CN114049431A - Efficient network transmission method for cultural relic three-dimensional model remote rendering data - Google Patents
Efficient network transmission method for cultural relic three-dimensional model remote rendering data Download PDFInfo
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- CN114049431A CN114049431A CN202111279879.4A CN202111279879A CN114049431A CN 114049431 A CN114049431 A CN 114049431A CN 202111279879 A CN202111279879 A CN 202111279879A CN 114049431 A CN114049431 A CN 114049431A
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Abstract
The invention discloses a cultural relic three-dimensional model remote rendering data efficient network transmission method, and relates to the technical field of cultural relic model processing. The invention comprises the following steps: step 1: carrying out multi-detail level simplification preprocessing on the cultural relic three-dimensional model data; step 2: establishing a standard framework of a multi-layer cultural relic three-dimensional model; step 3: carrying out serialization operation or data reconstruction on the cultural relic three-dimensional model data subjected to network transmission; step 4: storing and position marking the serialized or reconstructed cultural relic three-dimensional model data; step 5: importing new three-dimensional model data of the cultural relics, and matching the data with stored data in a database; step 6: identifying the associated data, and performing direct transmission of the cultural relic three-dimensional model remote rendering data based on the high-efficiency network; step 7: the operation is completed. The invention establishes a standard framework of a multi-level cultural relic three-dimensional model based on a discrete multi-detail level rendering, dividing and compressing method, and performs data matching and efficient network transmission of data after correlation.
Description
Technical Field
The invention relates to the technical field of cultural relic model processing, in particular to a cultural relic three-dimensional model remote rendering data efficient network transmission method.
Background
In recent years, a three-dimensional scanning technology gradually replaces a traditional method by virtue of the advantages of no contact, quick scanning, high precision and the like, is easily applied to the field of cultural relic research, cannot be easily touched due to the rare of the cultural relic, and has the characteristic of no contact, so that the three-dimensional scanning technology is supported by overwhelming in the aspect of cultural relic protection;
the data network transmission of the prior three-dimensional model of the cultural relic is not efficient enough during remote operation rendering, and a matching channel of a data standard mechanism cannot be established due to insufficient completion degree of data processing, so that certain limitation exists; therefore, a cultural relic three-dimensional model remote rendering data efficient network transmission method is provided.
Disclosure of Invention
The invention aims to provide a cultural relic three-dimensional model remote rendering data efficient network transmission method to solve the problems in the background.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a cultural relic three-dimensional model remote rendering data efficient network transmission method, which comprises the following steps:
step 1: carrying out multi-detail level simplification preprocessing on the cultural relic three-dimensional model data, and respectively setting a high-detail level three-dimensional model, a normal-detail level three-dimensional model and a low-detail level three-dimensional model;
step 2: establishing a standard framework of a multi-level cultural relic three-dimensional model according to the three-dimensional model data of the levels;
step 3: carrying out serialization operation or data reconstruction on the cultural relic three-dimensional model data subjected to network transmission;
step 4: based on a database, storing the serialized or reconstructed cultural relic three-dimensional model data, and carrying out position marking;
step 5: when new three-dimensional model data of the cultural relics are imported, the data are matched with the stored data in the database by using a computer;
step 6: identifying the associated data, and performing direct transmission of the cultural relic three-dimensional model remote rendering data based on the high-efficiency network;
step 7: the operation is completed.
Preferably, the Step1 performs multi-level-of-detail simplification preprocessing on the three-dimensional model data of the cultural relic, and gradually simplifies the three-dimensional original model of the cultural relic, so that the finest original data forms texture data related to the simplified model after multi-level compression.
Preferably, a standard framework of a multi-level cultural relic three-dimensional model is established in Step2, and a K-Dtree space subdivision algorithm is adopted to perform spatial hierarchy division of the cultural relic three-dimensional model based on a computer operation terminal to form a spatial index.
Preferably, the Step3 performs serialization operation or data reconstruction, specifically serializes the three-dimensional model data information of the cultural relic into a byte stream form, and selects to reconstruct the three-dimensional model data of the cultural relic according to the received byte stream.
Preferably, the storage of the three-dimensional model data of the object in Step4 is based on a computer terminal, the computer comprises a computer memory, the computer memory is connected with the database in a communication mode, and the computer further comprises a data signal input end and a signal data output end.
Preferably, the position of the serialized or reconstructed cultural relic three-dimensional model is marked in Step4, wherein the marking rules are model data import time, import content size and import data type.
