CN103699898A - Curved surface characteristic identification method based on characteristic line and topological relation - Google Patents
Curved surface characteristic identification method based on characteristic line and topological relation Download PDFInfo
- Publication number
- CN103699898A CN103699898A CN201310712171.2A CN201310712171A CN103699898A CN 103699898 A CN103699898 A CN 103699898A CN 201310712171 A CN201310712171 A CN 201310712171A CN 103699898 A CN103699898 A CN 103699898A
- Authority
- CN
- China
- Prior art keywords
- curved surface
- curvature
- characteristic
- line
- territory
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Processing Or Creating Images (AREA)
Abstract
The invention discloses a curved surface characteristic identification method based on a characteristic line and a topological relation. According to the method, the curved surface type is judged from the characteristic line, a curvature area concave and convex area and the topological position relation. The method comprises the following steps: firstly, identifying a curved surface area characteristic line comprising a boundary line and an internal key characteristic line; secondly, analyzing the curvature characteristic of the curved surface area, and dividing the curved surface area into curvature area curved surface diagrams; thirdly, obtaining the characteristic line between the concave and convex areas; and finally, constructing the topological relation of the characteristic line and the curvature area curved surface, and identifying the curved surface characteristic type with a rule-based method and an evolutionary algorithm. The method is mainly characterized in that the characteristic main class is judged from the concavity and convexity in the boundary line and the curved surface, the corresponding shape characteristic is identified from the characteristic line and the topological position, and therefore the difficulty due to identification completely from the geometrical shape is avoided. The invention is applied to the free curved surface characteristic identification of a CAD (computer-aided design) model, the characteristic conversion of a product model and the design requirement on the appearance can be satisfied, and effective information support is provided for the applications, such as downstream analysis processing.
Description
Technical field
The invention belongs to field of computer aided design, the definition, the parametrization that particularly relate to the curved surface features in feature technology represent and curved surface features identification.
Background technology
The research of feature technology is goed deep into, by rule feature, to curved surface features, is shifted to complex characteristic by simple feature just gradually, but curved surface features technology is still in the primary stage, still has many problem demanding prompt solutions.In surface model, aspect design feature identification, because free form surface feature complexity is various and have too many degree of freedom, be difficult to carry out easily feature identification as rule feature.A large amount of surface models in view of existing, by utilizing characteristic curve information and topological relation thereof in curved surface features, carry out automatic feature recognition to surface model, and generating feature model, for the application such as analysis processing in design field downstream provide effective information support.
Curved surface features technology in last century the nineties just cause scholars' concern, and curved surface features identification is the important basic work from surface geometry model conversion to characteristic model.Yet so far, feature identification technique be still in rule feature identification and a small amount of simple free form surface feature identification upper, these recognition methodss are difficult to expand to and have general free form surface feature and identify.In curved surface features identifying, because curved surface features shape is varied, be difficult to only by limited surface geometry form fit target curved surface.
Summary of the invention
The object of the present invention is to provide a kind of curved surface features kind identification method based on characteristic curve and topological relation, avoided the difficulty of identifying from geometric configuration completely.
The technical solution used in the present invention is:
Curved surface features kind identification method based on characteristic curve and topological relation, is characterized in that: according to existing region, divide, first identify the characteristic curve of curved surface area, comprise boundary line and inner key feature line; Secondly, according to the curvature characteristic of curved surface area, curved surface area is cut apart and formed curvature territory figure; Then, in the relief region of curvature territory figure, obtain internal feature line; Finally, the topological relation of construction feature line and curvature territory curved surface, and rule-based method identification curved surface features type, recycling evolution algorithm identification curved surface features.
First, the characteristic curve of identification curved surface area, comprises the following steps:
Step S01: obtain the boundary characteristic line of curved surface area, boundary characteristic line has the characteristic of closure, and boundary line is comprised of one or more curve;
Step S02: differentiate the global shape in enclosed edge boundary line, according to the shape of boundary line and syndeton thereof, the global shape of decision boundary line;
Step S03: obtain curved surface internal feature line, change and obtain inner key feature line according to curved surface area intrinsic curvature;
Wherein, the shape recognition of the boundary line in step S02, comprises the following steps:
Step P01: obtain unique point and attribute thereof on characteristic curve;
Step P02: utilize evolution algorithm recognition feature line type and shape;
Step P03: on the boundary line of sealing, high-level semantic parameter is set.
