CN107066635A - A kind of method and system of the architecture information guide to visitors recognized based on image comparison - Google Patents
A kind of method and system of the architecture information guide to visitors recognized based on image comparison Download PDFInfo
- Publication number
- CN107066635A CN107066635A CN201710499038.1A CN201710499038A CN107066635A CN 107066635 A CN107066635 A CN 107066635A CN 201710499038 A CN201710499038 A CN 201710499038A CN 107066635 A CN107066635 A CN 107066635A
- Authority
- CN
- China
- Prior art keywords
- image
- building
- information
- contrast
- urban
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000000605 extraction Methods 0.000 claims abstract description 16
- 238000012216 screening Methods 0.000 claims abstract description 16
- 230000003190 augmentative effect Effects 0.000 claims description 8
- 238000005286 illumination Methods 0.000 claims description 8
- 239000011521 glass Substances 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000005070 sampling Methods 0.000 claims description 6
- 238000011160 research Methods 0.000 claims description 5
- 230000006399 behavior Effects 0.000 claims description 4
- 230000009191 jumping Effects 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 230000000007 visual effect Effects 0.000 description 6
- 230000005540 biological transmission Effects 0.000 description 4
- 241001247287 Pentalinon luteum Species 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000012467 final product Substances 0.000 description 2
- 230000008447 perception Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/54—Browsing; Visualisation therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/35—Categorising the entire scene, e.g. birthday party or wedding scene
- G06V20/38—Outdoor scenes
- G06V20/39—Urban scenes
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Remote Sensing (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention discloses a kind of method and system of the architecture information guide to visitors recognized based on image comparison, method includes：Step 1) gather the view data that one or more town is built；Step 2) data characteristics screening and feature extraction are carried out to the image of image data base, form pre-image；Step 3) mobile terminal calls the camera of itself, and obtain current building realtime graphic and hold before application in App and be shown；Step 4) by building realtime graphic and the step 2) in pre-image carry out comparing, and complete Building recognition；Step 5) based on being built after identification, it is connected with cloud database, wherein, title link is clicked on, the attached society of building and business information is jumped to, carries out guide to visitors displaying.
Description
Technical Field
The invention belongs to the field of image recognition, and relates to a building information navigation method and system based on image contrast recognition.
Background
At present, most of the existing urban geographic information is plane additional information, such as Baidu maps, Gaode maps and the like, or two-dimensional codes acquire information, the process of positioning urban buildings (ancient buildings, cultural heritages) is not visual, and the perception of users is difficult.
Among them, certain image recognition technologies appear in the use of professional search engines (such as Google pictures, TinEye, and hundredth images), named in terms of search engine: "reverse image search engine" (reverse image search engine). However, the application is mainly based on search of massive uploading databases, the application targets are mostly in a multi-to-multi identification mode, and background professional data application is less.
Furthermore, the readability information of urban buildings (ancient architecture cultural heritage) provided by the conventional application of the plane map information such as the Baidu map and the Gaode map is less.
Disclosure of Invention
The invention aims to solve the technical problem and mainly aims at the field of buildings, and relates to a method and a system for guiding building information based on image contrast identification.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a method of building information navigation based on image contrast recognition, comprising:
step 1) acquiring image data of buildings in one or more specific cities, comprising:
acquiring images of a specific building according to 360 degrees under different distances, different depths of field and different illumination conditions to form an image database;
step 2) carrying out data feature screening and feature extraction on the image of the image database to form a pre-image;
step 3) the mobile terminal calls a camera of the mobile terminal to obtain a real-time image of the current building and displays the real-time image in an application front end App;
step 4) carrying out data comparison on the real-time building image and the pre-image in the step 2) and completing building identification;
and 5) connecting the identified building with a cloud database based on the identified building, wherein the name link is clicked, and the building is jumped to the building affiliate and business information for navigation and display.
Preferably, step 2) includes: performing image distinguishing type feature screening based on a CNN network; local features are extracted based on an AKAZE extraction algorithm, and a pre-image is formed.
Preferably, the building image matching system is developed based on Unity3D to apply front-end App.