Preferably, in Step5, the computer is used to perform matching with the stored data in the database, specifically, the new three-dimensional model data of the cultural relic is compared with the stored data in the database for similarity, wherein the stored data in the database is used as a standard model for data comparison, and the comparison contents are the same data.
Preferably, Step6 is based on a computer processing terminal and a visualization terminal, and performs direct data transmission of the compared same data through an efficient network, and includes an identification analysis module and a communication module, wherein the identification analysis module is electrically connected with the communication module; and the visualization terminal converts the three-dimensional depth map into three-dimensional point cloud data and then carries out visualization processing on the point cloud data.
The invention has the following beneficial effects:
the invention relates to a high-efficiency network transmission method for remote rendering data of a three-dimensional model of a cultural relic, which is based on a discrete multi-detail-level rendering, dividing and compressing method, establishes a standard framework of a multi-level three-dimensional model of the cultural relic, and performs data matching and high-efficiency network transmission of the data after association, thereby improving the data processing efficiency and adaptability.
The efficient network transmission method for the remote rendering data of the three-dimensional model of the cultural relic is based on a big data processing terminal to perform operation processing, and is simple and convenient to operate, low in operation cost, high in operation efficiency and high in popularization value.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used 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 invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the efficient network transmission method for remote rendering data of a three-dimensional model of a cultural relic.
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.
Please refer to fig. 1: the invention relates to a cultural relic three-dimensional model remote rendering data efficient network transmission method, which comprises the following steps:
step 1: carrying out multi-detail level simplification preprocessing on the cultural relic three-dimensional model data, and respectively setting a high-detail level three-dimensional model, a normal-detail level three-dimensional model and a low-detail level three-dimensional model; the three-dimensional original model of the cultural relic is gradually simplified, and the finest original data is compressed in multiple stages to form texture data related to the simplified model;
step 2: establishing a standard framework of a multi-level cultural relic three-dimensional model according to the three-dimensional model data of the levels; based on a computer operation terminal, adopting a K-Dtree space subdivision algorithm to perform space level division on the cultural relic three-dimensional model to form a space index;
step 3: carrying out serialization operation or data reconstruction on the cultural relic three-dimensional model data subjected to network transmission; specifically, the cultural relic three-dimensional model data information is serialized into a byte stream form, and the cultural relic three-dimensional model data is selected to be reconstructed according to the received byte stream;
step 4: based on a database, storing the serialized or reconstructed cultural relic three-dimensional model data, and carrying out position marking; the cultural relic three-dimensional model data storage is based on a computer terminal, the computer comprises a computer memory, the computer memory is in communication connection with the database, and the computer further comprises a data signal input end and a signal data output end;
step 5: when new three-dimensional model data of the cultural relics are imported, the data are matched with the stored data in the database by using a computer; the similarity comparison is carried out on the new three-dimensional model data of the cultural relic and the stored data in the database, wherein the stored data in the database is used as a standard model for data comparison, and the comparison contents are the same data;
step 6: identifying the associated data, and performing direct transmission of the cultural relic three-dimensional model remote rendering data based on the high-efficiency network; based on the computer processing terminal and the visual terminal, the compared same data is directly transmitted by the high-efficiency network, and the data transmission system comprises an identification analysis module and a communication module, wherein the identification analysis module is electrically connected with the communication module;
step 7: the operation is completed.