Secondly, according to the curvature characteristic of curved surface area, curved surface area is divided into curvature territory figure, comprises the following steps:
Step S04: curvature territory span is first set, and the local continuous curved surface that the curvature points using curvature value within the scope of this forms is as a curvature territory;
Step S05: curved surface area generates behind a plurality of curvature territory, take curvature territory as node, adjacent edge are arc, forms curvature territory figure;
Then, in the relief region of curvature territory figure, obtain internal feature line, comprise the following steps:
Step S06: first set curvature change threshold, obtaining of inner key feature line is to change in the position that is greater than threshold value and extract skeleton line in curved surface area mean curvature;
Step S07: utilize adjacent limit in the figure of curvature territory, extract inner key feature line;
Finally, the topological relation of construction feature line and curvature territory curved surface, and rule-based method identification curved surface features type, comprise the following steps:
Step S08: according to the position relationship in curvature territory, build its topological structure, differentiate the affiliated large class of curved surface features;
Step S09: according to position and the topological relation of boundary line and internal feature line, further differentiate the type of curved surface features;
Step S10: utilize evolution algorithm by the corresponding templates instantiation in feature database, and mate one by one curved surface features, reach form fit.
Described boundary characteristic line refers to outermost closing line in curved surface, and curved surface closing line forms by one mostly, but also may form by 0 or many.
The global shape in described enclosed edge boundary line refers to the shape that surface boundary outer side edges boundary line forms, and it is comprised of one or more curve.
Described curved surface internal feature line refers in curved surface to have the curve that remarkable characteristic point connects into, and characteristic curve has formed the overall profile of curved surface.
Described curvature territory refers to the regional area that in curved surface, curvature points continuous, that have similar curvature value forms, and a curved surface can be comprised of a plurality of curvature territory.
Described curvature territory figure refers to the graph structure that generates after the complete curvature of a curved surface area territoryization, and neighbouring relations represent with limit or arc, and each sub-block curved surface represents with node.
Described topological structure refers to the position relationship between local surface patch, comprises adjacent, separated and interior bag.
Described evolution algorithm identification is that selection, intersection, the mutation operation by form parameter realized shape recognition, and concrete steps are:
Step q01: form parameter t is set as the gene in evolution algorithm, as the curve form generating, form fit situation is as fitness by function corresponding to parameter value;
Step q02: the circular formwork in initialization feature storehouse, first given circular formwork form parameter initial value t=0, generates initial population P (0), and obtains original shape;
Step q03: calculate individual evaluation, calculate the fitness of corresponding parameter in colony;
Step q04: Selecting operation, selection operator is acted on to colony, its objective is an individuality of optimizing to be genetic directly to the next generation or to intersect the new individuality of generation by pairing to be genetic to the next generation, this operation is to be based upon the fitness of individual in population to assess on basis again;
Step q05: crossing operation, crossover operator is acted on to colony, so-called intersection refers to is replaced the part-structure of two parent individualities restructuring and is generated new individual process, in genetic algorithm, plays the role of a nucleus;
Step q06: variation computing, mutation operator is acted on to colony, exactly the genic value on some locus of the individuality string in colony is changed, colony is through obtaining colony of future generation after the computing of selecting, intersect, make a variation;
Step q07: end condition judgement: fitness threshold value is first set, when the match condition of shape is fitness while reaching threshold value, corresponding form parameter is T, if t=T, using and resultingly in evolutionary process there is maximum adaptation degree individuality and export as optimum solution, stop calculating.
The beneficial effect that the present invention reaches:
Invention has provided a kind of curved surface features kind identification method based on characteristic curve and topological relation, and the method is judged curved surface type from characteristic curve, curvature territory relief region and topology location relation thereof.The principal feature of the method is from the large class of convexity-concavity identification feature in boundary line and curved surface, from characteristic curve and shape facility corresponding to topology location relation recognition, has avoided the difficulty of identifying from geometric configuration completely.This invention is applied to, in the free form surface feature identification of cad model, can meet the Feature Conversion of product model and the design needs in profile, and provides effective information support for the application such as analysis processing in downstream.
