the cultural relic on the objective table are scanned and extracted through an object coordinate extraction module, when the scanning speed needs to be adjusted, the rotating speed of a rotating mechanism in the objective table is controlled through a scanning speed adjusting module, and when the light supplement processing needs to be performed, a light supplement lamp is controlled through a scanning light supplement module to perform light supplement processing;
s4, the central processing module controls an image recognition module in the image data recognition unit to recognize the collected image data in a one-to-one correspondence mode, then an image RGB pixel extraction module in the data algorithm processing unit extracts RGB gray value pixels in the image, then an image feature point extraction matching module performs matching analysis processing on each extracted feature point, then a repeated feature point matching module performs overlapping processing on the repeatedly extracted feature points, and then a relation graph construction module constructs a relation graph of the appearance image of the cultural relic;
s5, when the central processing module analyzes the constructed historical relic appearance image relational graph, if the surface defect or the texture is not clear, the central processing module controls a virtual feature point creating module in an image three-dimensional reconstruction unit to create a virtual feature point according to the feature of the defect part or the feature which is not identified by the texture, then the depth value algorithm processing module carries out depth algorithm processing on the feature of the entity part and the created feature point, and then the adjacent matrix calculation module uses a vector matrix algorithm to construct the defect part feature;
and S6, finally, processing results are consulted through a display module in the user interaction terminal, or the central processing module wirelessly transmits the acquired image data and the processed data to the cloud monitoring terminal through the wireless communication module.
Preferably, in step S1, the user interaction terminal includes a user operation execution module, an image data acquisition unit, and a display module, and an output end of the user operation execution module is connected to input ends of the image data acquisition unit and the display module, respectively.
Preferably, the image data acquisition unit in step S2 includes a camera module, an image data coding module, an image data sorting module, and an image data sorting module, an output end of the camera module is connected to an input end of the image data coding module, an output end of the image data coding module is connected to an input end of the image data sorting module, and an output end of the image data sorting module is connected to an input end of the image data sorting module.
Preferably, the scanned image processing unit in step S3 includes a virtual coordinate system creating module, an object coordinate extracting module, a scanning speed adjusting module, and a scanning fill-in light module.
Preferably, the image data identification unit in step S4 is composed of N image identification modules.
Preferably, the data algorithm processing unit in step S4 includes an image RGB pixel point extraction module, an image feature point extraction and matching module, a repeated feature point matching module, and a relational graph construction module.
Preferably, the image three-dimensional reconstruction unit in step S5 includes a virtual feature point creation module, a depth value algorithm processing module, and a vector matrix calculation module.
The invention also discloses three-dimensional digital image acquisition equipment, which comprises a bottom plate and an acquisition box fixedly installed on the bottom plate, wherein the bottom of the inner wall of the acquisition box is fixedly provided with an objective table through an installation block, both sides of the inner wall of the acquisition box are fixedly provided with folding rods, one end of each folding rod, far away from the acquisition box, is fixedly provided with an image acquisition unit, and the top of the inner wall of the acquisition box is fixedly provided with a scanning light supplement module.
(III) advantageous effects
The invention provides a three-dimensional digital image acquisition method and equipment. Compared with the prior art, the method has the following beneficial effects:
(1) the three-dimensional digital image acquisition method and the equipment thereof specifically comprise the following steps: s1, firstly, logging in through a user operation execution module in a user interaction terminal, then placing a cultural relic to be scanned and image-collected on an object stage, then starting a rotating mechanism in the object stage to rotate the cultural relic, then carrying out image collection on the cultural relic on the object stage by an image data collection unit, controlling a shooting time timing module to carry out timing processing by a central processing module during each collection, S2, carrying out image collection on the cultural relic by a camera shooting module, then carrying out coding processing on collected image data by an image data coding module, carrying out sequencing processing according to the coded data by an image data sequencing module, then carrying out sorting by an image data sorting module, transmitting the sorted image data into the central processing module to be processed, S3, and simultaneously controlling a virtual coordinate system creation module in the scanning image processing unit to create a virtual three-dimensional coordinate system by taking the object stage as an origin of coordinates, then inputting the coordinate data of the calibrated camera into the system through a shooting point coordinate input module, then scanning and extracting the coordinates of each feature point of the cultural relic on the objective table through an object coordinate extraction module, S4, a central processing module controls an image identification module in an image data identification unit to identify the acquired image data in a one-to-one correspondence manner, then extracting RGB gray value pixel points in the image through an image RGB pixel point extraction module in a data algorithm processing unit, then performing matching analysis processing on each extracted feature point through an image feature point extraction matching module, then performing overlapping processing on the repeatedly extracted feature points through a repeated feature point matching module, then constructing a cultural relic appearance image relation graph through a relation graph construction module, and S5, the central processing module when analyzing the constructed cultural relic appearance image relation graph, if the surface defect or the texture is unclear, the central processing module controls a virtual feature point creating module in the image three-dimensional reconstruction unit to create a virtual feature point according to the feature of the defect part or the feature which is not identified by the texture, S6, and finally, the central processing module refers the processing result through a display module in the user interaction terminal, or the central processing module wirelessly transmits the acquired image data and the processed data to the cloud monitoring terminal through the wireless communication module, so that the virtual reconstruction of the cultural relic can be realized, the aims of not only finishing the three-dimensional acquisition of the image but also performing the three-dimensional reconstruction of the partially damaged and incomplete cultural relic can be well fulfilled, the acquisition of the finished image can be realized, the three-dimensional image acquisition and creation of the cultural relic of which some parts are incomplete or the texture of which is partially damaged can be performed, and the application function of the three-dimensional image acquisition technology is greatly enriched, thereby greatly facilitating the use of cultural relic research and protection workers.
