CN109933840B - Automatic region matching method and system based on house type geometric features - Google Patents

Automatic region matching method and system based on house type geometric features Download PDF

Info

Publication number
CN109933840B
CN109933840B CN201910047865.6A CN201910047865A CN109933840B CN 109933840 B CN109933840 B CN 109933840B CN 201910047865 A CN201910047865 A CN 201910047865A CN 109933840 B CN109933840 B CN 109933840B
Authority
CN
China
Prior art keywords
wall
room
area
line segment
polygon
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.)
Active
Application number
CN201910047865.6A
Other languages
Chinese (zh)
Other versions
CN109933840A (en
Inventor
陈旋
周海
王宏昌
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangsu Aijia Household Products Co Ltd
Original Assignee
Jiangsu Aijia Household Products Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Jiangsu Aijia Household Products Co Ltd filed Critical Jiangsu Aijia Household Products Co Ltd
Priority to CN201910047865.6A priority Critical patent/CN109933840B/en
Publication of CN109933840A publication Critical patent/CN109933840A/en
Application granted granted Critical
Publication of CN109933840B publication Critical patent/CN109933840B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an automatic region matching algorithm based on a house type geometric structure. After the wall drawing and the room area drawing are finished by using the drawing tool; and automatically establishing an association relation between the wall and the area, and counting the types of the articles in the room area. And then soft and hard decoration offers about any room area can be obtained according to the incidence relation.