Accompanying drawing explanation
Fig. 1 is the groundwork flow process of a kind of curved surface features kind identification method based on characteristic curve and topological relation in the present invention, is mainly included in characteristic curve identification, curvature territory figure structure, characteristic curve and the topological structure of curvature territory mean camber and the identification of the curved surface features of rule-based method and evolution algorithm in curved surface area;
Fig. 2 utilizes evolution algorithm recognition feature line type in the present invention.First, by giving different parameters value to feature templates in feature database, produce lot of examples feature; Mate again, obtain the most similar instantiation feature, reach thus the final characteristic type of determining;
Fig. 3 utilizes evolution algorithm identification line feature, face feature in the present invention.Definite characteristic type, using parameter as genetic unit, after selecting, intersect, making a variation, is finally obtained to parameter value, realize coupling;
Fig. 4 utilizes curved surface features recognition methods to realize the example of the conversion from surface geometry model to character modules in the present invention, first ruled surface in surface geometry model is identified, again free form surface feature is identified, last, identified feature is reassembled into curved surface features model.
Embodiment
According to accompanying drawing, the invention will be further described below:
As shown in Figure 1, described a kind of curved surface features kind identification method based on characteristic curve and topological relation, is characterized in that: according to existing region, divide, first identify the characteristic curve of curved surface area, comprise boundary line and inner key feature line; Secondly, according to the curvature characteristic of curved surface area, curved surface area is cut apart and formed curvature territory figure; Then, in the relief region of curvature territory figure, obtain internal feature line; Finally, the topological relation of construction feature line and curvature territory curved surface, and by rule-based method and evolution algorithm identification curved surface features type.
First, the characteristic curve of identification curved surface area, comprises the following steps:
Step S01: obtain the boundary characteristic line of curved surface area, boundary characteristic line has the characteristic of closure, and boundary line is comprised of one or more curve;
Step S02: differentiate the global shape in enclosed edge boundary line, according to the shape of boundary line and syndeton thereof, the global shape of decision boundary line;
Step S03: obtain curved surface internal feature line, change and obtain inner key feature line according to curved surface area intrinsic curvature;
Wherein, the shape recognition of the boundary line in step S02, comprises the following steps:
Step P01: obtain unique point and attribute thereof on characteristic curve;
Step P02: utilize evolution algorithm recognition feature line type and shape;
Step P03: on the boundary line of sealing, high-level semantic parameter is set.
Secondly, according to the curvature characteristic of curved surface area, curved surface area is divided into curvature territory figure, comprises the following steps:
Step S04: curvature territory span is first set, and the local continuous curved surface that the curvature points using curvature value within the scope of this forms is as a curvature territory;
Step S05: curved surface area generates behind a plurality of curvature territory, take curvature territory as node, adjacent edge are arc, forms curvature territory figure;
Then, in the relief region of curvature territory figure, obtain internal feature line, comprise the following steps:
Step S06: first set curvature change threshold, obtaining of inner key feature line is to change in the position that is greater than threshold value and extract skeleton line in curved surface area mean curvature;
Step S07: utilize adjacent limit in the figure of curvature territory, extract inner key feature line;
Finally, the topological relation of construction feature line and curvature territory curved surface, and rule-based method and evolution algorithm identification curved surface features type, comprise the following steps:
Step S08: according to the position relationship in curvature territory, build its topological structure, differentiate the affiliated large class of curved surface features;
Step S09: according to position and the topological relation of boundary line and internal feature line, further differentiate the type of curved surface features;
Step S10: utilize evolution algorithm by the corresponding templates instantiation in feature database, and mate one by one curved surface features, reach form fit.
As Fig. 2, described evolution algorithm identification shown in Fig. 3 is that selection, intersection, the mutation operation by form parameter realized shape recognition, and concrete steps are:
Step q01: form parameter t is set as the gene in evolution algorithm, as the curve form generating, form fit situation is as fitness by function corresponding to parameter value;
Step q02: the circular formwork in initialization feature storehouse, first given circular formwork form parameter initial value t=0, generates initial population P (0), and obtains original shape;
Step q03: calculate individual evaluation, calculate the fitness of corresponding parameter in colony;
Step q04: Selecting operation, selection operator is acted on to colony, its objective is an individuality of optimizing to be genetic directly to the next generation or to intersect the new individuality of generation by pairing to be genetic to the next generation, this operation is to be based upon the fitness of individual in population to assess on basis again;
Step q05: crossing operation, crossover operator is acted on to colony, so-called intersection refers to is replaced the part-structure of two parent individualities restructuring and is generated new individual process, in genetic algorithm, plays the role of a nucleus;
Step q06: variation computing, mutation operator is acted on to colony, exactly the genic value on some locus of the individuality string in colony is changed, colony is through obtaining colony of future generation after the computing of selecting, intersect, make a variation;
Step q07: end condition judgement: fitness threshold value is first set, when the match condition of shape is fitness while reaching threshold value, corresponding form parameter is T, if t=T, using and resultingly in evolutionary process there is maximum adaptation degree individuality and export as optimum solution, stop calculating.