(2) The three-dimensional digital image acquisition method and the three-dimensional digital image acquisition equipment comprise a bottom plate and an acquisition box fixedly mounted on the bottom plate, an objective table is fixedly mounted at the bottom of the inner wall of the acquisition box through a mounting block, folding rods are fixedly mounted on two sides of the inner wall of the acquisition box, an image acquisition unit is fixedly mounted at one end, far away from the acquisition box, of each folding rod, and a scanning light compensation module is fixedly mounted at the top of the inner wall of the acquisition box.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is a schematic block diagram of the structure of an image data acquisition unit according to the present invention;
FIG. 3 is a schematic block diagram of a scan image processing unit according to the present invention;
FIG. 4 is a schematic block diagram of the structure of the image three-dimensional reconstruction unit according to the present invention;
fig. 5 is a schematic structural view of the collecting apparatus of the present invention.
In the figure, 1 a bottom plate, 2 a collection box, 3 an object stage and 4 folding rods.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-5, an embodiment of the present invention provides a technical solution: a three-dimensional digital image acquisition method specifically comprises the following steps:
s1, firstly, logging in through a user operation execution module in a user interaction terminal, then placing a cultural relic to be scanned and image-collected on an objective table, then starting a rotating mechanism in the objective table to rotate the cultural relic, then carrying out image collection on the cultural relic on the objective table by an image data collection unit, controlling a shooting time timing module to carry out timing processing by a central processing module during each collection, wherein the user interaction terminal comprises a user operation execution module, an image data collection unit and a display module, and the output end of the user operation execution module is respectively connected with the input ends of the image data collection unit and the display module;
s2, the cultural relics are subjected to image acquisition through the camera shooting module, then the acquired image data are subjected to encoding processing through the image data encoding module, then the image data are sequenced according to the encoded data through the image data sequencing module, then the image data are sequenced through the image data sequencing module, the sequenced image data are transmitted into the central processing module to be processed, the image data acquisition unit comprises the camera shooting module, the image data encoding module, the image data sequencing module and the image data sequencing module, the output end of the camera shooting module is connected with the input end of the image data encoding module, the output end of the image data encoding module is connected with the input end of the image data sequencing module, and the output end of the image data sequencing module is connected with the input end of the image data sequencing module;
s3, the central processing module controls a virtual coordinate system creating module in the scanning image processing unit to create a virtual three-dimensional coordinate system with the objective table as the coordinate origin, then the coordinate data of the calibrated camera is input into the system through a shooting point coordinate input module, then the coordinates of each characteristic point of the cultural relic on the objective table are scanned and extracted through an object coordinate extraction module, when the scanning speed needs to be adjusted, the rotating speed of a rotating mechanism in the objective table is controlled through a scanning speed adjusting module, when the light supplementing processing needs to be performed, the light supplementing lamp is controlled through the scanning light supplementing module to perform light supplementing processing, and the scanning image processing unit comprises a virtual coordinate system creating module, an object coordinate extraction module, a scanning speed adjusting module and a scanning light supplementing module;
s4, the central processing module controls an image recognition module in the image data recognition unit to recognize the collected image data in a one-to-one correspondence mode, then an image RGB pixel extraction module in the data algorithm processing unit extracts RGB gray value pixels in the image, then an image feature point extraction matching module performs matching analysis processing on the extracted feature points, then a repeated feature point matching module performs overlapping processing on the repeatedly extracted feature points, then a relation graph of the cultural relic appearance image is constructed through the relation graph construction module, the image data recognition unit consists of N image recognition modules, and the data algorithm processing unit comprises an image RGB pixel extraction module, an image feature point extraction matching module, a repeated feature point matching module and a relation graph construction module;
s5, when the central processing module analyzes the constructed historical relic appearance image relation graph, if the surface defect or the texture is not clear, the central processing module controls a virtual feature point creating module in an image three-dimensional reconstruction unit to create a virtual feature point according to the feature of the defect part or the feature which is not identified by the texture, then a depth value algorithm processing module is used for carrying out depth algorithm processing on the feature of the entity part and the created feature point, then an adjacent matrix calculation module is used for constructing the defect part feature by using a vector matrix algorithm, and the image three-dimensional reconstruction unit comprises a virtual feature point creating module, a depth value algorithm processing module and a vector matrix calculation module;
and S6, finally, processing results are consulted through a display module in the user interaction terminal, or the central processing module wirelessly transmits the acquired image data and the processed data to the cloud monitoring terminal through the wireless communication module.
