CN106354869A - Real-scene image processing method and server based on location information and time periods - Google Patents
Real-scene image processing method and server based on location information and time periods Download PDFInfo
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- CN106354869A CN106354869A CN201610822758.2A CN201610822758A CN106354869A CN 106354869 A CN106354869 A CN 106354869A CN 201610822758 A CN201610822758 A CN 201610822758A CN 106354869 A CN106354869 A CN 106354869A
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- 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
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- 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
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
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- 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
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Abstract
The invention discloses a real-scene image processing method and server based on location information and time periods. The method comprises steps as follows: a real-scene image of a target object is shot, geographical location information of a shooting place is acquired, the geographical location information is firstly sent to the server, if a user inquires that an initialized data base associated with the geographical location information exists in the server, the real-scene image of the target object is sent to the server, then whether a preset image matched with the real-scene image exists in the initialized data base is recognized, if the preset image exists, a preset model associated with the preset image is selected from the initialized data base according to the time period of the current time, the selected preset model is overlaid on the real-scene image, and a final processed real-scene image is obtained. According to the method and the server, the information feedback speed is high, and small hardware resources are occupied; the preset model is enabled to reappear in the real-scene image realistically, and the preset models overlaid in different time periods are different, so that the use experience of the user is better.
Description
Technical field
The present invention relates to image processing field, processed based on the real scene image of positional information and time period particularly to a kind of
Method and its server.
Background technology
With the popularization of network, some scenery of user (building, retail shop etc.) is interested, and wants to know about this scenery and be
No containing hiding relevant information it will usually search relevant information online, but because network information amount is very big, to user
Accurately obtaining related information makes troubles.
At present, user can shoot the image of scenery interested, and by image recognition application, the image shooting is carried out
Identification, then the result according to identification, feeds back to user-dependent information, to improve the accuracy obtaining relevant information.But
By the way of image recognition obtains corresponding information, the speed of feedback of the information is slow, takies hardware resource greatly, makes the use of user
Experience is very poor.
Content of the invention
It is an object of the invention to: overcome by the way of image recognition obtains corresponding information, the speed of feedback of the information
Slowly, take hardware resource big, make the very poor problem of the experience of user.
In order to realize foregoing invention purpose, the present invention provides a kind of real scene image process based on positional information and time period
Method, it comprises the following steps,
S1: the real scene image of photographic subjects thing simultaneously obtains the geographical location information of spot for photography；
S2: described geographical location information is sent to server, and inquire about whether have in described server with described
The initialized data base that reason positional information is associated, if having described initialized data base, continuing step s3, otherwise directly terminating；
S3: the real scene image of object is sent to described server, identify whether have in described initialized data base with
The prediction picture that described real scene image matches, if having described prediction picture, continuing step s4, otherwise directly terminating；
S4: the time period being located according to current time, choose in described initialized data base and be associated with described prediction picture
Preset model, and by choose described preset model be superimposed upon on described real scene image, obtain the realistic picture after final process
Picture.
According to a kind of specific embodiment, in s3, calculate the institute in described real scene image and described initialized data base
State the matching degree between prediction picture, if matching degree reaches setting value, have in described initialized data base and described realistic picture
As the described prediction picture matching.
According to a kind of specific embodiment, on a time period, the preset model in described initialized data base is divided,
The each of which time period corresponds to several preset model, and the time period according to residing for current time, by the described time
The corresponding preset model setting of section can choose state, and the preset model of remaining time period is set to not choose state.
According to a kind of specific embodiment, associate described preset model and described prediction picture in advance, and preserve described
Position data, sized data and the angle-data that preset model is superimposed upon in described prediction picture is basic superposition parameter；
In s4, calculate the proportionate relationship of the position, size and angle between described real scene image and described prediction picture,
And according to described proportionate relationship, correspondingly adjust described basic superposition parameter, obtain for described preset model being superimposed upon described reality
Superposition parameter on scape image, thus according to described superposition parameter, described preset model is superimposed upon on described real scene image.
Based on same inventive concept, the present invention also provides a kind of real scene image based on positional information and time period to process
Server, it is used for setting up initialized data base, and by the described initialized data base set up and corresponding geographical location information phase
Association, wherein, described initialized data base includes prediction picture and preset model, and prediction picture is associated with preset model,
And the geographical location information that receiving terminal is uploaded, and inquire about whether have preset with what described geographical location information was associated
Data base, and receive the real scene image that described terminal uploads, and identify the mesh whether having in described initialized data base and uploading
The prediction picture that the real scene image of mark thing matches, if having the described prediction picture matching with described real scene image, root
The time period being located according to current time, choose the preset model being associated in described initialized data base with described prediction picture, and
The described preset model chosen is superimposed upon on described real scene image, obtains the real scene image after final process.