As shown in Figure 4, the described curved surface features kind identification method based on characteristic curve and topological relation is realized the example of the conversion from surface geometry model to character modules, first ruled surface in surface geometry model is identified, identify again the characteristic curve in free form surface feature and build topological relation, identify free form surface feature, finally, identified feature is reassembled into curved surface features model.
In sum, by the curved surface features kind identification method based on characteristic curve and topological relation provided by the invention, can judge curved surface type from characteristic curve, curvature territory relief region and topology location relation thereof.First, identification curved surface area characteristic curve, comprises boundary line and inner key feature line; Secondly, the curvature characteristic in analytic surface region, is divided into curvature territory surface chart; Then, at the interregional characteristic curve that obtains of concave-convex curved surface; Finally, the topological structure of construction feature line and curvature territory curved surface, and by rule-based method and evolution algorithm identification curved surface features type.The principal feature of the method is from the large class under the convexity-concavity identification feature in boundary line and curved surface, from characteristic curve and shape facility corresponding to topology location relation recognition, has avoided the difficulty of identifying from geometric configuration completely.This invention is applied to, in the free form surface feature identification of cad model, can meet the Feature Conversion of product model and the design needs in profile, and provides effective information support for the application such as analysis processing in downstream.
Claims (8)
1. the curved surface features kind identification method based on characteristic curve and topological relation, is characterized in that: according to existing region, divide, first identify the characteristic curve of curved surface area, comprise boundary line and inner key feature line; Secondly, according to the curvature characteristic of curved surface area, curved surface area is cut apart and formed curvature territory figure; Then, in the relief region of curvature territory figure, obtain internal feature line; Finally, the topological relation of construction feature line and curvature territory curved surface, and rule-based method identification curved surface features type, recycling evolution algorithm identification curved surface features;
First, the characteristic curve of identification curved surface area, comprises the following steps:
Step S01: obtain the boundary characteristic line of curved surface area, boundary characteristic line has the characteristic of closure, and boundary line is comprised of one or more curve;
Step S02: differentiate the global shape in enclosed edge boundary line, according to the shape of boundary line and syndeton thereof, the global shape of decision boundary line;
Step S03: obtain curved surface internal feature line, change and obtain inner key feature line according to curved surface area intrinsic curvature;
Wherein, the shape recognition of the boundary line in step S02, comprises the following steps:
Step P01: obtain unique point and attribute thereof on characteristic curve;
Step P02: utilize evolution algorithm recognition feature line type and shape;
Step P03: on the boundary line of sealing, high-level semantic parameter is set;
Secondly, according to the curvature characteristic of curved surface area, curved surface area is divided into curvature territory figure, comprises the following steps:
Step S04: curvature territory span is first set, and the local continuous curved surface that the curvature points using curvature value within the scope of this forms is as a curvature territory;
Step S05: curved surface area generates behind a plurality of curvature territory, take curvature territory as node, adjacent edge are arc, forms curvature territory figure;
Then, in the relief region of curvature territory figure, obtain internal feature line, comprise the following steps:
Step S06: first set curvature change threshold, obtaining of inner key feature line is to change in the position that is greater than threshold value and extract skeleton line in curved surface area mean curvature;
Step S07: utilize adjacent limit in the figure of curvature territory, extract inner key feature line;
Finally, the topological relation of construction feature line and curvature territory curved surface, identification curved surface features type, comprises the following steps:
Step S08: according to the position relationship in curvature territory, build its topological structure, differentiate the affiliated large class of curved surface features;
Step S09: according to position and the topological relation of boundary line and internal feature line, further differentiate the type of curved surface features;
Step S10: utilize evolution algorithm by the corresponding templates instantiation in feature database, and mate one by one curved surface features, reach form fit.
2. the curved surface features kind identification method based on characteristic curve and topological relation according to claim 1, is characterized in that: described in step S01, boundary characteristic line is outermost closing line in curved surface.