The invention also discloses three-dimensional digital image acquisition equipment, which comprises a bottom plate 1 and an acquisition box 2 fixedly installed on the bottom plate 1, wherein the bottom of the inner wall of the acquisition box 2 is fixedly provided with an objective table 3 through an installation block, both sides of the inner wall of the acquisition box 2 are fixedly provided with folding rods 4, one end of each folding rod 4 far away from the acquisition box 2 is fixedly provided with an image acquisition unit, and the top of the inner wall of the acquisition box 2 is fixedly provided with a scanning light supplement module.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A three-dimensional digital image acquisition method is characterized in that: the method specifically comprises the following steps:
s1, firstly, logging in through a user operation execution module in a user interaction terminal, then placing a cultural relic to be scanned and image-collected on an objective table, then starting a rotating mechanism in the objective table to rotate the cultural relic, then carrying out image collection on the cultural relic on the objective table by an image data collection unit, and controlling a shooting time timing module to carry out timing processing by a central processing module during each collection;
s2, collecting images of the cultural relics through the camera shooting module, coding the collected image data through the image data coding module, sequencing the collected image data through the image data sequencing module according to the coded data, then sorting the image data through the image data sorting module, and transmitting the sorted image data into the central processing module for processing;
s3, the central processing module controls a virtual coordinate system creating module in the scanning image processing unit to create a virtual three-dimensional coordinate system by taking the objective table as an original coordinate point, then the coordinate data of the calibrated camera is input into the system through a shooting point coordinate input module, then the coordinates of each characteristic point of the cultural relic on the objective table are scanned and extracted through an object coordinate extraction module, when the scanning speed needs to be adjusted, the rotating speed of a rotating mechanism in the objective table is controlled through a scanning speed adjusting module, and when the light supplement processing needs to be performed, a light supplement lamp is controlled through a scanning light supplement module to perform light supplement processing;
s4, the central processing module controls an image recognition module in the image data recognition unit to recognize the collected image data in a one-to-one correspondence mode, then an image RGB pixel extraction module in the data algorithm processing unit extracts RGB gray value pixels in the image, then an image feature point extraction matching module performs matching analysis processing on each extracted feature point, then a repeated feature point matching module performs overlapping processing on the repeatedly extracted feature points, and then a relation graph construction module constructs a relation graph of the appearance image of the cultural relic;
s5, when the central processing module analyzes the constructed historical relic appearance image relational graph, if the surface defect or the texture is not clear, the central processing module controls a virtual feature point creating module in an image three-dimensional reconstruction unit to create a virtual feature point according to the feature of the defect part or the feature which is not identified by the texture, then the depth value algorithm processing module carries out depth algorithm processing on the feature of the entity part and the created feature point, and then the adjacent matrix calculation module uses a vector matrix algorithm to construct the defect part feature;
and S6, finally, processing results are consulted through a display module in the user interaction terminal, or the central processing module wirelessly transmits the acquired image data and the processed data to the cloud monitoring terminal through the wireless communication module.
2. The method and the device for acquiring the three-dimensional digital image according to the claim 1 are characterized in that: in step S1, the user interaction terminal includes a user operation execution module, an image data acquisition unit, and a display module, and an output end of the user operation execution module is connected to input ends of the image data acquisition unit and the display module, respectively.
3. The method and the device for acquiring the three-dimensional digital image according to the claim 1 are characterized in that: the image data acquisition unit in the step S2 includes a camera shooting module, an image data encoding module, an image data sorting module and an image data sorting module, an output end of the camera shooting module is connected with an input end of the image data encoding module, an output end of the image data encoding module is connected with an input end of the image data sorting module, and an output end of the image data sorting module is connected with an input end of the image data sorting module.
4. The method and the device for acquiring the three-dimensional digital image according to the claim 1 are characterized in that: the scanned image processing unit in step S3 includes a virtual coordinate system creation module, an object coordinate extraction module, a scanning speed adjustment module, and a scanning fill-in light module.
5. The method and the device for acquiring the three-dimensional digital image according to the claim 1 are characterized in that: the image data identification unit in step S4 is composed of N image identification modules.
