CN106023315B - Three-dimensional entity model fine granularity multiresolution stage division in Distributed Virtual Reality System - Google Patents
Three-dimensional entity model fine granularity multiresolution stage division in Distributed Virtual Reality System Download PDFInfo
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Abstract
The present invention relates to the three-dimensional entity model fine granularity multiresolution stage divisions in a kind of Distributed Virtual Reality System, the following steps are included: S1, three-dimensional entity model to be resolved into the feature set of fine granulation, and according to the dependence and the constraint relationship between feature, characteristics tree is generated;S2, the practical geometry effect according to each feature are realized by Boolean calculation and are reset by granularity three-dimensional entity model feature of single feature geometry effect;S3, according to feature reset as a result, according to each feature geometries effect be level carry out multi-resolution models collection generation;S4, the demand shown according to scene or the distribution that multi-resolution models are carried out according to the security level of access user.The present invention can guarantee in the environment of distributed emulation, network load be reduced according to the data volume difference of different resolution, while this method can protect certain sensitive informations of model by providing the model of different level of detail.
Description
Technical field
The present invention relates to virtual reality systems, more specifically to the three-dimensional in a kind of Distributed Virtual Reality System
Physical model fine granularity multiresolution stage division.
Background technique
Two outstanding problems in existing Simple Distributed Virtual Reality Environment: (1) physical model data volume is excessive, in network
Cause module scheduling difficult when load excessive, the problem of real-time effect difference;(2) it is directed under Simple Distributed Virtual Reality Environment, net
The safety issue of network data transmission.
Summary of the invention
The technical problem to be solved in the present invention is that providing the three-dimensional entity model in a kind of Distributed Virtual Reality System
Fine granularity multiresolution stage division, overcoming in existing distributing emulation system leads to reality since model data amount is excessive
The safety protection problem of model sensitive information in the problem of inefficiency and distributed emulation.
The technical solution adopted by the present invention to solve the technical problems is: constructing in a kind of Distributed Virtual Reality System
Three-dimensional entity model fine granularity multiresolution stage division, comprising the following steps:
S1, the feature set that three-dimensional entity model is resolved into fine granulation, and according to the dependence and the constraint relationship between feature,
Generate characteristics tree;
S2, the practical geometry effect according to each feature, are realized by Boolean calculation using single feature geometry effect as grain
Three-dimensional entity model feature is spent to reset;
S3, according to feature reset as a result, being that level carries out multi-resolution models collection according to each feature geometries effect
It generates;
S4, the demand shown according to scene or point that multi-resolution models are carried out according to the security level of access user
Match.
In the step S1, three-dimensional entity model is indicated by following formula:
Wherein MnFor model of the n+1 feature after n times add volume or subtract volume Boolean calculation
Structure,To add volume operation (U) or to subtract volume operation (-), and
In the step S2, work as model MnIn j-th of Boolean calculationAlgorithm when being moved to low m position is such as
Under:
Wherein
In the step S4, according to the multi-resolution models generated, the demand based on user will meet the resolution
The feature of rate retains, remaining feature is removed from three-dimensional entity model, multi-resolution models are finally sent to user.
Implement the three-dimensional entity model fine granularity multiresolution stage division in Distributed Virtual Reality System of the invention,
It has the advantages that
For the present invention by carrying out feature difference to three-dimensional entity model, feature, which is reset, realizes three-dimensional with operations such as Boolean calculations
Then the fine granularity multi-resolution models of physical model carry out the distribution of different resolution model according to specific requirements.This side
Method can guarantee in the environment of distributed emulation, network load be reduced according to the data volume difference of different resolution, simultaneously
This method can protect certain sensitive informations of model by providing the model of different level of detail.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is initial three-dimensional entity model;
Fig. 2 is the decomposition and characteristics tree of three-dimensional entity model;
Fig. 3 is that fine granularity feature is reset and fine granularity multiresolution physical model generates.
Specific embodiment
For a clearer understanding of the technical characteristics, objects and effects of the present invention, now control attached drawing is described in detail
A specific embodiment of the invention.
Three-dimensional entity model fine granularity multiresolution stage division in Distributed Virtual Reality System of the invention, including
Following steps:
S1, the feature set that three-dimensional entity model is resolved into fine granulation, and according to the dependence and the constraint relationship between feature,
Generate characteristics tree.It is the Boolean calculation sequence for being converted into one group of feature, formula that three-dimensional entity model, which is decomposed, are as follows:
Wherein MnThe model knot for being n+1 feature after n times add volume or subtract volume Boolean calculation
Structure,To add volume operation (U) or to subtract volume operation (-), and
S2, the practical geometry effect according to each feature, are realized by Boolean calculation using single feature geometry effect as grain
Three-dimensional entity model feature is spent to reset.The present embodiment propose it is a kind of guarantee three-dimensional entity model be always manifold feature exchange
Algorithm, specifically:
Work as model MnIn j-th of Boolean calculationAlgorithm when being moved to low m position is as follows:
Wherein
S3, according to feature reset as a result, being that level carries out multi-resolution models collection according to each feature geometries effect
It generates;
S4, the demand shown according to scene or point that multi-resolution models are carried out according to the security level of access user
Match.Specifically: according to the multi-resolution models generated, the demand based on user, the model resolution needed should by meeting
The feature of resolution ratio retains, remaining feature is removed from three-dimensional entity model, multi-resolution models are finally sent to user.