According to a kind of specific embodiment, described server calculates it and receives real scene image and the institute that described terminal uploads
State the matching degree between the described prediction picture in initialized data base, if matching degree reaches setting value, described initialized data base
In be there is the described prediction picture being matched with described real scene image.
According to a kind of specific embodiment, described server on a time period, to the preset mould in described initialized data base
Type is divided, and each of which time period corresponds to several preset model, and the time period according to residing for current time,
Corresponding for the described time period preset model is arranged and can choose state, and the preset model of remaining time period is set to not choose
State.
According to a kind of specific embodiment, when described server sets up described initialized data base, associate described pre- in advance
Put model and described prediction picture, and preserve position data, the size number that described preset model is superimposed upon in described prediction picture
According to and angle-data；And, the position between the described server described real scene image of calculating and described prediction picture, size and angle
The proportionate relationship of degree, and according to described proportionate relationship, correspondingly adjust described basic superposition parameter, obtain described preset model
It is superimposed upon the superposition parameter on described real scene image, thus according to described superposition parameter, described preset model is superimposed upon described
On real scene image.
Compared with prior art, beneficial effects of the present invention: the real scene image based on positional information and time period for the present invention
Processing method is passed through the real scene image of photographic subjects thing and is obtained the geographical location information of spot for photography, first by geographical location information
Send to server, and inquire about in server whether be there is the initialized data base being associated with geographical location information, if having,
Again the real scene image of object is sent to server, then whether have in identification initialized data base and match with real scene image
Prediction picture, if having the prediction picture matching, according to current time be located time period, choose initialized data base in
The preset model being associated with prediction picture, and the preset model chosen is superimposed upon on real scene image, after obtaining final process
Real scene image.The speed of feedback of the information of the present invention is fast, and occupancy hardware resource is little, is realistically reappeared in reality by making preset model
In scape image, and the preset model that different time sections are superimposed is variant, makes the experience of user more preferable.
On the other hand, the server that the present invention is processed based on the real scene image of positional information and time period, can be pre- by it
Put the preset model in data base and realistically reappear in real scene image, the preset model that different time sections are superimposed is variant,
Make the experience of user more preferable, and be not take up the excessive hardware resource of terminal, the speed of feedback of the information is fast.
Brief description:
Fig. 1 is the schematic flow sheet of the inventive method；
Fig. 2 is operating diagram of the present invention.
1- intelligent terminal, 2- server.
Specific embodiment
With reference to specific embodiment, the present invention is described in further detail.But this should not be interpreted as the present invention
The scope of above-mentioned theme is only limitted to below example, all models belonging to the present invention based on the technology that present invention is realized
Enclose.
The schematic flow sheet of the inventive method as shown in Figure 1；Wherein, the reality based on positional information and time period for the present invention
Scape image processing method it is characterised in that comprising the following steps,
S1: the real scene image of photographic subjects thing simultaneously obtains the geographical location information of spot for photography.
S2: geographical location information is sent to server, and inquires about and whether have in server and geographical location information phase
The initialized data base of association, if having initialized data base, continuing step s3, otherwise directly terminating.
S3: the real scene image of object is sent to server, identifies in initialized data base whether have and real scene image
The prediction picture matching, if having prediction picture, continuing step s4, otherwise directly terminating.
S4: the time period being located according to current time, choose the preset mould being associated in initialized data base with prediction picture
Type, and the preset model chosen is superimposed upon on real scene image, obtain the real scene image after final process.
Specifically, in s3, calculate the matching degree between the prediction picture in real scene image and initialized data base, if coupling
Degree reaches setting value, then have the prediction picture matching with real scene image in initialized data base.
The present invention uses template matching algorithm in s3, is that different sensors or same sensor can be existed by one kind
Different time, under different image-forming conditions, to same scenery, two width obtaining or multiple image are spatially registering, or according to
Know that pattern need to look for the processing method of corresponding modes to another width in figure.
When implementing, with prediction picture as template, calculate the matching degree between real scene image and prediction picture, right matching degree
Reach setting value, then target real scene image and template matching.
In the present invention, when setting up initialized data base, on a time period, the preset model in initialized data base is carried out drawing
Point, each of which time period corresponds to several preset model, and the time period according to residing for current time, by the time period
Corresponding preset model setting can choose state, and the preset model of remaining time period is set to not choose state.
Specifically, the present invention, when setting up initialized data base, also associates preset model and prediction picture in advance, and preserves pre-
Putting position data, sized data and the angle-data that model is superimposed upon in prediction picture is basic superposition parameter.
And in s4, the proportionate relationship of position, size and angle between calculating real scene image and prediction picture, and root
According to proportionate relationship, correspondingly adjust basic superposition parameter, obtain the superposition parameter preset model being superimposed upon on real scene image, from
And according to superposition parameter, preset model is superimposed upon on real scene image.
Because the initialized data base corresponding to specific geographic position is limited, the present invention pass through by geographical location information with
Initialized data base is associated, and in query script, decreases the quantity comparing sample, accelerate outdoor scene and prediction picture compare and
The speed of association.
And, the prediction picture in initialized data base of the present invention associates in advance with preset model, and preserves preset model
It is superimposed upon the basic superposition parameter in prediction picture, in the proportionate relationship by calculating real scene image and prediction picture, Jin Eryi
According to this proportionate relationship and basic superposition parameter, obtain the superposition parameter that preset model is superimposed upon on real scene image, scheme superimposed place
Reason speed faster, and, the preset model of superposition can accurately assume dummy object visual angle, the depth of field and the pass with outdoor scene
System, the preset model that different time sections are superimposed simultaneously is variant, makes user have more preferable experience.
The mode obtaining geographical location information in the present invention includes the positioning based on gps and the positioning based on base station etc..
In conjunction with the operating diagram of the present invention shown in Fig. 2；Before this, setting up the initialized data base corresponding to so-and-so general merchandise
When, according to the requirement of so-and-so general merchandise, in the daily 18:00～20:00 of September, it is superimposed the associated reset model of digital product.
Therefore, when user is in 19:00, it is outside the building of so-and-so general merchandise using the scenery that intelligent terminal 1 (mobile phone) shoots
Scape, user shoots the real scene image in building by intelligent terminal 1, and the screen in the intelligent terminal 1 of user displays that this is big simultaneously
Building corresponding outdoor scene picture.In this process, the real scene image of a certain frame in acquisition shooting process, and current shooting
Geographical location information.Then intelligent terminal 1 is sent geographical location information to server 2 by wireless network.
Then server 2 inquiry its there is the initialized data base that so-and-so general merchandise is associated, and recognize this preset data
Be there is in storehouse the prediction picture being matched with this real scene image, then server 2 calculates this real scene image and this prediction picture
Proportionate relationship, then according to this proportionate relationship and basic superposition parameter, obtain the superposition ginseng that preset model is superimposed upon on real scene image
Number, the associated reset model of digital product is superimposed upon on real scene image the most at last.
Wherein, the preset model being associated with prediction picture in initialized data base is mainly view data, partly forgives
The data such as sound, video, in the above-described embodiments, preset model includes hot item image information and business in department store
Paving sales promotion information etc..
Based on same inventive concept, the present invention also provides a kind of real scene image based on positional information and time period to process
Server, wherein, the server of the present invention, be used for setting up initialized data base, and by the initialized data base set up with corresponding
Geographical location information is associated, and wherein, initialized data base includes prediction picture and preset model, and prediction picture and preset mould
Whether type is associated, and the geographical location information that receiving terminal is uploaded, and inquire about to have and be associated with geographical location information
Initialized data base, and receiving terminal upload real scene image, and identify whether have in initialized data base with upload target
The prediction picture that the real scene image of thing matches, if having the prediction picture matching with real scene image, according to current time
The time period being located, choose the preset model being associated with prediction picture in initialized data base, and the preset model chosen is folded
It is added on real scene image, obtain the real scene image after final process.
Specifically, server calculates between the prediction picture in the real scene image and initialized data base of the upload of its receiving terminal
Matching degree, if matching degree reaches setting value, be there is in initialized data base the prediction picture being matched with real scene image.
When implementing, server on a time period, divides to the preset model in initialized data base, during each of which
Between section correspond to several preset model, and time period according to residing for current time, by corresponding for the time period preset model
Setting can choose state, and the preset model of remaining time period is set to not choose state.
And, when server sets up initialized data base, associate preset model and prediction picture in advance, and save presets model
It is superimposed upon position data in prediction picture, sized data and angle-data；And, server calculates real scene image and preset figure
The proportionate relationship of position, size and angle between picture, and under a proportional relationship, correspondingly adjust basic superposition parameter, obtain
Preset model is superimposed upon the superposition parameter on real scene image, thus according to superposition parameter, preset model is superimposed upon realistic picture
As upper.
The server of the present invention is used for implementing the real scene image processing method based on positional information and time period for the present invention, belongs to
In same inventive concept, here is omitted.
Above in conjunction with accompanying drawing, the specific embodiment of the present invention is described in detail, but the present invention has been not restricted to
State embodiment, in the case of the spirit and scope without departing from claims hereof, those skilled in the art can make
Go out various modifications or retrofit.
Claims (8)
1. a kind of real scene image processing method based on positional information and time period is it is characterised in that comprise the following steps,
S1: the real scene image of photographic subjects thing simultaneously obtains the geographical location information of spot for photography；
S2: described geographical location information is sent to server, and inquire about whether have in described server and described geography position
The initialized data base of confidence manner of breathing association, if having described initialized data base, continuing step s3, otherwise directly terminating；
S3: the real scene image of object is sent to described server, identify whether have in described initialized data base with described
The prediction picture that real scene image matches, if having described prediction picture, continuing step s4, otherwise directly terminating；
S4: the time period being located according to current time, choose pre- with what described prediction picture was associated in described initialized data base
Put model, and the described preset model chosen is superimposed upon on described real scene image, obtain the real scene image after final process.
2. the real scene image processing method based on positional information and time period as claimed in claim 1 is it is characterised in that in s3
In, calculate the matching degree between the described prediction picture in described real scene image and described initialized data base, if matching degree reaches
Setting value, then have the described prediction picture matching with described real scene image in described initialized data base.
3. the real scene image processing method based on positional information and time period as claimed in claim 1 is it is characterised in that on time
Between section, the preset model in described initialized data base is divided, each of which time period correspond to several preset mould
Type, and the time period according to residing for current time, corresponding for the described time period preset model is arranged and can choose state, and incite somebody to action
The preset model of remaining time period is set to not choose state.
4. the real scene image processing method based on positional information and time period as claimed in claim 3 is it is characterised in that in advance
Associate described preset model and described prediction picture, and preserve described preset model and be superimposed upon the positional number in described prediction picture
It is basic superposition parameter according to, sized data and angle-data；
In s4, calculate the proportionate relationship of the position, size and angle between described real scene image and described prediction picture, and root
According to described proportionate relationship, correspondingly adjust described basic superposition parameter, obtain for described preset model being superimposed upon described realistic picture
As upper superposition parameter, thus according to described superposition parameter, described preset model is superimposed upon on described real scene image.
5. a kind of server being processed based on the real scene image of positional information and time period, it is characterised in that described server, is used
In setting up initialized data base, and the described initialized data base set up is associated with corresponding geographical location information, wherein, institute
State initialized data base and include prediction picture and preset model, and prediction picture is associated with preset model, and receiving terminal
The geographical location information being uploaded, and inquire about whether be there is the initialized data base being associated with described geographical location information, and connect
Receive the real scene image that described terminal uploads, and identify the realistic picture whether having in described initialized data base with the object uploading
As the prediction picture matching, if having the described prediction picture matching with described real scene image, according to current time institute
Time period, choose the preset model that be associated with described prediction picture in described initialized data base, and will be described in selection
Preset model is superimposed upon on described real scene image, obtains the real scene image after final process.
6. the as claimed in claim 5 server being processed based on the real scene image of positional information and time period it is characterised in that
Described server calculate the described prediction picture that it receives in the real scene image that described terminal uploads and described initialized data base it
Between matching degree, if matching degree reaches setting value, be there is in described initialized data base the institute being matched with described real scene image
State prediction picture.
7. the as claimed in claim 5 server being processed based on the real scene image of positional information and time period it is characterised in that
Described server on a time period, divides to the preset model in described initialized data base, and each of which time period corresponds to
Several preset model, and the time period according to residing for current time, corresponding for the described time period preset model is arranged
State can be chosen, and the preset model of remaining time period is set to not choose state.
8. the as claimed in claim 7 server being processed based on the real scene image of positional information and time period it is characterised in that
When described server sets up described initialized data base, associate described preset model and described prediction picture in advance, and preserve described
Preset model is superimposed upon position data in described prediction picture, sized data and angle-data；And, described server calculates
The proportionate relationship of the position between described real scene image and described prediction picture, size and angle, and according to described proportionate relationship,
Correspondingly adjust described basic superposition parameter, obtain the superposition parameter described preset model being superimposed upon on described real scene image,
Thus according to described superposition parameter, described preset model is superimposed upon on described real scene image.
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Application publication date: 20170125 |