6. The method and the device for acquiring the three-dimensional digital image according to the claim 1 are characterized in that: the data algorithm processing unit in the step S4 includes an image RGB pixel point extraction module, an image feature point extraction and matching module, a repeated feature point matching module, and a relationship diagram construction module.
7. The method and the device for acquiring the three-dimensional digital image according to the claim 1 are characterized in that: the image three-dimensional reconstruction unit in step S5 includes a virtual feature point creation module, a depth value algorithm processing module, and a vector matrix calculation module.
8. A three-dimensional digitized image acquisition apparatus characterized by: the collecting box comprises a bottom plate (1) and a collecting box body (2) fixedly mounted on the bottom plate (1), wherein an objective table (3) is fixedly mounted at the bottom of the inner wall of the collecting box body (2) through a mounting block, folding rods (4) are fixedly mounted on two sides of the inner wall of the collecting box body (2), an image collecting unit is fixedly mounted at one end, far away from the collecting box body (2), of each folding rod (4), and a scanning light supplementing module is fixedly mounted at the top of the inner wall of the collecting box body (2).
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111597527A (en) * | 2020-07-24 | 2020-08-28 | 江苏荣泽信息科技股份有限公司 | Intelligent contract system based on redis protocol |
CN111640184A (en) * | 2020-06-05 | 2020-09-08 | 上海商汤智能科技有限公司 | Ancient building reproduction method, ancient building reproduction device, electronic equipment and storage medium |
CN111928930A (en) * | 2020-09-27 | 2020-11-13 | 潍坊中振智能装备有限公司 | 3D visual detection system based on structured light imaging |
CN112288849A (en) * | 2020-10-23 | 2021-01-29 | 北京师范大学 | Virtual restoration method for rotating shaft type broken cultural relics |
CN113110121A (en) * | 2021-03-08 | 2021-07-13 | 华朗三维技术(深圳)有限公司 | Industrial automation three-dimensional detection system and method |
WO2022135272A1 (en) * | 2020-12-25 | 2022-06-30 | 花瓣云科技有限公司 | Three-dimensional model reconstruction method, device, and storage medium |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105261064A (en) * | 2015-10-10 | 2016-01-20 | 浙江工业大学 | Three-dimensional cultural relic reconstruction system and three-dimensional cultural relic reconstruction method based on computer stereo vision |
US20170076458A1 (en) * | 2014-05-07 | 2017-03-16 | Areva Np | Device and method for three-dimensional reconstruction of a scene by image analysis |
CN206312239U (en) * | 2016-09-29 | 2017-07-07 | 阜阳师范学院 | A kind of 3-dimensional digital watermarking device |
CN109961505A (en) * | 2019-03-13 | 2019-07-02 | 武汉零点视觉数字科技有限公司 | A kind of ancient times coffin chamber architecture digital reconstructing system |
-
2019
- 2019-11-22 CN CN201911154205.4A patent/CN110874861B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170076458A1 (en) * | 2014-05-07 | 2017-03-16 | Areva Np | Device and method for three-dimensional reconstruction of a scene by image analysis |
CN105261064A (en) * | 2015-10-10 | 2016-01-20 | 浙江工业大学 | Three-dimensional cultural relic reconstruction system and three-dimensional cultural relic reconstruction method based on computer stereo vision |
CN206312239U (en) * | 2016-09-29 | 2017-07-07 | 阜阳师范学院 | A kind of 3-dimensional digital watermarking device |
CN109961505A (en) * | 2019-03-13 | 2019-07-02 | 武汉零点视觉数字科技有限公司 | A kind of ancient times coffin chamber architecture digital reconstructing system |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111640184A (en) * | 2020-06-05 | 2020-09-08 | 上海商汤智能科技有限公司 | Ancient building reproduction method, ancient building reproduction device, electronic equipment and storage medium |
CN111597527A (en) * | 2020-07-24 | 2020-08-28 | 江苏荣泽信息科技股份有限公司 | Intelligent contract system based on redis protocol |
CN111928930A (en) * | 2020-09-27 | 2020-11-13 | 潍坊中振智能装备有限公司 | 3D visual detection system based on structured light imaging |
CN112288849A (en) * | 2020-10-23 | 2021-01-29 | 北京师范大学 | Virtual restoration method for rotating shaft type broken cultural relics |
CN112288849B (en) * | 2020-10-23 | 2023-07-25 | 北京师范大学 | Virtual restoration method for rotating shaft type broken cultural relics |
WO2022135272A1 (en) * | 2020-12-25 | 2022-06-30 | 花瓣云科技有限公司 | Three-dimensional model reconstruction method, device, and storage medium |
CN113110121A (en) * | 2021-03-08 | 2021-07-13 | 华朗三维技术(深圳)有限公司 | Industrial automation three-dimensional detection system and method |
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