Below in conjunction with drawings and examples, the present invention is described in further detail.
As shown in Figure 1, this is the example of a three-dimensional entity model
As shown in Fig. 2, initial three-dimensional entity model is broken down into five features of v0, v1, v2, v3, v4, and this this
The characteristics tree of five features after the decomposition of three-dimensional entity model as shown, be wherein expressed as
As shown in figure 3, the feature of three-dimensional entity model is reset in order to meet user's needs, the result after rearrangement is
The operational formula correspondence of V0, V2, V1, V4, V3, rearrangement are as follows:
The multi-resolution models of generation are as shown in figure 3, generate altogether five resolution models of LOD0-LOD5.
According to the demand of user, five corresponding resolution models are sent to corresponding user respectively.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited to above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form, all of these belong to the protection of the present invention.
Claims (4)
1. the three-dimensional entity model fine granularity multiresolution stage division in a kind of Distributed Virtual Reality System, feature exist
In, comprising the following steps:
S1, the feature set that three-dimensional entity model is resolved into fine granulation, and according to the dependence and the constraint relationship between feature, it generates
Characteristics tree;
S2, the practical geometry effect according to each feature, are realized by Boolean calculation using single feature geometry effect as granularity three
Physical model feature is tieed up to reset;
S3, according to feature reset as a result, according to each feature geometries effect be level carry out multi-resolution models collection generation;
S4, the demand shown according to scene or the distribution that multi-resolution models are carried out according to the security level of access user.
2. the three-dimensional entity model fine granularity multiresolution in Distributed Virtual Reality System according to claim 1 is classified
Method, which is characterized in that in the step S1, three-dimensional entity model is indicated by following formula:
Wherein MnFor model structure of the n+1 feature after n times add volume or subtract volume Boolean calculation,To add volume operation (U) or to subtract volume operation (-).
3. the three-dimensional entity model fine granularity multiresolution in Distributed Virtual Reality System according to claim 2 is classified
Method, which is characterized in that in the step S2, work as model MnIn j-th of Boolean calculationWhen being moved to low m position
Algorithm it is as follows:
Wherein
4. the three-dimensional entity model fine granularity multiresolution in Distributed Virtual Reality System according to claim 1 is classified
Method, which is characterized in that in the step S4, according to the multi-resolution models generated, the demand based on user will expire
The feature of the foot resolution ratio retains, remaining feature is removed from three-dimensional entity model, is finally sent to multi-resolution models
User.
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101901287A (en) * | 2010-07-16 | 2010-12-01 | 中国人民解放军信息工程大学 | Geometry and behavior integrated three-dimensional modeling method for spacecraft |
CN102609990A (en) * | 2012-01-05 | 2012-07-25 | 中国海洋大学 | Massive-scene gradually-updating algorithm facing complex three dimensional CAD (Computer-Aided Design) model |
CN103646415A (en) * | 2013-12-24 | 2014-03-19 | 秦皇岛数据产业研究院有限公司 | Dual constraint based selection calling method of LOD (Level of Detail) model in three-dimensional scene |
CN103714095A (en) * | 2012-10-09 | 2014-04-09 | 同济大学 | Multidimensional profile calculation data processing method being oriented to fuzzy databases |
CN103914877A (en) * | 2013-01-09 | 2014-07-09 | 南京理工大学 | Three-dimensional model multi-detail-level structure based on extension combination |
CN103942306A (en) * | 2014-04-18 | 2014-07-23 | 重庆市勘测院 | Three-dimensional city model self-adaption scheduling method |
CN104658041A (en) * | 2015-02-12 | 2015-05-27 | 中国人民解放军装甲兵工程学院 | Dynamic scheduling method for entity models in distributed three-dimensional virtual environment |
-
2016
- 2016-05-10 CN CN201610303437.1A patent/CN106023315B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101901287A (en) * | 2010-07-16 | 2010-12-01 | 中国人民解放军信息工程大学 | Geometry and behavior integrated three-dimensional modeling method for spacecraft |
CN102609990A (en) * | 2012-01-05 | 2012-07-25 | 中国海洋大学 | Massive-scene gradually-updating algorithm facing complex three dimensional CAD (Computer-Aided Design) model |
CN103714095A (en) * | 2012-10-09 | 2014-04-09 | 同济大学 | Multidimensional profile calculation data processing method being oriented to fuzzy databases |
CN103914877A (en) * | 2013-01-09 | 2014-07-09 | 南京理工大学 | Three-dimensional model multi-detail-level structure based on extension combination |
CN103646415A (en) * | 2013-12-24 | 2014-03-19 | 秦皇岛数据产业研究院有限公司 | Dual constraint based selection calling method of LOD (Level of Detail) model in three-dimensional scene |
CN103942306A (en) * | 2014-04-18 | 2014-07-23 | 重庆市勘测院 | Three-dimensional city model self-adaption scheduling method |
CN104658041A (en) * | 2015-02-12 | 2015-05-27 | 中国人民解放军装甲兵工程学院 | Dynamic scheduling method for entity models in distributed three-dimensional virtual environment |
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