In the invention, k-dtree is a binary tree with each node being a k-dimensional numerical value point, each node on the binary tree represents a hyperplane, the hyperplane is perpendicular to a coordinate axis of a current division dimension, and a space is divided into two parts on the dimension, one part is in a left sub-tree and the other part is in a right sub-tree, namely if the division dimension of the current node is d, coordinate values of all points on the left sub-tree in the d dimension are all smaller than a current value, coordinate values of all points on the right sub-tree in the d dimension are all larger than or equal to the current value, and the definition holds true for any child node;
the distances from all leaf nodes to a root node of a balanced k-dtree are approximately equal, but the balanced k-dtree is not optimal for application scenes such as nearest neighbor search, space search and the like; the k-dtree is constructed by the following steps: circularly and sequentially taking each dimension of the data points as a segmentation dimension, taking a median of the data points in the dimension as a segmentation hyperplane, hanging the data points on the left side of the median in a left sub-tree of the data points, hanging the data points on the right side of the median in a right sub-tree of the data points, and recursively processing the sub-trees until all the data points are completely hung; the method comprises the steps of firstly, selecting and optimizing segmentation dimensions, comparing the distribution condition of data points in each dimension before construction, wherein the larger the variance of the data points in a certain dimension coordinate value is, the more dispersed the data points are, the smaller the variance is, the more concentrated the data points are, and the segmentation can be carried out from the dimension with the larger variance to obtain good segmentation effect and balance; secondly, selecting and optimizing a median, specifically comprising the steps of firstly, sorting and storing original data points in all dimensions once before algorithm starts, and then sorting subsets in subsequent median selection without sorting every time, so that the performance is improved; second, a fixed number of points are randomly selected from the original data points and then sorted, and the median value is taken from these sample points each time as a segmentation hyperplane, which has proven to achieve good performance and good balance in practice.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. A cultural relic three-dimensional model remote rendering data efficient network transmission method is characterized by comprising the following steps:
step 1: carrying out multi-detail level simplification preprocessing on the cultural relic three-dimensional model data, and respectively setting a high-detail level three-dimensional model, a normal-detail level three-dimensional model and a low-detail level three-dimensional model;
step 2: establishing a standard framework of a multi-level cultural relic three-dimensional model according to the three-dimensional model data of the levels;
step 3: carrying out serialization operation or data reconstruction on the cultural relic three-dimensional model data subjected to network transmission;
step 4: based on a database, storing the serialized or reconstructed cultural relic three-dimensional model data, and carrying out position marking;
step 5: when new three-dimensional model data of the cultural relics are imported, the data are matched with the stored data in the database by using a computer;
step 6: identifying the associated data, and performing direct transmission of the cultural relic three-dimensional model remote rendering data based on the high-efficiency network;
step 7: the operation is completed.
2. The method as claimed in claim 1, wherein Step1 is implemented by performing a multi-level simplification preprocessing on the three-dimensional model data of the cultural relic, and the method is implemented by performing a Step simplification on the three-dimensional original model of the cultural relic to form texture data related to the simplified model from the finest original data through multi-level compression.
3. The method for efficient network transmission of remote rendering data of a three-dimensional model of a cultural relic according to claim 1, wherein a standard architecture of a multi-level three-dimensional model of the cultural relic is established in Step2, and a K-D tree space partitioning algorithm is adopted based on a computer operation terminal to perform spatial hierarchy partitioning of the three-dimensional model of the cultural relic to form a spatial index.
4. The method as claimed in claim 1, wherein the Step3 performs serialization operation or data reconstruction, specifically serializes information of the three-dimensional model of the cultural relic into a byte stream, and selects to reconstruct the three-dimensional model data of the cultural relic according to parsing of the received byte stream.
5. The method of claim 1, wherein the Step4 is characterized in that the data storage of the three-dimensional model of the cultural relic is based on a computer terminal, the computer comprises a computer memory, the computer memory is connected with a database in a communication way, and the computer further comprises a data signal input end and a signal data output end.
6. The method for efficient network transmission of remote rendering data of a three-dimensional model of a cultural relic according to claim 1, wherein the serialized or reconstructed three-dimensional model of the cultural relic is position-labeled in Step4, wherein the labeling rules are model data import time, import content size and import data category.
7. The method as claimed in claim 1, wherein Step5, the method comprises matching the stored data in the database with the new three-dimensional model data of the cultural relic by using a computer, and comparing the similarity between the new three-dimensional model data of the cultural relic and the stored data in the database, wherein the stored data in the database is used as the standard model of the data comparison, and the comparison contents are the same data.
8. The method for efficiently transmitting the data through the network for remotely rendering the three-dimensional model of the cultural relic according to the claim 7, wherein the Step6 is used for directly transmitting the compared same data through the network based on a computer processing terminal and a visualization terminal, and comprises an identification analysis module and a communication module, wherein the identification analysis module is electrically connected with the communication module.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116630552A (en) * | 2023-07-26 | 2023-08-22 | 北京中科辅龙智能技术有限公司 | Optimized rendering method for large-scale three-dimensional process factory model |
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| CN116630552A (en) * | 2023-07-26 | 2023-08-22 | 北京中科辅龙智能技术有限公司 | Optimized rendering method for large-scale three-dimensional process factory model |
| CN116630552B (en) * | 2023-07-26 | 2023-11-07 | 北京中科辅龙智能技术有限公司 | Optimized rendering method for large-scale three-dimensional process factory model |
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