Preferably, before step 5), the method further comprises: the method for establishing the big data cloud database of the affiliated society and the commercial information of the urban building comprises the following steps:
the case-based research is carried out to provide a platform and a file of urban geographic information and find out typical behaviors corresponding to public search urban building affiliated society and commercial culture heritage history and value, such as a commuting mode, a visiting mode, a consumption mode and the like;
through questionnaires and interviews and the input of collected data by using SPSS software, the relevance of the history and the value of the affiliated society of the urban building concerned by the common public and the commercial cultural heritage is analyzed; and/or the presence of a gas in the gas,
and (3) building a three-dimensional model database (BIM) of the urban building, and inputting the planar information of the traditional Baidu map, the Gaode map and the like into the three-dimensional model.
Preferably, in step 4), the feature points in the urban building structure and the external contour in the image are sampled, and the feature points are used as image feature information for comparison and identification of the building image.
Preferably, the step 1) specifically includes:
sampling image data of a city building;
setting different standard values such as gray value, contrast value and the like by using image processing software;
verifying the recognition degree of the building image under different gray values and contrast values by using a primary computer algorithm set by OpenCV and MATLAB;
analyzing the parameterized corresponding relation among the gray values, the contrast value parameters and the identified degree by using the SPSS; and selecting the gray value and contrast value parameter standard of the typical building image under the optimal recognition degree according to the result.
Preferably, step 5) includes:
and displaying the information in the augmented reality of the mobile phone by utilizing the App application.
Preferably, step 5) includes:
experience type display is carried out by utilizing Google Glass of Google, Hololens of Microsoft and Moverio series intelligent glasses of Epson.
A system for building information navigation based on image contrast recognition, comprising:
an image acquisition device for acquiring image data of one or more specific urban buildings, comprising:
acquiring images of a specific building according to 360 degrees under different distances, different depths of field and different illumination conditions to form an image database;
the image processing device is used for carrying out data feature screening and feature extraction on the images in the image database to form a pre-image;
the mobile terminal is used for calling a camera of the mobile terminal, acquiring a real-time image of the current building and displaying the real-time image in the application front end App;
the image identification device is used for comparing the building real-time image with the pre-image and completing building identification;
and the navigation display device is used for connecting the building with the cloud database based on the identified building, clicking the name link, jumping to the building affiliate and the commercial information, and performing navigation display.
Preferably, the image processing apparatus further performs image distinguishing type feature screening based on a CNN network; local features are extracted based on an AKAZE extraction algorithm, and a pre-image is formed.
Through the invention, a digital platform integrating city building affiliated geographic information display, sharing and transmission and Wiki type self-editing is established, and convenient city building affiliated society and business information transmission are expected to be realized (i see and feel I' with convenient popularization).
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The present invention will be described in detail below with reference to the accompanying drawings so that the above advantages of the present invention will be more apparent. Wherein,
FIG. 1 is a flow diagram of a method of image contrast recognition based building information navigation according to the present invention;
FIG. 2 is a schematic flow diagram of one embodiment of the present invention;
FIG. 3 is a schematic flow diagram of one embodiment of the present invention;
FIG. 4 is a schematic flow diagram of one embodiment of the present invention;
FIG. 5 is a schematic flow diagram of one embodiment of the present invention;
FIG. 6 is a flow diagram of one embodiment of the present invention.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments of the present invention may be combined with each other, and the technical solutions formed are within the scope of the present invention.
Additionally, the steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions and, although a logical order is illustrated in the flow charts, in some cases, the steps illustrated or described may be performed in an order different than here.
The first embodiment is as follows:
as shown in fig. 1, a method for guiding building information based on image contrast recognition includes:
step 1) acquiring image data of buildings in one or more specific cities, comprising:
acquiring images of a specific building according to 360 degrees under different distances, different depths of field and different illumination conditions to form an image database;
step 2) carrying out data feature screening and feature extraction on the image of the image database to form a pre-image;
step 3) the mobile terminal calls a camera of the mobile terminal to obtain a real-time image of the current building and displays the real-time image in an application front end App;
step 4) carrying out data comparison on the real-time building image and the pre-image in the step 2) and completing building identification;
and 5) connecting the identified building with a cloud database based on the identified building, wherein the name link is clicked, and the building is jumped to the building affiliate and business information for navigation and display.