3. the curved surface features kind identification method based on characteristic curve and topological relation according to claim 1, it is characterized in that: described in step S02, the global shape in enclosed edge boundary line is the shape that surface boundary outer side edges boundary line forms, and it is comprised of one or more curve.
4. the curved surface features kind identification method based on characteristic curve and topological relation according to claim 1, it is characterized in that: described in step S03, curved surface internal feature line is in curved surface, to have the curve that remarkable characteristic point connects into, and characteristic curve has formed the overall profile of curved surface.
5. the curved surface features kind identification method based on characteristic curve and topological relation according to claim 1, is characterized in that: described in step S04, curvature territory is the regional area that in curved surface, curvature points continuous, that have similar curvature value forms.
6. the curved surface features kind identification method based on characteristic curve and topological relation according to claim 1, it is characterized in that: described in step S05, curvature territory figure is by being generated graph structure after the complete curvature of a curved surface area territoryization, neighbouring relations represent with limit or arc, and each sub-block curved surface represents with node.
7. the curved surface features kind identification method based on characteristic curve and topological relation according to claim 1, is characterized in that: described in step S08, topological structure is the position relationship between local surface patch, comprises adjacent, separated and interior bag.
8. the curved surface features kind identification method based on characteristic curve and topological relation according to claim 1, is characterized in that: the identification of step S10 evolution algorithm is that selection, intersection, the mutation operation by form parameter realized shape recognition, and concrete steps are:
Step q01: form parameter is set as the gene in evolution algorithm, as the curve form generating, form fit situation is as fitness by function corresponding to parameter value;
Step q02: the circular formwork in initialization feature storehouse, first given circular formwork form parameter initial value t=0, generates initial population P (0), and obtains original shape;
Step q03: calculate individual evaluation, calculate the fitness of corresponding parameter in colony;
Step q04: Selecting operation, acts on colony by selection operator;
Step q05: crossing operation, acts on colony by crossover operator;
Step q06: variation computing, mutation operator is acted on to colony, colony is through obtaining colony of future generation after the computing of selecting, intersect, make a variation;
Step q07: end condition judgement: fitness threshold value is first set, when the match condition of shape is fitness while reaching threshold value, corresponding form parameter is T, if t=T, using and resultingly in evolutionary process there is maximum adaptation degree individuality and export as optimum solution, stop calculating.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310712171.2A CN103699898B (en) | 2013-12-20 | 2013-12-20 | The curved surface features kind identification method of feature based line and topological relation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310712171.2A CN103699898B (en) | 2013-12-20 | 2013-12-20 | The curved surface features kind identification method of feature based line and topological relation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103699898A true CN103699898A (en) | 2014-04-02 |
| CN103699898B CN103699898B (en) | 2016-08-17 |
Family
ID=50361420
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310712171.2A Active CN103699898B (en) | 2013-12-20 | 2013-12-20 | The curved surface features kind identification method of feature based line and topological relation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103699898B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104615078A (en) * | 2014-11-30 | 2015-05-13 | 沈阳飞机工业（集团）有限公司 | Method for recognizing characteristics of bending side of aircraft sheet metal based on topological adjacent performance |
| CN104778308A (en) * | 2015-03-19 | 2015-07-15 | 上海工仿软件有限公司 | Airplane structure profile identification method and device |
| CN107204002A (en) * | 2016-10-17 | 2017-09-26 | 山东省科学院海洋仪器仪表研究所 | A kind of curved surface automatic identification and curved-surface structure parameter intelligent extracting method based on three-dimensional digital image |
| CN110059760A (en) * | 2019-04-25 | 2019-07-26 | 北京工业大学 | Geometric figure recognition methods based on topological structure and CNN |
| CN110597185A (en) * | 2019-08-30 | 2019-12-20 | 合肥学院 | Complex curved surface part mechanical arm machining system and method based on feature library |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101388118A (en) * | 2008-10-17 | 2009-03-18 | 浙江大学 | Three-dimensional shoe last rebuilding method based on scanning and inputting |