Description

Automatic region matching method and system based on house type geometric features
Technical Field
The invention discloses a method and a system for automatically matching regions based on house type geometric characteristics, and belongs to the technical field of computer aided design.
Background
In the prior art, some home layouts are designed by adopting a computer aided design method, but the situations that the home layouts are connected with a decoration process according to a design drawing, consumables required by decoration, articles in houses and the like are obtained quickly still exist, and the automation degree is not high.
For example: when making statistics of the loss of wall decoration materials in a certain room area, the condition that the wall bodies reappear to intersect needs to be considered, the filtering repeated wall body area needs to be considered when the wall surface painting area is counted, as shown in fig. 1, the problem that two wall bodies overlap each other exists in the area a in the graph, the repeated calculation can be carried out when the wall body painting area is calculated, in addition, the problem that two wall bodies overlap each other exists in the area b in the graph, and a wall body is located outside a house, the overlapping and the locating of the part on the outer wall body of the house can also lead to the repeated calculation of the painting area, and the problem that the cost budget of decoration consumables is inaccurate is solved. On the other hand, when counting the types of objects in the area with the bay window, the objects on the bay window are missed for counting because the bay window itself is not included in the area, as shown in fig. 2.
Disclosure of Invention
The invention provides a method and a system for automatically matching regions based on house type geometric characteristics, wherein after wall drawing and room region drawing are finished by using a drawing tool; and automatically establishing an association relation between the wall and the area, and counting the types of the articles in the room area. And then soft and hard decoration offers about any room area can be obtained according to the incidence relation.
An automatic region matching method based on house type geometric features comprises the following steps:
s1, obtaining house type graph data, and identifying the room outline and the wall;
s2, determining the vertex of the polygon where the room outline is located, and marking the vertex clockwise or counterclockwise along the outline of the polygon;
s3, marking the direction of the line segment from the starting point to the end point for the line segment where the wall body is located;
s4, when the outline of the polygon is marked in a counterclockwise way, the left direction of the wall line segment is a related area; when the outline of the polygon is marked clockwise, the right side direction of the wall line segment is a related area;
s5, all the related areas are counted and used as the wall area in the room.
In one embodiment, the wall area in the room is used to calculate consumables required for decoration.
In one embodiment, when there is a line segment with more than two walls in the overlap, the overlap is removed from the associated area.
In one embodiment, the method for determining the existence of line segment coincidence is as follows: the overlapping walls will be present and projected onto the line they lie in, resulting in a repeating area.
In one embodiment, when a wall is located outside of a room, the wall located outside is deleted in the associated area.
In one embodiment, a method of deleting an externally located wall in an associated area, comprises the steps of: identifying all intersection points of the line segment where the wall body is located and the polygon of the room, and determining the starting point and the end point of the line segment where the wall body is located; and (3) judging: 1. when the starting point is positioned at the outer side of the polygon of the room, a wall body positioned in the room is arranged between the first intersection point and the second intersection point in the line segment direction; 2. when the starting point is located inside the polygon of the room, a wall located in the room is located between the starting point in the line segment direction and the first intersection point.
In one embodiment, the method further comprises the following steps: identifying a bay window in the house type graph, judging whether the bay window is positioned on a wall where the associated area is positioned, judging whether articles exist on the bay window area when the bay window is positioned on the wall of the associated area, and counting the articles into soft materials statistics of the room area when the articles exist.
An automatic matching system for regions based on house type geometric features, comprising:
the house type graph data acquisition module is used for acquiring house type graph data;
the identification module is used for identifying the room outline and the wall;
the room outline marking module is used for determining the vertex of a polygon where the room outline is positioned and marking the vertex clockwise or anticlockwise along the outline of the polygon;
the wall line segment marking module is used for marking the direction of the line segment from the starting point to the end point of the line segment where the wall is located;
and the wall body associated area judgment module is used for judging according to the marking results of the room outline marking module and the wall body line segment marking module: when the outline of the polygon is marked in a counterclockwise way, the left direction of the wall line segment is a related area; when the outline of the polygon is marked clockwise, the right side direction of the wall line segment is a related area;
and the statistical module is used for counting all the associated regions and taking the associated regions as the wall area in the room.
In one embodiment, the statistical module calculates consumables required for decoration by using the wall area in the room.
In one embodiment, the wall association area determination module is further configured to delete the overlapped part from the association area when there is an overlap between line segments of two or more walls.
In one embodiment, the method for determining the existence of line segment coincidence is as follows: the overlapping walls will be present and projected onto the line they lie in, resulting in a repeating area.
In one embodiment, the wall-associated region determination module is further configured to delete the wall located outside in the associated region when the wall is located outside the room.
In one embodiment, a method of deleting an externally located wall in an associated area, comprises the steps of: identifying all intersection points of the line segment where the wall body is located and the polygon of the room, and determining the starting point and the end point of the line segment where the wall body is located; and (3) judging: 1. when the starting point is positioned at the outer side of the polygon of the room, a wall body positioned in the room is arranged between the first intersection point and the second intersection point in the line segment direction; 2. when the starting point is located inside the polygon of the room, a wall located in the room is located between the starting point in the line segment direction and the first intersection point.
In one embodiment, the system further comprises a bay window identification module, which is used for identifying a bay window in the house type graph and judging whether the bay window is located on a wall where the associated area is located; and the article identification module is used for judging whether articles exist on the bay window area when the bay window is positioned on the wall body of the associated area, and when the articles exist, the articles are counted into soft packing material statistics of the room area.
A computer readable medium is described which is programmed to execute the above described automatic matching method for a house type geometry based region.
Advantageous effects
After the house type is drawn by using indoor design software, the incidence relation between the areas and the wall body can be established by the method, so that the usage of soft and hard decoration materials and decoration quotations of each room area are automatically given.
Counting the items in the room area requires finding all the bay windows associated with the room area, and counting the items on the bay windows into the list of items in the room area.
Drawings
FIG. 1 is a schematic view of a wall overlap in a floor plan.
Fig. 2 is a schematic view of an object positioned on a bay window.
Fig. 3 is a schematic diagram of the process of finding the orientation of a wall.
Fig. 4 is a schematic view of two walls with an overlap.
Fig. 5 is a schematic view of the wall orientation.
Fig. 6 is a schematic view of a wall passing through a room.
Fig. 7 is a schematic view of another wall through a room.
FIG. 8 is a schematic flow diagram of the present invention.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only examples or embodiments of the application, from which the application can also be applied to other similar scenarios without inventive effort for a person skilled in the art. It should be understood that these exemplary embodiments are given only for the purpose of enabling those skilled in the relevant art to better understand and to implement the present invention, and are not intended to limit the scope of the present invention in any way.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Although various references are made herein to certain systems, modules, or elements of a system according to embodiments of the present application, any number of different modules may be used and run on a client and/or server. The modules are merely illustrative and different aspects of the systems and methods may use different modules.
Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.
The flow method of the present invention is mainly shown in fig. 8, and is mainly used for identifying the size and area of a wall. The main description of the method is as follows:
an automatic region matching method based on house type geometric features comprises the following steps:
the house type data are collected, plan view data of the house type can be collected through the steps, data of the house type middle wall, the wall body, doors and windows and the like can be obtained after conventional image processing, and the data can be digitalized through a conventional characteristic vector design method.
Acquiring polygon vertex data of a room area, as shown in fig. 3, wherein the data for identifying the polygon vertices is used for identifying the orientation direction of a subsequent wall as a basis, and the orientation of the wall and the wall needing spraying can be quickly identified by the method; after obtaining each vertex of the polygon, the vertices may be sequentially traversed along the contour of the room, and the traversing direction may be counterclockwise or clockwise. Then, determining the direction of a line segment where the wall body is located, wherein one end of the line segment is a starting point, the other end of the line segment is an end point, the direction from the starting point to the end point is the direction of the wall body, traversing the wall body in the house type graph, and if the direction vector of the wall body (the unit vector corresponding to the starting point to the end point of the wall body) is the same as the traversing direction of the room polygon (both are anticlockwise), enabling the left wall surface of the wall body to belong to the room area; if the direction is reversed, the wall surface on the right side of the wall body belongs to the room area. As a result of the specific recognition, as shown in fig. 5, through such a calculation process, it can be determined which side of the wall faces the inside of the house, which side needs to be painted, and the area of the side can be cumulatively calculated. And traversing the polygon vertex data on the area, and judging how many sections of walls are associated with the edge aiming at each line section on the area.
As shown in fig. 1 and 4, after the orientation of the walls identified in the software is determined, there are some wall-to-wall coincidences, and the areas of these coincidences are repeatedly calculated when calculating the consumable. Therefore, it is necessary to project the walls where there is overlap onto the straight line where they are located, and to eliminate the duplication. As shown in fig. 4, the wall 1 and the wall 2 have an overlapping portion, and we cannot repeatedly count the wall area where the wall 1 and the wall 2 overlap when counting the wall information of the area.
As shown in fig. 1, there are some walls that end outside the room, so the area of the wall outside the room needs to be removed from the total wall. The process may be as shown in fig. 6 and 7.
1) All intersections of the wall with the room area polygon are obtained.
2) And sequencing the intersection points according to the direction from the starting point to the end point of the wall, and adding the starting point and the end point of the wall.
3) These points are all within the polygon, except for the start and end points of the wall.
4) Judging that if the starting point of the wall is in the polygon, all line segments obtained from the starting point of the wall to the next intersection point (the intersection point of the wall and the area, as shown in fig. 3 or fig. 4) are in the room area (refer to fig. 6); if the start of the wall is outside the polygon, the start of the wall to the next intersection point is within the room area (see FIG. 7). The remaining wall segments are one segment inside the room area and one segment outside the room area.
5) The wall segments in the room area are collected into the room area statistics list (i.e., the wall in the box as shown in fig. 6 or fig. 7).
As shown in fig. 2, there are also some soft packing materials on the bay window in the room, and the method of collecting the software items in the room area is as follows:
1) and finding all the wall surfaces related to the area according to the association relationship between the area and the wall body.
2) And judging whether the bay window on the wall is on the section of the wall surface associated with the area, and if so, collecting the bay window associated with the area.
3) And judging whether the article is in the polygon of the area or the bay window area related to the room area, and if so, counting soft packing material statistics of the room area.
By the method, the total area of the wall to be painted in the room can be identified, the required consumable materials can be conveniently calculated, and the soft materials in the room can be counted.
Based on the above method, the invention also provides an automatic region matching system based on the house type geometric characteristics, which comprises the following steps:
the house type graph data acquisition module is used for acquiring house type graph data;
the identification module is used for identifying the room outline and the wall;
the room outline marking module is used for determining the vertex of a polygon where the room outline is positioned and marking the vertex clockwise or anticlockwise along the outline of the polygon;
the wall line segment marking module is used for marking the direction of the line segment from the starting point to the end point of the line segment where the wall is located;
and the wall body associated area judgment module is used for judging according to the marking results of the room outline marking module and the wall body line segment marking module: when the outline of the polygon is marked in a counterclockwise way, the left direction of the wall line segment is a related area; when the outline of the polygon is marked clockwise, the right side direction of the wall line segment is a related area;
and the statistical module is used for counting all the associated regions and taking the associated regions as the wall area in the room.
In one embodiment, the statistical module calculates consumables required for decoration by using the wall area in the room.
In one embodiment, the wall association area determination module is further configured to delete the overlapped part from the association area when there is an overlap between line segments of two or more walls.
In one embodiment, the method for determining the existence of coincidence of line segments is as follows: the overlapped walls are projected to the straight line where they are located, and the repeated area is obtained.
In one embodiment, the wall-associated region determination module is further configured to delete the wall located outside in the associated region when the wall is located outside the room.
In one embodiment, a method of deleting an externally located wall in an associated area, comprises the steps of: identifying all intersection points of the line segment where the wall body is located and the polygon of the room, and determining the starting point and the end point of the line segment where the wall body is located; and (3) judging: 1. when the starting point is positioned at the outer side of the polygon of the room, a wall body positioned in the room is arranged between the first intersection point and the second intersection point in the line segment direction; 2. when the starting point is located inside the polygon of the room, a wall located in the room is located between the starting point in the line segment direction and the first intersection point.
In one embodiment, the system further comprises a bay window identification module, which is used for identifying the bay window in the house type graph and judging whether the bay window is positioned on the wall where the associated area is positioned; and the article identification module is used for judging whether articles exist on the bay window area when the bay window is positioned on the wall body of the associated area, and when the articles exist, the articles are counted into soft packing material statistics of the room area.
The present invention also provides a computer readable medium recording a program that can execute the above-described method for automatic matching of a region based on geometric characteristics of a house type.
Moreover, those skilled in the art will appreciate that aspects of the present application may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereon. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.
A computer readable signal medium may comprise a propagated data signal with computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, and the like, or any suitable combination. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code on a computer readable signal medium may be propagated over any suitable medium, including radio, electrical cable, fiber optic cable, radio frequency signals, or the like, or any combination of the preceding.
Computer program code required for the operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any form of network, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service using, for example, software as a service (SaaS).
Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.

Claims (6)

1. An automatic region matching method based on house type geometric features is characterized by comprising the following steps:
s1, obtaining house type graph data, and identifying the room outline and the wall;
s2, determining the vertex of the polygon where the room outline is located, and marking the vertex clockwise or counterclockwise along the outline of the polygon;
s3, marking the direction of the line segment where the wall body is located by adopting the direction from the starting point to the end point;
s4, when the outline of the polygon is marked in a counterclockwise way, the left direction of the wall line segment is a related area; when the outline of the polygon is marked clockwise, the right side direction of the wall line segment is a related area;
s5, counting all the related areas, and taking the areas as the wall areas in the room;
when the line segments where more than two walls are located are overlapped, deleting the overlapped part from the associated area; the method for judging whether the line segments overlap is as follows: projecting the overlapped walls to a straight line where the overlapped walls are located to obtain a repeated area; when the wall is located outside the room, deleting the wall located outside in the associated area;
the method for deleting the wall body positioned outside in the associated area comprises the following steps: identifying all intersection points of the line segment where the wall body is located and the polygon of the room, and determining the starting point and the end point of the line segment where the wall body is located; and (3) judging: 1. when the starting point is positioned at the outer side of the polygon of the room, a wall body positioned in the room is arranged between the first intersection point and the second intersection point in the line segment direction; 2. when the starting point is located inside the polygon of the room, a wall located in the room is located between the starting point in the line segment direction and the first intersection point.
2. The automatic house type geometric feature-based area matching method according to claim 1, wherein consumables required for decoration are calculated by using wall areas in a room.
3. The method for automatically matching a region based on house type geometric features according to claim 1, further comprising the steps of: identifying a bay window in the house type graph, judging whether the bay window is positioned on a wall body where the associated area is positioned, judging whether articles exist on the bay window area when the bay window is positioned on the wall body of the associated area, and counting the articles into soft materials statistics of the room area when the articles exist.
4. An automatic region matching system based on house type geometric features, comprising:
the house type graph data acquisition module is used for acquiring house type graph data;
the identification module is used for identifying the room outline and the wall;
the room outline marking module is used for determining the vertex of a polygon where the room outline is positioned and marking the vertex clockwise or anticlockwise along the outline of the polygon;
the wall line segment marking module is used for marking the direction of the line segment from the starting point to the end point of the line segment where the wall is located;
and the wall body associated area judgment module is used for judging according to the marking results of the room outline marking module and the wall body line segment marking module: when the outline of the polygon is marked in a counterclockwise way, the left direction of the wall line segment is a related area; when the outline of the polygon is marked clockwise, the right side direction of the wall line segment is a related area;
the statistical module is used for counting all the associated regions and taking the associated regions as the wall area in the room;
the statistical module calculates consumables required by decoration by adopting the wall area in the room; the wall body association area judgment module is also used for deleting the overlapped part from the association area when the line segments where more than two wall bodies are located are overlapped; the method for judging whether the line segments overlap is as follows: projecting the overlapped walls to the straight line where the overlapped walls are located to obtain a repeated area; the wall body association area judgment module is also used for deleting the wall body positioned outside in the association area when the wall body is positioned outside the room;
the method for deleting the wall body positioned outside in the associated area comprises the following steps: identifying all intersection points of the line segment where the wall body is located and the polygon of the room, and determining the starting point and the end point of the line segment where the wall body is located; and (3) judging: 1. when the starting point is positioned at the outer side of the polygon of the room, a wall body positioned in the room is arranged between the first intersection point and the second intersection point in the line segment direction; 2. when the starting point is located inside the polygon of the room, a wall located in the room is located between the starting point in the line segment direction and the first intersection point.
5. The system for automatically matching an area based on house type geometric characteristics according to claim 4, further comprising a bay window recognition module for recognizing a bay window in the house type graph and determining whether the bay window is located on a wall where the associated area is located; and the article identification module is used for judging whether articles exist on the bay window area when the bay window is positioned on the wall body of the associated area, and when the articles exist, the articles are counted into soft packing material statistics of the room area.
6. A computer-readable medium on which a program is recorded that can execute the house type geometrical characteristic-based region automatic matching method according to any one of claims 1 to 3.
CN201910047865.6A 2019-01-18 2019-01-18 Automatic region matching method and system based on house type geometric features Active CN109933840B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910047865.6A CN109933840B (en) 2019-01-18 2019-01-18 Automatic region matching method and system based on house type geometric features

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910047865.6A CN109933840B (en) 2019-01-18 2019-01-18 Automatic region matching method and system based on house type geometric features

Publications (2)

Publication Number Publication Date
CN109933840A CN109933840A (en) 2019-06-25
CN109933840B true CN109933840B (en) 2022-07-08

Family

ID=66985123

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910047865.6A Active CN109933840B (en) 2019-01-18 2019-01-18 Automatic region matching method and system based on house type geometric features

Country Status (1)

Country Link
CN (1) CN109933840B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110781539B (en) * 2019-09-29 2022-07-08 江苏艾佳家居用品有限公司 Automatic design method and system for house type graph
CN111521162B (en) * 2020-04-15 2021-06-08 广东博智林机器人有限公司 Method and device for determining station measurement, electronic equipment and storage medium
CN111859510A (en) * 2020-07-28 2020-10-30 苏州金螳螂三维软件有限公司 Rapid room changing method and intelligent terminal
CN113537324B (en) * 2021-07-05 2023-09-12 百安居网络技术(上海)有限公司 House type space matching method and device based on thin geometric plane spline interpolation

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106156438A (en) * 2016-07-12 2016-11-23 杭州群核信息技术有限公司 Body of wall recognition methods and device
CN106528904A (en) * 2016-07-09 2017-03-22 陈志静 Residential house chart building structure intelligent recognition and functional area automatic planning and designing method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106528904A (en) * 2016-07-09 2017-03-22 陈志静 Residential house chart building structure intelligent recognition and functional area automatic planning and designing method
CN106156438A (en) * 2016-07-12 2016-11-23 杭州群核信息技术有限公司 Body of wall recognition methods and device

Also Published As

Publication number Publication date
CN109933840A (en) 2019-06-25

Similar Documents

Publication Publication Date Title
CN109933840B (en) Automatic region matching method and system based on house type geometric features
Hong et al. Semi-automated approach to indoor mapping for 3D as-built building information modeling
CN105511478B (en) Applied to the control method of sweeping robot, sweeping robot and terminal
EP3340106A1 (en) Method for assigning particular classes of interest within measurement data
Ayache et al. Trinocular stereovision for robotics
Ebrahimpour et al. Vanishing point detection in corridors: using Hough transform and K-means clustering
Fotsing et al. Iterative closest point for accurate plane detection in unorganized point clouds
CN102944174A (en) Point cloud data processing method and system
CN110325327B (en) System for analyzing geometrical properties of an object
CN108209745A (en) Control method, device, computer equipment and the storage medium of cleaning equipment
CN109077672B (en) Method and device for selecting block by floor sweeping robot
CN110826121B (en) Method and system for automatically positioning house type corridor and entrance
CN108008409A (en) Region contour method for drafting and device
CN109903389B (en) Three-dimensional model grid processing method and system
Jelinek et al. Fast total least squares vectorization
CN108133116B (en) Method and system for automatically identifying wall thickness of CAD house type graph
Nieser et al. Patch layout from feature graphs
CN113744329A (en) Automatic region division and robot walking control method, system, equipment and medium
CN108805121B (en) License plate detection and positioning method, device, equipment and computer readable medium
Wolter et al. Shape-based robot mapping
Lim et al. An optimization approach to shape matching and recognition
Prabhu et al. Monitoring and Digitising Human-Workpiece Interactions during a Manual Manufacturing Assembly Operation Using KinectTM
Truax et al. Using prioritized relaxations to locate objects in points clouds for manipulation
CN110415360B (en) Graphic processing method and system for ground area in home decoration design
Marzorati et al. Particle-based sensor modeling for 3d-vision slam

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information
CB02 Change of applicant information

Address after: 211100 floor 5, block a, China Merchants high speed rail Plaza project, No. 9, Jiangnan Road, Jiangning District, Nanjing, Jiangsu (South Station area)

Applicant after: JIANGSU AIJIA HOUSEHOLD PRODUCTS Co.,Ltd.

Address before: 211100 No. 18 Zhilan Road, Science Park, Jiangning District, Nanjing City, Jiangsu Province

Applicant before: JIANGSU AIJIA HOUSEHOLD PRODUCTS Co.,Ltd.

GR01 Patent grant
GR01 Patent grant