According to the invention, through the integrated urban building (ancient building cultural heritage) information model suitable for establishing the big data terminal, seamless connection between the visual image and the social and commercial (cultural heritage history and value) information of the urban building (ancient building cultural heritage) is realized, and the displayed information is more abundant and diversified.
Example two:
to explain the first embodiment in detail, step 2) includes: performing image distinguishing type feature screening based on a CNN network; local features are extracted based on an AKAZE extraction algorithm, and a pre-image is formed.
Before step 5), the method further comprises the following steps: the method for establishing the big data cloud database of the affiliated society and the commercial information of the urban building comprises the following steps:
the case-based research is carried out to provide a platform and a file of urban geographic information and find out typical behaviors corresponding to public search urban building affiliated society and commercial culture heritage history and value, such as a commuting mode, a visiting mode, a consumption mode and the like;
through questionnaires and interviews and the input of collected data by using SPSS software, the relevance of the history and the value of the affiliated society of the urban building concerned by the common public and the commercial cultural heritage is analyzed; and/or the presence of a gas in the gas,
and (3) building a three-dimensional model database (BIM) of the urban building, and inputting the planar information of the traditional Baidu map, the Gaode map and the like into the three-dimensional model.
And 4) in step 4), identifying characteristic points by sampling the urban building structure and the external contour in the image, and taking the characteristics as image characteristic information for comparison and identification of the building image.
The step 1) specifically comprises the following steps:
sampling image data of a city building;
setting different standard values such as gray value, contrast value and the like by using image processing software;
verifying the recognition degree of the building image under different gray values and contrast values by using a primary computer algorithm set by OpenCV and MATLAB;
analyzing the parameterized corresponding relation among the gray values, the contrast value parameters and the identified degree by using the SPSS; and selecting the gray value and contrast value parameter standard of the typical building image under the optimal recognition degree according to the result.
Compared with the prior art, the invention has the following detailed advantages:
1. most of the existing urban geographic information dissemination is plane additional information, such as Baidu maps, Gaode maps and the like, or two-dimensional codes acquire information, the process of positioning urban buildings (ancient buildings cultural heritage) is not visual, and the perception of users is difficult.
The invention directly identifies the buildings in front in a building image identification mode which is visual and simple, and enables a user to quickly, visually and conveniently operate.
2. Existing image recognition techniques have been applied in reality to the use of specialized search engines (such as Google pictures, TinEye, hundredths pictures), named in search engine terminology: "reverse image search engine" (reverse image search engine). However, the application is mainly based on search of massive uploading databases, the application targets are mostly in a multi-to-multi identification mode, and background professional data application is less.
According to the invention, the city building (ancient building cultural heritage) "pre" Image (Candidate Image) database is established, the characteristic points of the "pre" Image are extracted, the information acquired by the application terminal is compared with the extracted characteristic points, the application target is changed into many-to-one, the identification precision is greatly improved, and the background data volume is greatly reduced.
3. The readability information of urban buildings (ancient architecture cultural heritage) provided by the application of the existing plane map information such as Baidu maps and Gaode maps is less.
According to the invention, through the integrated urban building (ancient building cultural heritage) information model suitable for establishing the big data terminal, seamless connection between the visual image and the social and commercial (cultural heritage history and value) information of the urban building (ancient building cultural heritage) is realized, and the displayed information is more abundant and diversified.
Example three:
in one embodiment, the technical problems and steps to be solved by the present invention mainly include:
1) big data terminal for establishing subsidiary society of city building (ancient architecture cultural heritage) and business information
The case-based research provides a platform and a file of urban geographic information, and finds out typical behaviors of public search urban building (ancient building cultural heritage) affiliated society and business (cultural heritage history and value) corresponding to a commuting mode, a visiting mode, a consumption mode and the like.
And analyzing the relevance of the subsidiary society and the business (cultural heritage history and value) of the urban building (ancient architecture cultural heritage) concerned by the common public by surveying questionnaires and interviews and inputting and collecting data by using SPSS software.
And thirdly, building a three-dimensional model database (BIM) of the urban building, and inputting the planar information of the traditional Baidu map, the Gaode map and the like into the three-dimensional model.
2) Computer algorithm model of' building image recognition technology
The method includes the steps of summarizing and analyzing the existing research results of the image recognition technology and mature computer image recognition algorithm models such as face recognition.
And secondly, comparing the outline characteristics of the building Image with the existing algorithms in a Digital Image Recognition technology (Digital Image Recognition) and an Image Retrieval and space comparison Recognition technology (Visual Object Retrieval and Spatial Matching).
Sampling the building structure and the outer contour in the image to identify the characteristic points, and summarizing the image characteristic information identified by comparing the building image according to the characteristics to convert the image characteristic information into an algorithm model of computer codes.
Verifying the accuracy of the computer algorithm edited by MATLAB in the comparison and identification of the building images based on OpenCV (cross-platform computer vision library) software.
3) Acquisition standards such as gray value and contrast value of building 'pre' Image (Candidate Image)
Sampling 'pre' image data of urban architecture (ancient architecture cultural heritage)
Secondly, setting different standard values such as gray value, contrast value and the like by using image processing software.
Verifying the identified degree of the building image under different gray values and contrast values by using the primary computer algorithm set by the OpenCV and the MATLAB.
And analyzing the parameterized corresponding relation among the gray values, the contrast value parameters and the identified degree by using the SPSS.
Selecting the gray value and contrast value parameter standard of the best recognized degree of the typical building image.
4) City building (ancient architecture cultural heritage) subsidiary society and commercial information AR (augmented reality) display
Firstly, App application is utilized in the early stage, and the information is displayed in the augmented reality of the mobile phone.
In a long term, experience type display of visiting cities (ancient architecture culture heritage) and the like is promoted by using augmented reality equipment such as Google Glass of Google corporation, Hololens of Microsoft corporation, and Moverio series 'intelligent glasses' of Epson corporation.
The method comprises the following steps that firstly, a big data terminal of the information of the affiliated society and the business (cultural heritage history and value) of the urban building (ancient architecture cultural heritage);
secondly, comparing and identifying the building images;
typical 'pre' image database of city building (ancient architecture cultural heritage);
fourthly, displaying the information AR (augmented reality) of the affiliated society and business (cultural heritage history and value) of the urban building (ancient architecture cultural heritage);
the invention realizes the virtual augmented reality (augmented reality) effect through the O2O technology (On Line & Off Line), and greatly improves the experience of the general public when acquiring urban geographic information. In reality, with very low cost, the method meets the requirements of quick experience and intuitive acquisition, and reads urban geographic information from a two-dimensional plane to be intuitively overlaid on an urban real building.
Through the invention, a digital platform integrating city building affiliated geographic information display, sharing and transmission and Wiki type self-editing is established, and convenient city building affiliated society and business information transmission are expected to be realized (i see and feel I' with convenient popularization).
Example four:
the information guiding system for the early buildings (such as a qinghua hall, a qinghua school hall, a second school door, a sundial, an i-shaped hall entrance and the like) of the qinghua university based on the image comparison, comparison and identification technology, as shown in fig. 2-5, comprises:
1-Collection of early building "Pre" Image (Candidate Image) data at Qinghua university:
images of early buildings (a Qinghua auditorium, a Qinghua school hall, a second school door, a sundial, an I-shaped hall entrance and the like) of the Qinghua university are collected according to different distances, different depths of field and different illumination conditions by 360 degrees and serve as target images for comparison and identification.
2- "Pre" Image (Candidate Image) data feature screening and feature extraction
The CNN network is used for image distinguishing type feature screening, has strong anti-noise capability and is insensitive to the shielding and illumination intensity of the image;
the AKAZE extraction algorithm for extracting the local features of AKAZE has both real-time performance and accuracy.
The process is shown in the attached drawings in detail.
3-developing an architectural image comparison system application front-end, comprising: based on Unity3D, a building image matching system application front-end App is developed.
4-obtaining real-time building image by front end and comparing and matching with 'pre' image
Based on a standard rapid algorithm for Image feature matching (RANSAC), the real-time Image of the building obtained by the application front end is compared and matched with the data of the pre-Image (Candidate Image) which is subjected to feature screening and feature extraction in the step 2, and building identification is completed.
In the final product, through the design of the algorithm, the accuracy of 98.56% and the average delay of 125ms are obtained in the final product,
5-display of social and commercial information attached to urban building (ancient architecture cultural heritage)
And clicking the name link of the identified building, jumping to social and commercial information affiliated to the building (ancient architecture cultural heritage), and performing guide display.
Example five:
corresponding to the embodiment of the method, the invention also discloses a system for guiding the building information based on image contrast identification, which comprises the following steps:
an image acquisition device for acquiring image data of one or more specific urban buildings, comprising:
acquiring images of a specific building according to 360 degrees under different distances, different depths of field and different illumination conditions to form an image database;
the image processing device is used for carrying out data feature screening and feature extraction on the images in the image database to form a pre-image;
the mobile terminal is used for calling a camera of the mobile terminal, acquiring a real-time image of the current building and displaying the real-time image in the application front end App;
the image identification device is used for comparing the building real-time image with the pre-image and completing building identification;
and the navigation display device is used for connecting the building with the cloud database based on the identified building, clicking the name link, jumping to the building affiliate and the commercial information, and performing navigation display.
The image processing device further performs image distinguishing type feature screening based on a CNN network; local features are extracted based on an AKAZE extraction algorithm, and a pre-image is formed.
It should be noted that for simplicity of description, the above method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method of building information navigation based on image contrast recognition, comprising:
step 1) acquiring image data of buildings in one or more specific cities, comprising:
acquiring images of a specific building according to 360 degrees under different distances, different depths of field and different illumination conditions to form an image database;
step 2) carrying out data feature screening and feature extraction on the image of the image database to form a pre-image;
step 3) the mobile terminal calls a camera of the mobile terminal to obtain a real-time image of the current building and displays the real-time image in an application front end App;
step 4) carrying out data comparison on the real-time building image and the pre-image in the step 2) and completing building identification;
and 5) connecting the identified building with a cloud database based on the identified building, wherein the name link is clicked, and the building is jumped to the building affiliate and business information for navigation and display.
2. The method for guiding building information based on image contrast identification according to claim 1, wherein the step 2) comprises: performing image distinguishing type feature screening based on a CNN network; local features are extracted based on an AKAZE extraction algorithm, and a pre-image is formed.
3. The method for guiding building information based on image contrast identification according to claim 1 or 2, characterized in that building image contrast system application front-end App is developed based on Unity 3D.
4. The method for guiding building information based on image contrast identification according to claim 1 or 2, wherein step 5) is preceded by further comprising: the method for establishing the big data cloud database of the affiliated society and the commercial information of the urban building comprises the following steps:
the case-based research is carried out to provide a platform and a file of urban geographic information and find out typical behaviors of public search urban building affiliated society and commercial culture heritage history and value corresponding to a commuting mode, a visiting mode and a consumption mode;
through questionnaires and interviews and the input of collected data by using SPSS software, the relevance of the history and the value of the affiliated society of the urban building concerned by the common public and the commercial cultural heritage is analyzed; and/or the presence of a gas in the gas,
and (3) building a three-dimensional model database (BIM) of the urban building, and inputting the planar information of the traditional Baidu map, the Gaode map and the like into the three-dimensional model.
5. The method for guiding building information based on image contrast identification according to claim 1 or 2, wherein in step 4), the city building structure and the outer contour in the image are sampled to identify the feature points, and the feature points are used as the image feature information of the building image contrast identification.
6. The method for guiding building information based on image contrast identification according to claim 1 or 2, wherein the step 1) specifically comprises:
sampling image data of a city building;
setting different standard values such as gray value, contrast value and the like by using image processing software;
verifying the recognition degree of the building image under different gray values and contrast values by using a primary computer algorithm set by OpenCV and MATLAB;
analyzing the parameterized corresponding relation among the gray values, the contrast value parameters and the identified degree by using the SPSS; and selecting the gray value and contrast value parameter standard of the typical building image under the optimal recognition degree according to the result.
7. The method for guiding building information based on image contrast identification according to claim 1 or 2, wherein in step 5), the method comprises:
and displaying the information in the augmented reality of the mobile phone by utilizing the App application.
8. The method for guiding building information based on image contrast identification according to claim 1 or 2, wherein in step 5), the method comprises:
experience type display is carried out by utilizing Google Glass of Google, Hololens of Microsoft and Moverio series intelligent glasses of Epson.
9. A system for building information navigation based on image contrast recognition, comprising:
an image acquisition device for acquiring image data of one or more specific urban buildings, comprising:
acquiring images of a specific building according to 360 degrees under different distances, different depths of field and different illumination conditions to form an image database;
the image processing device is used for carrying out data feature screening and feature extraction on the images in the image database to form a pre-image;
the mobile terminal is used for calling a camera of the mobile terminal, acquiring a real-time image of the current building and displaying the real-time image in the application front end App;
the image identification device is used for comparing the building real-time image with the pre-image and completing building identification;
and the navigation display device is used for connecting the building with the cloud database based on the identified building, clicking the name link, jumping to the building affiliate and the commercial information, and performing navigation display.
10. The system for guiding building information based on image contrast identification according to claim 9, wherein the image processing device further performs image discriminating type feature screening based on a CNN network; local features are extracted based on an AKAZE extraction algorithm, and a pre-image is formed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710499038.1A CN107066635A (en) | 2017-06-27 | 2017-06-27 | A kind of method and system of the architecture information guide to visitors recognized based on image comparison |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710499038.1A CN107066635A (en) | 2017-06-27 | 2017-06-27 | A kind of method and system of the architecture information guide to visitors recognized based on image comparison |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107066635A true CN107066635A (en) | 2017-08-18 |
Family
ID=59613941
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710499038.1A Pending CN107066635A (en) | 2017-06-27 | 2017-06-27 | A kind of method and system of the architecture information guide to visitors recognized based on image comparison |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107066635A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107728176A (en) * | 2017-09-27 | 2018-02-23 | 广西南宁智翠科技咨询有限公司 | A kind of mobile base station searches navigation system |
| CN108804486A (en) * | 2017-09-01 | 2018-11-13 | 北京视联动力国际信息技术有限公司 | A kind of image-recognizing method and device |
| CN109034008A (en) * | 2018-07-06 | 2018-12-18 | 合肥安华信息科技有限公司 | A kind of show ground management system based on feature identification |
| CN109034151A (en) * | 2018-06-27 | 2018-12-18 | 华中科技大学 | A kind of localization method for the identification of multiple pointer instruments |
| CN109886191A (en) * | 2019-02-20 | 2019-06-14 | 上海昊沧系统控制技术有限责任公司 | A kind of identification property management reason method and system based on AR |
| CN110705605A (en) * | 2019-09-11 | 2020-01-17 | 北京奇艺世纪科技有限公司 | Method, device, system and storage medium for establishing feature database and identifying actions |
| CN110784980A (en) * | 2019-10-28 | 2020-02-11 | 星络智能科技有限公司 | Life scene-based light configuration method, server and storage medium |
| CN114140777A (en) * | 2021-12-06 | 2022-03-04 | 南威软件股份有限公司 | Historical building feature protection early warning method, device and medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101567159A (en) * | 2009-06-10 | 2009-10-28 | 北京豪仪测控工程有限公司 | Navigation method based on image identification technology and navigation apparatus |
| WO2012091326A2 (en) * | 2010-12-29 | 2012-07-05 | 건아정보기술 주식회사 | Three-dimensional real-time street view system using distinct identification information |
| CN103778261A (en) * | 2014-03-04 | 2014-05-07 | 福建瑞恒信息技术有限公司 | Self-guided tour method based on mobile cloud computing image recognition |
| CN105243142A (en) * | 2015-10-10 | 2016-01-13 | 安徽尚舟电子科技有限公司 | Intelligent information push method based on augmented reality and visual computation |
-
2017
- 2017-06-27 CN CN201710499038.1A patent/CN107066635A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101567159A (en) * | 2009-06-10 | 2009-10-28 | 北京豪仪测控工程有限公司 | Navigation method based on image identification technology and navigation apparatus |
| WO2012091326A2 (en) * | 2010-12-29 | 2012-07-05 | 건아정보기술 주식회사 | Three-dimensional real-time street view system using distinct identification information |
| CN103778261A (en) * | 2014-03-04 | 2014-05-07 | 福建瑞恒信息技术有限公司 | Self-guided tour method based on mobile cloud computing image recognition |
| CN105243142A (en) * | 2015-10-10 | 2016-01-13 | 安徽尚舟电子科技有限公司 | Intelligent information push method based on augmented reality and visual computation |
Non-Patent Citations (1)
| Title |
|---|
| 严雷;杨晓刚;郭鸿飞;陈靖;: "结合图像识别的移动增强现实系统设计与应用", 中国图象图形学报 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108804486A (en) * | 2017-09-01 | 2018-11-13 | 北京视联动力国际信息技术有限公司 | A kind of image-recognizing method and device |
| CN107728176A (en) * | 2017-09-27 | 2018-02-23 | 广西南宁智翠科技咨询有限公司 | A kind of mobile base station searches navigation system |
| CN109034151A (en) * | 2018-06-27 | 2018-12-18 | 华中科技大学 | A kind of localization method for the identification of multiple pointer instruments |
| CN109034008A (en) * | 2018-07-06 | 2018-12-18 | 合肥安华信息科技有限公司 | A kind of show ground management system based on feature identification |
| CN109886191A (en) * | 2019-02-20 | 2019-06-14 | 上海昊沧系统控制技术有限责任公司 | A kind of identification property management reason method and system based on AR |
| CN110705605A (en) * | 2019-09-11 | 2020-01-17 | 北京奇艺世纪科技有限公司 | Method, device, system and storage medium for establishing feature database and identifying actions |
| CN110705605B (en) * | 2019-09-11 | 2022-05-10 | 北京奇艺世纪科技有限公司 | Method, device, system and storage medium for establishing feature database and identifying actions |
| CN110784980A (en) * | 2019-10-28 | 2020-02-11 | 星络智能科技有限公司 | Life scene-based light configuration method, server and storage medium |
| CN114140777A (en) * | 2021-12-06 | 2022-03-04 | 南威软件股份有限公司 | Historical building feature protection early warning method, device and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107066635A (en) | A kind of method and system of the architecture information guide to visitors recognized based on image comparison | |
| CN207198847U (en) | A kind of system of the architecture information guide to visitors based on image comparison identification | |
| CN110221690B (en) | Gesture interaction method and device based on AR scene, storage medium and communication terminal | |
| CN108388882B (en) | Gesture recognition method based on global-local RGB-D multi-mode | |
| CN108537191B (en) | Three-dimensional face recognition method based on structured light camera | |
| CN109582880B (en) | Interest point information processing method, device, terminal and storage medium | |
| CN111460967B (en) | Illegal building identification method, device, equipment and storage medium | |
| EP4105600A2 (en) | Method for automatically producing map data, related apparatus and computer program product | |
| CN109492066B (en) | Method, device, equipment and storage medium for determining branch names of points of interest | |
| CN109948477A (en) | Method for extracting road network topology points in picture | |
| CN111324679A (en) | Method, device and system for processing address information | |
| CN114998744B (en) | Agricultural machinery track field dividing method and device based on motion and vision dual-feature fusion | |
| CN111795688B (en) | Library navigation system implementation method based on deep learning and augmented reality | |
| CN111985367A (en) | Pedestrian re-recognition feature extraction method based on multi-scale feature fusion | |
| CN115984603A (en) | Fine classification method and system for urban green land based on GF-2 and open map data | |
| KR100976138B1 (en) | Method, system and computer-readable recording medium for matching building image hierarchically | |
| CN111324616A (en) | Method, device and equipment for detecting lane line change information | |
| CN110609879A (en) | Interest point duplicate determination method and device, computer equipment and storage medium | |
| CN111862030A (en) | Face synthetic image detection method and device, electronic equipment and storage medium | |
| CN115661522A (en) | Vehicle guiding method, system, equipment and medium based on visual semantic vector | |
| CN111428093A (en) | Entity alignment-based visual map fusion method and system | |
| CN114111813A (en) | High-precision map element updating method and device, electronic equipment and storage medium | |
| KR20220027000A (en) | Method and device for extracting spatial relationship of geographic location points | |
| CN113033386A (en) | High-resolution remote sensing image-based transmission line channel hidden danger identification method and system | |
| CN108345688B (en) | Digital translation and application method for city design |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170818 |