| CN102831283A (en) * | 2012-09-19 | 2012-12-19 | 河海大学常州校区 | Complicated product model construction method based on surface feature |
| CN103310050A (en) * | 2013-05-31 | 2013-09-18 | 河海大学常州校区 | Method for defining curve surface features by user based on existing models |
-
2013
- 2013-12-20 CN CN201310712171.2A patent/CN103699898B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101388118A (en) * | 2008-10-17 | 2009-03-18 | 浙江大学 | Three-dimensional shoe last rebuilding method based on scanning and inputting |
| CN102831283A (en) * | 2012-09-19 | 2012-12-19 | 河海大学常州校区 | Complicated product model construction method based on surface feature |
| CN103310050A (en) * | 2013-05-31 | 2013-09-18 | 河海大学常州校区 | Method for defining curve surface features by user based on existing models |
Non-Patent Citations (2)
| Title |
|---|
| 何荣等: "逆向工程中特征曲面的识别方法", 《计算机应用》 * |
| 张量: "基于线元几何的曲面点云特征提取技术的研究与应用", 《全国优秀硕士学位论文全文数据库》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104615078A (en) * | 2014-11-30 | 2015-05-13 | 沈阳飞机工业（集团）有限公司 | Method for recognizing characteristics of bending side of aircraft sheet metal based on topological adjacent performance |
| CN104778308A (en) * | 2015-03-19 | 2015-07-15 | 上海工仿软件有限公司 | Airplane structure profile identification method and device |
| CN107204002A (en) * | 2016-10-17 | 2017-09-26 | 山东省科学院海洋仪器仪表研究所 | A kind of curved surface automatic identification and curved-surface structure parameter intelligent extracting method based on three-dimensional digital image |
| CN107204002B (en) * | 2016-10-17 | 2020-11-03 | 山东省科学院海洋仪器仪表研究所 | Method for automatically identifying curved surface and intelligently extracting structural parameters of curved surface based on three-dimensional digital image |
| CN110059760A (en) * | 2019-04-25 | 2019-07-26 | 北京工业大学 | Geometric figure recognition methods based on topological structure and CNN |
| CN110059760B (en) * | 2019-04-25 | 2021-04-30 | 北京工业大学 | Geometric figure recognition method based on topological structure and CNN |
| CN110597185A (en) * | 2019-08-30 | 2019-12-20 | 合肥学院 | Complex curved surface part mechanical arm machining system and method based on feature library |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103699898B (en) | 2016-08-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103699898B (en) | The curved surface features kind identification method of feature based line and topological relation | |
| US11520988B2 (en) | Semantic classification of entities in a building information model based on geometry and neighborhood | |
| US20180203961A1 (en) | Operation draft plan creation apparatus, operation draft plan creation method, non-transitory computer readable medium, and operation draft plan creation system | |
| CN105793848B (en) | Computer-implemented method including modeling procedure | |
| CN111710022B (en) | Rapid forming slice processing method for avoiding contour intersection | |
| CN106803253A (en) | Rock 3-D view crack extract method | |
| CN110069840A (en) | The construction method and device of indoor three-dimensional semantic model | |
| Gong et al. | A typification method for linear pattern in urban building generalisation | |
| CN110458764A (en) | A kind of point cloud data smoothing method based on morphology graphics process | |
| CN105550244A (en) | Adaptive clustering method | |
| US10750683B2 (en) | Drip irrigation emitter flow channel structural design method and fractal flow channel drip irrigation emitter product therefor | |
| CN107818338B (en) | Method and system for building group mode identification facing map synthesis | |
| CN104820826A (en) | Digital elevation model-based slope form extraction and recognition method | |
| CN103310050A (en) | Method for defining curve surface features by user based on existing models | |
| CN114119804A (en) | Plane model bounding polygon generation method and device and furniture contour identification method | |
| CN108595631A (en) | Three-dimensional CAD model bilayer search method based on Graph Spectral Theory | |
| CN105205537A (en) | Ontology based feature processing technology knowledge representation and inference device and method | |
| CN102930536A (en) | Indoor scene motility analysis and detection method based on hierarchical structure | |
| CN103177160A (en) | Airplane structural part automatic clamping method based on characteristics | |
| Ji et al. | Point cloud segmentation for complex microsurfaces based on feature line fitting | |
| CN116416377A (en) | Identification method, device and system for machining characteristics of thin-wall tube laser cutting | |
| Lai et al. | Recognition and classification of protrusion features on thin-wall parts for mold flow analysis | |
| CN115169122A (en) | Multi-stage manufacturing feature identification method based on graph and minimum disjoint feature volume suppression | |
| Lai et al. | Automatic recognition and decomposition of rib features in thin-shell parts for mold flow analysis | |
| Wang et al. | Boss recognition algorithm for application to finite element analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |