CN105865326A - Object size measurement method and image database data acquisition method - Google Patents
Object size measurement method and image database data acquisition method Download PDFInfo
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- CN105865326A CN105865326A CN201510029366.6A CN201510029366A CN105865326A CN 105865326 A CN105865326 A CN 105865326A CN 201510029366 A CN201510029366 A CN 201510029366A CN 105865326 A CN105865326 A CN 105865326A
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Abstract
The invention discloses an object size measurement method. A calibration object is placed near a target object, pixel sizes of the target object and the calibration object are calculated, the actual size of the target object is calculated, no measurement tool is needed, and the external size of a general object can be quickly and accurately measured. Meanwhile, the invention also discloses an image database data acquisition method based on the object size measurement method. When a database comprising a target object image sample and the size of the target object is built, automatic database construction can be realized, that is, the target object image sample and the size can be obtained at the same time at one time through photographing, corresponding database construction is realized, and compared with manual recording, the method of the invention is labor-saving and time-saving, and is less error-prone.
Description
Technical field
The present invention relates to data collecting field, particularly relate to a kind of full size measuring method and a kind of picture number
According to database data acquisition method.
Background technology
In image recognition based on content and augmented reality field, it usually needs gather view data in advance
Setting up image data base, Normal practice is warehouse-in of taking pictures the target needing collection one by one, the need to
Other parameters of target are added in data base, such as size, size etc., it usually needs manually measure,
Then manual coupling photo typing, manual measurement and typing work seem the heaviest, and manually easily make mistakes.
In terms of dimension of object measurement, prior art has the research for large-sized object size, such as: " teacher
Drizzly, Han Yan, Wang Jian etc. the method for three-dimensional measurement research of large-sized object size based on image, calculate
Machine is measured and controls, 2011019 (10): 2351-2353 ", the large-sized object size mentioned in this article
During measurement, need to find calibrating template, then manual measurement calibration mold board foot from object self adaptation up itself
Very little, often to measure an object, then need manual measurement calibrating template once, the method is used for large-sized object chi
Amount no problem, but if be applied to the measurement of a large amount of common objects, then the most directly measure more numerous and diverse than artificial,
And for target measurement thing surface without the object of marked feature, it does not possess and finds self-adapting calibration template
Possibility, therefore the method range is limited.
Summary of the invention
It is an object of the invention to provide a kind of full size measuring method, it is not necessary to survey tool, it is possible to quickly,
The accurate external dimensions measuring general object；And the present invention also provides for a kind of image data base data acquisition side
Method, is mainly used in gathering object image and sized data, is particularly well-suited to set up special image data storehouse.
In order to realize foregoing invention purpose, the invention provides a kind of full size measuring method, including: will
Demarcation thing with calibration maps is placed near target object；Calibration maps and target object is comprised with video camera shooting
Scene image；Object is carried out contour detecting, calculates target object picture in video camera shooting image
Element size；The scene image of video camera shooting is carried out feature detection, and it is registrated with template image,
Calculating homography matrix, described template image is the warehouse-in image of described calibration maps；According to homography matrix,
The summit of template image is mapped under the coordinate system of camera review, calculates calibration maps at video camera shooting figure
Pixel Dimensions in Xiang；Actual size according to calibration maps and target object, calibration maps shoot at video camera
Pixel Dimensions in image, calculates the actual size of target object.
Wherein, described method also includes: calibration maps warehouse-in is become template image, template image is carried out spy
Levy detection, set up feature description.
Preferably, before object is carried out contour detecting, also include: whether detection user shows at video camera
Show that picture upper ledge selects target area；The most then with frame favored area as starting point, carry out actively Contour searching, look for
Profile to target object.
Preferably, if Contour searching is unsuccessful, then the Pixel Dimensions of the target area selected by subscriber frame is as mesh
Mark object Pixel Dimensions in video camera shooting image.
Preferably, one or more during described size includes width, height, Diagonal Dimension.
Preferably, the subimage of apex region is carried out sub-pix optimization, choose three groups of coordinates that error is less
Calculate calibration maps Pixel Dimensions in video camera shooting image.
Accordingly, the present invention also provides for a kind of full size measuring method, including: by the mark with calibration maps
Earnest is placed near target object；The scene image of calibration maps and target object is comprised with video camera shooting；Right
The scene image of video camera shooting carries out feature detection, and it is registrated with template image, calculates single answering
Property matrix, described template image is the warehouse-in image of described calibration maps；According to homography matrix, by Prototype drawing
The summit of picture is mapped under the coordinate system of camera review, calculates calibration maps picture in video camera shooting image
Element size；Detection user is the target object region of institute's frame choosing on video camera display picture, by frame favored area
Pixel Dimensions as target object video camera shooting image in Pixel Dimensions；Actual chi according to calibration maps
Very little and target object, the calibration maps Pixel Dimensions in video camera shooting image, calculates the reality of target object
Border size.
Wherein, described method also includes: calibration maps warehouse-in is become template image, template image is carried out spy
Levy detection, set up feature description.
Accordingly, the present invention also provides for a kind of full size measuring method, including: by the demarcation of known dimensions
Thing is placed near target object；The scene image demarcating thing with target object is comprised with video camera shooting；To mark
Earnest and target object all carry out contour detecting, and calculate demarcation thing and target object shoots image at video camera
In Pixel Dimensions；Actual size and target object, demarcation thing according to demarcation thing shoot at video camera and scheme
Pixel Dimensions in Xiang, calculates the actual size of target object.
Preferably, before demarcation thing and target object are carried out contour detecting, also include: prompting user is taking the photograph
Thing and target object region are demarcated in camera display picture upper ledge choosing, and carry out drivewheel according to subscriber frame favored area
Wide search, obtains demarcating thing and the profile of target object.
Accordingly, the present invention also provides for a kind of image data base collecting method, including: use above-mentioned
A kind of method of anticipating calculates the actual size of object；During object actual size calculates, according to profile
Testing result or subscriber frame favored area, by object image zooming-out out；By object image and actual chi thereof
Very little data one_to_one corresponding is stored in image data base.
Compared with prior art, there is advantages that
Full size measuring method the most of the present invention, it is not necessary to survey tool, it is possible to measure general fast, accurately
The external dimensions of object；
Full size measuring method the most of the present invention is applied in image data base collecting method so that building
When standing the data base comprising object image pattern and object size, it is possible to achieve automatization puts in storage, the most logical
Cross the disposable also correspondence that object image pattern and size simultaneously obtained of shooting to put in storage, compared to artificial record
Enter, time saving and energy saving and the most error-prone.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to enforcement
In example or description of the prior art, the required accompanying drawing used is briefly described, it should be apparent that, describe below
In accompanying drawing be only some embodiments of the present invention, for those of ordinary skill in the art, do not paying
On the premise of going out creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings:
Fig. 1 is the embodiment of the present invention one full size measuring method schematic flow sheet；
Fig. 2 is the embodiment of the present invention two full size measuring method schematic flow sheet；
Fig. 3 is the embodiment of the present invention three full size measuring method schematic flow sheet；
Fig. 4 is the embodiment of the present invention four full size measuring method schematic flow sheet；
Fig. 5 is the embodiment of the present invention five full size measuring method schematic flow sheet.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clearly
Chu, be fully described by, it is clear that described embodiment be only a part of embodiment of the present invention rather than
Whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creation
The every other embodiment obtained under property work premise, broadly falls into the scope of protection of the invention.
Template image of the present invention: refer to, for the image identified, herein refer to digital picture, be stored in system,
It it is the warehouse-in image of calibration maps；
Calibration maps of the present invention: can be understood as the picture that template image prints, prints or is posted in
Rigid plane body surface forms one of which and demarcates thing.
Seeing Fig. 1, for the embodiment of the present invention one full size measuring method schematic flow sheet, the present embodiment is real
Thing dimension measurement method comprises the steps:
S101: be placed near target object by the demarcation thing with calibration maps, makes object and calibration maps permissible
Being concurrently placed in camera coverage, calibration maps actual size can be stored in system after dipstick metering；
S102: comprise the scene image of calibration maps and target object with video camera shooting；
S103: object carries out contour detecting, calculates target object pixel in video camera shooting image
Size；
S104: the scene image of video camera shooting is carried out feature detection, and it is joined with template image
Standard, calculates homography matrix, and described template image is the warehouse-in image of described calibration maps, is calculating homography
During matrix, calibration maps can be carried out real-time tracking, update homography matrix, improve the real-time of system；?
In this step, if present frame picture registration is unsuccessful, continuation next frame image carries out image detection and registration,
Until registrating successfully；
S105: according to homography matrix, is mapped to the summit of template image under the coordinate system of camera review,
Calculate calibration maps Pixel Dimensions in video camera shooting image；Such as: when template image is tetragon,
The four of template image summits can be mapped under the coordinate system of video camera shooting image, calculation template picture
Wide high Pixel Dimensions；In this step, in order to make result of calculation more accurate, can be by the subgraph of apex region
As carrying out sub-pix optimization, choose three groups of less coordinates of error and calculate calibration maps in video camera shooting image
Pixel Dimensions.
S106: actual size and target object, calibration maps according to calibration maps are in video camera shooting image
Pixel Dimensions, calculate target object actual size, in the embodiment of the present invention, described size include width,
One or more in height, Diagonal Dimension.
Assume that calibration maps actual size width high score is respectively as follows:WithCalibration maps shoots image at video camera
In wide and high Pixel Dimensions be respectivelyWithTarget object video camera shooting image in width and height
Pixel Dimensions is respectivelyWithThen the actual size of target object is:
The present embodiment method needs in advance calibration maps warehouse-in to be become template image, and template image is carried out feature
Detection, sets up feature description, carries out image registration in step S104.In the present embodiment, step S104
Interchangeable with S103 order, it is also possible to carry out simultaneously.
See Fig. 2, for the embodiment of the present invention two full size measuring method schematic flow sheet, embodiment two with
Embodiment one difference is: before object is carried out contour detecting, also include: whether detection user is taking the photograph
Camera display picture upper ledge selects target area, the most then with frame favored area as starting point, carry out actively profile and search
Rope, finds the profile of target object.It is presented as the most in fig. 2: before step S103, also includes step
Rapid S107." with frame favored area as starting point, carry out actively Contour searching " described in the present embodiment refers to when using
After family frame selects a region, it is initial with frame border, searches in frame or outside frame, such as: decision block is relatively big,
Just start to search in frame profile from frame border；If frame is little, start from frame border to search for profile to frame,
Frame border is the starting point of search.So the benefit of search is hunting zone to be limited to certain area, carry
Rise search speed and accuracy.
As embodiment one, in embodiment two, S102 sequence of steps below can be exchanged, such as:
Can determine after user has and carry out the choosing input of target area frame in step S107, then carry out step S104,
Such as the position of S107 in Fig. 3；Can also be after S104 has performed, then perform S107, i.e. work as image registration
After success, then receive subscriber frame choosing input.
See Fig. 3, for the embodiment of the present invention three full size measuring method schematic flow sheet, embodiment three with
Embodiment two difference is: embodiment three adds a kind of alternative calculating target for contour detecting is unsuccessful
Object pixel size, sees the S1031 step of Fig. 3, it may be assumed that when Contour searching is unsuccessful, then by user
Frame choosing target area Pixel Dimensions as target object video camera shooting image in Pixel Dimensions.This
Although kind of a mode may have certain error, but according to user habit, after being typically based on training, can be more
Accurately by object at video camera display picture upper ledge out, require it is not the highest in accuracy to size
Situation, can meet demand completely.
Seeing Fig. 4, for the embodiment of the present invention four full size measuring method schematic flow sheet, the present embodiment is real
Thing dimension measurement method, including:
S201: the demarcation thing with calibration maps is placed near target object；
S202: comprise the scene image of calibration maps and target object with video camera shooting；
S203: the scene image of video camera shooting is carried out feature detection, and it is joined with template image
Standard, calculates homography matrix, and described template image is the warehouse-in image of described calibration maps, therefore joins at image
Before standard, need calibration maps warehouse-in is become template image, template image is carried out feature detection, sets up feature
Describe；
S204: according to homography matrix, is mapped to the summit of template image under the coordinate system of camera review,
Calculate calibration maps Pixel Dimensions in video camera shooting image；
Whether S205: detection user selects target object region, if then entering at video camera display picture upper ledge
Step S206；
S206: using the Pixel Dimensions of frame favored area as target object video camera shooting image in pixel chi
Very little；
S207: actual size and target object, calibration maps according to calibration maps are in video camera shooting image
Pixel Dimensions, calculate target object actual size.
The each step of the present embodiment is the most all being described, and does not do too much repeating at this, and the present embodiment is to implement
The alternative that in example three, target object Pixel Dimensions calculates is picked out, and individually becomes a kind of scheme, this side
Although case may have certain error, but according to user habit, after being typically based on training, can be the most accurate
By object video camera display picture upper ledge out, accuracy to size require be not the highest feelings
Condition, can meet demand completely.Particularly when image data base data acquisition, it is all professional training personnel
Operating, the most this mode is feasible.
Seeing Fig. 5, for the embodiment of the present invention five full size measuring method schematic flow sheet, the method includes:
S301: the demarcation thing of known dimensions is placed near target object；
S302: comprise the scene image demarcating thing with target object with video camera shooting；
S303: judge whether user demarcates thing and target object region in video camera display picture upper ledge choosing, as
It is then to enter step S304 and S305；Before step S303, user operation for convenience, can point out
User demarcates thing and target object region in video camera display picture upper ledge choosing；
S304: carry out contour detecting to demarcating thing, and calculate the pixel demarcating thing in video camera shooting image
Size；
S305: target object is carried out contour detecting, and calculates target object in video camera shooting image
Pixel Dimensions；
S306: actual size and target object, demarcation thing according to demarcation thing are in video camera shooting image
Pixel Dimensions, calculate target object actual size.
The present embodiment step S303 is optional step, can determine object and demarcation by other means
Thing, as utilized image recognition mode.
Above-mentioned five embodiments are required to use video camera shooting image, owing to video camera shooting image may
It is distorted, in order to reduce error, after shooting image can being carried out distortion correction, then carries out subsequent step,
Such as the inner parameter of shooting image video camera is carried out inverse mapping to image.
The practice size dipstick metering method that above five embodiments are introduced, is highly suitable for image data base and gathered
Cheng Zhong, gathers target object size, and therefore the present invention also proposed a kind of image data base collecting method,
Including: use any of the above-described kind of embodiment method to calculate the actual size of object；In object actual size
During calculating, according to contour detecting result or subscriber frame favored area, by object image zooming-out out；So
After object image and actual size data one_to_one corresponding thereof are stored in image data base.
The data base being built such that, is highly suitable for image recognition and augmented reality field, available
In showing the actual size of object to user, also can be used for other more need object actual size should
In with.
All features disclosed in this specification, or disclosed all methods or during step, except mutually
Beyond the feature repelled mutually and/or step, all can combine by any way.
Any feature disclosed in this specification (including any accessory claim, summary and accompanying drawing), removes
Non-specifically describes, all can be by other equivalences or have the alternative features of similar purpose and replaced.That is, unless
Narration especially, each feature is an example in a series of equivalence or similar characteristics.
The invention is not limited in aforesaid detailed description of the invention.The present invention expand to any in this manual
Disclose new feature or any new combination, and disclose arbitrary new method or the step of process or any
New combination.
Claims (11)
1. a full size measuring method, it is characterised in that including:
Demarcation thing with calibration maps is placed near target object；
The scene image of calibration maps and target object is comprised with video camera shooting；
Object is carried out contour detecting, calculates target object Pixel Dimensions in video camera shooting image；
The scene image of video camera shooting is carried out feature detection, and it is registrated with template image, meter
Calculating homography matrix, described template image is the warehouse-in image of described calibration maps；
According to homography matrix, the summit of template image is mapped under the coordinate system of camera review, calculates
Calibration maps Pixel Dimensions in video camera shooting image；
Actual size according to calibration maps and target object, calibration maps pixel in video camera shooting image
Size, calculates the actual size of target object.
2. the method for claim 1, it is characterised in that described method also includes: calibration maps entered
Kucheng is template image, template image is carried out feature detection, sets up feature description.
3. method as claimed in claim 2, it is characterised in that before object is carried out contour detecting,
Also include:
Whether detection user selects target area at video camera display picture upper ledge；
The most then with frame favored area as starting point, carry out actively Contour searching, find the profile of target object.
4. method as claimed in claim 3, it is characterised in that if Contour searching is unsuccessful, then by user
Frame choosing target area Pixel Dimensions as target object video camera shooting image in Pixel Dimensions.
5. such as method that power requires as described in 1 to 4 any one, it is characterised in that described size include width, height,
One or more in Diagonal Dimension.
6. require the method as described in 1 to 4 any one such as power, it is characterised in that by the subimage of apex region
Carry out sub-pix optimization, choose three groups of less coordinates of error and calculate calibration maps in video camera shooting image
Pixel Dimensions.
7. a full size measuring method, it is characterised in that including:
Demarcation thing with calibration maps is placed near target object；
The scene image of calibration maps and target object is comprised with video camera shooting；
The scene image of video camera shooting is carried out feature detection, and it is registrated with template image, meter
Calculating homography matrix, described template image is the warehouse-in image of described calibration maps；
According to homography matrix, the summit of template image is mapped under the coordinate system of camera review, calculates
Calibration maps Pixel Dimensions in video camera shooting image；
Detection user is the target object region of institute's frame choosing on video camera display picture, by the pixel of frame favored area
Size as target object video camera shooting image in Pixel Dimensions；
Actual size according to calibration maps and target object, calibration maps pixel in video camera shooting image
Size, calculates the actual size of target object.
8. method as claimed in claim 7, it is characterised in that described method also includes: calibration maps entered
Kucheng is template image, template image is carried out feature detection, sets up feature description.
9. a full size measuring method, it is characterised in that including:
The demarcation thing of known dimensions is placed near target object；
The scene image demarcating thing with target object is comprised with video camera shooting；
Demarcation thing and target object are all carried out contour detecting, and calculates demarcation thing and target object at video camera
Pixel Dimensions in shooting image；
According to actual size and target object, the demarcation thing pixel in video camera shooting image of demarcating thing
Size, calculates the actual size of target object.
10. method as claimed in claim 9, it is characterised in that demarcation thing and target object are being carried out
Before contour detecting, also include:
Prompting user demarcates thing and target object region in video camera display picture upper ledge choosing, and according to subscriber frame
Favored area carries out actively Contour searching, obtains demarcating thing and the profile of target object.
11. 1 kinds of image data base collecting methods, it is characterised in that including:
The method according to any one of claim 1 to 9 is used to calculate the actual size of object；
During object actual size calculates, according to contour detecting result or subscriber frame favored area, by mesh
Mark personal image extraction is out；
Object image and actual size data one_to_one corresponding thereof are stored in image data base.
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