CN109858363A - A kind of detection method, device, system and the storage medium of dog noseprint characteristic point - Google Patents
A kind of detection method, device, system and the storage medium of dog noseprint characteristic point Download PDFInfo
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- CN109858363A CN109858363A CN201811625868.5A CN201811625868A CN109858363A CN 109858363 A CN109858363 A CN 109858363A CN 201811625868 A CN201811625868 A CN 201811625868A CN 109858363 A CN109858363 A CN 109858363A
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Abstract
The present invention provides detection method, device, system and the storage mediums of a kind of dog noseprint characteristic point.The detection method of the dog noseprint characteristic point includes: to obtain the grid deviation of dog noseprint characteristic point and corresponding each dog noseprint reference characteristic point in the dog nose image based on dog nose image and trained dog noseprint model；The coordinate of each dog noseprint characteristic point in the dog nose image is obtained according to the coordinate of each dog noseprint reference characteristic point and the grid deviation.According to the method for the present invention, device, system and storage medium can effectively improve accuracy and real-time and operating rate that dog noseprint characteristic point detects.
Description
Technical field
The present invention relates to technical field of image processing, relate more specifically to the processing of dog face image.
Background technique
Characteristic point mark largely influences image recognition, analyzes, searches as a very important step before image alignment
The overall performance of cable system.At present in the process of face recognition, there are many effective characteristic point mask methods, but for
The method of characteristic point mark in animal identification is considerably less in addition, calculating the number of time, complexity and characteristic point at just
Than characteristic point to be detected is more, and required detector is more, this makes it be difficult reality in the application of closeer characteristic point
It applies.
Therefore, lack the method preferably detected for dog face characteristic point, traditional characteristic point inspection in the prior art
Survey method is very big by subtle disturbing influence, be easy to cause and fails to report or report by mistake, so that accuracy and recall rate are low, while operational efficiency
It is not high.
Summary of the invention
The present invention is proposed in view of the above problem.The present invention provides a kind of detection method of dog noseprint characteristic point,
Device, system and computer storage medium return to obtain the seat of dog noseprint characteristic point by easy mask method binding model
Mark, can effectively improve the accuracy and real-time of the detection of dog noseprint characteristic point, and operational efficiency is high.
According to an aspect of the present invention, a kind of detection method of dog noseprint characteristic point is provided, comprising:
Based on dog nose image and trained dog noseprint model, obtain in the dog nose image dog noseprint characteristic point with
The grid deviation of corresponding each dog noseprint reference characteristic point；
Each dog noseprint in the dog nose image is obtained according to the coordinate of each dog noseprint reference characteristic point and the deviation
The coordinate of characteristic point.
Illustratively, the training of the dog noseprint model includes:
Characteristic point mark is carried out to the dog noseprint in dog noseprint training sample image based on pre-defined rule, and is obtained corresponding
The coordinate of the reference characteristic point of dog noseprint；
Calculate after mark the characteristic point of dog noseprint and the benchmark of the corresponding dog noseprint in dog noseprint training sample image
Grid deviation between characteristic point；
Dog noseprint training sample image and the corresponding coordinate after foundation mark deviate to the dog noseprint model
It is trained, obtains trained dog noseprint model.
Illustratively, the coordinate of the reference characteristic point for obtaining corresponding dog noseprint includes: to instruct to dog noseprint after mark
The coordinate for practicing the same characteristic point of dog noseprint in sample image is averaging, and obtains the corresponding dog noseprint reference characteristic point
Coordinate.
Illustratively, the pre-defined rule includes at least one of nostril profile based on the dog nose, nose profile
It is labeled.
Illustratively, it includes: mark dog nose central vertical line that the nose profile based on the dog nose, which carries out characteristic point mark,
Boundary joins at left and right sides of the characteristic point joined with two sides boundary above and below nose profile, dog nose central horizontal line and nose profile
Characteristic point.
Illustratively, the nose profile based on the dog nose carries out characteristic point mark further include: with dog nose center vertical
On the basis of the characteristic point that line and dog nose central horizontal line intersect with nose profile and border, characteristic point is equidistantly marked along nose profile.
Illustratively, it includes: mark left nose hole center vertical that the nostril profile based on the dog nose, which carries out characteristic point mark,
Line and left nose hole profile two sides boundary joins up and down characteristic point, left nose hole central horizontal line and left nose hole profile left and right sides
The characteristic point of boundary's handover；With
With
Mark right nostril central vertical line and edema with the heart involved in the right nostril profile characteristic point that two sides boundary joins up and down, right nostril
The characteristic point of boundary handover at left and right sides of horizontal line and right nostril profile.
Illustratively, the nostril profile based on the dog nose carries out characteristic point mark further include: with perpendicular with left nose hole center
On the basis of straight line and the characteristic point of left nose hole central horizontal line and left nose hole profile handover, along left nose hole, profile equidistantly marks feature
Point；With
On the basis of right nostril central vertical line and the characteristic point of right nostril central horizontal line and right nostril profile handover, edge
Right nostril profile equidistantly marks characteristic point.
According to a further aspect of the invention, a kind of detection device of dog noseprint characteristic point is provided, comprising:
Detection module, for obtaining in the dog nose image based on dog nose image and trained dog noseprint model
The grid deviation of dog noseprint characteristic point and corresponding each dog noseprint reference characteristic point；
Coordinate calculation module obtains described for the coordinate and the grid deviation according to each dog noseprint reference characteristic point
The coordinate of each dog noseprint characteristic point in dog nose image.
Illustratively, the training of the dog noseprint model includes:
Characteristic point mark is carried out to the dog noseprint in dog noseprint training sample image based on pre-defined rule, and is obtained corresponding
The coordinate of the reference characteristic point of dog noseprint；
Calculate after mark each characteristic point of dog noseprint and the corresponding dog noseprint in dog noseprint training sample image
Grid deviation between reference characteristic point；
Dog noseprint training sample image and the corresponding coordinate after foundation mark deviate to the dog noseprint model
It is trained, obtains trained dog noseprint model.
Illustratively, the coordinate of the reference characteristic point for obtaining corresponding dog noseprint includes: to instruct to dog noseprint after mark
The coordinate for practicing the same characteristic point of dog noseprint in sample image is averaging, and obtains the coordinate of the dog noseprint reference characteristic point.
Illustratively, the pre-defined rule includes at least one of nostril profile based on the dog nose, nose profile
It is labeled.
Illustratively, it includes: mark dog nose central vertical line that the nose profile based on the dog nose, which carries out characteristic point mark,
Boundary handover at left and right sides of characteristic point, dog nose central horizontal line and the nose profile joined with two sides boundary above and below nose profile
Characteristic point.
Illustratively, the nose profile based on the dog nose carries out characteristic point mark further include: with dog nose central vertical line
On the basis of the characteristic point intersected with dog nose central horizontal line with nose profile and border, characteristic point is equidistantly marked along nose profile.
Illustratively, it includes: mark left nose hole center vertical that the nostril profile based on the dog nose, which carries out characteristic point mark,
Line and left nose hole profile two sides boundary joins up and down characteristic point, left nose hole central horizontal line and left nose hole profile left and right sides
The characteristic point of boundary's handover；With characteristic point, the right side for marking the handover of right nostril central vertical line and right nostril profile or more two sides boundary
The characteristic point of boundary handover at left and right sides of nostril central horizontal line and right nostril profile.
Illustratively, the nostril profile based on the dog nose carries out characteristic point mark further include: with left nose hole center vertical
On the basis of line and the characteristic point of left nose hole central horizontal line and left nose hole profile handover, along left nose hole, profile equidistantly marks feature
Point；With
On the basis of right nostril central vertical line and the characteristic point of right nostril central horizontal line and right nostril profile handover, edge
Right nostril profile equidistantly marks characteristic point.
Illustratively, coordinate calculation module is further used for: dog noseprint reference characteristic point coordinate is inclined plus the coordinate
Difference obtains the coordinate of dog noseprint characteristic point in the dog nose image.
According to a further aspect of the invention, a kind of detection system of dog noseprint characteristic point, including memory, processor are provided
And it is stored in the computer program run on the memory and on the processor, which is characterized in that the processor is held
The step of realizing the above method when row computer program.
According to a further aspect of the invention, a kind of computer readable storage medium is provided, computer program is stored thereon with,
It is characterized in that, the step of realizing the above method when computer program is computer-executed.
Detection method, device, system and the computer storage medium of dog noseprint characteristic point according to an embodiment of the present invention are led to
It crosses easy mask method binding model to return to obtain the coordinate of dog noseprint characteristic point, dog noseprint characteristic point can be effectively improved
The accuracy and real-time of detection, operational efficiency are high.
Detailed description of the invention
The embodiment of the present invention is described in more detail in conjunction with the accompanying drawings, the above and other purposes of the present invention,
Feature and advantage will be apparent.Attached drawing is used to provide to further understand the embodiment of the present invention, and constitutes explanation
A part of book, is used to explain the present invention together with the embodiment of the present invention, is not construed as limiting the invention.In the accompanying drawings,
Identical reference label typically represents same parts or step.
Fig. 1 is the exemplary electron of the detection method and device for realizing dog noseprint characteristic point according to an embodiment of the present invention
The schematic block diagram of equipment；
Fig. 2 is the schematic flow chart of the detection method of dog noseprint characteristic point according to an embodiment of the present invention；
Fig. 3 is the example of the dog nose image of mark dog noseprint characteristic point according to an embodiment of the present invention；
Fig. 4 is the schematic block diagram of the detection device of dog noseprint characteristic point according to an embodiment of the present invention；
Fig. 5 is the schematic block diagram of the detection system of dog noseprint characteristic point according to an embodiment of the present invention.
Specific embodiment
In order to enable the object, technical solutions and advantages of the present invention become apparent, root is described in detail below with reference to accompanying drawings
According to example embodiments of the present invention.Obviously, described embodiment is only a part of the embodiments of the present invention, rather than this hair
Bright whole embodiments, it should be appreciated that the present invention is not limited by example embodiment described herein.Based on described in the present invention
The embodiment of the present invention, those skilled in the art's obtained all other embodiment in the case where not making the creative labor
It should all fall under the scope of the present invention.
Firstly, being described with reference to Figure 1 the detection method and device of the dog noseprint characteristic point for realizing the embodiment of the present invention
Exemplary electronic device 100.
As shown in Figure 1, electronic equipment 100 include one or more processors 101, it is one or more storage device 102, defeated
Enter device 103, output device 104, imaging sensor 105, the company that these components pass through bus system 106 and/or other forms
The interconnection of connection mechanism (not shown).It should be noted that the component and structure of electronic equipment 100 shown in FIG. 1 are only exemplary, rather than
Restrictive, as needed, the electronic equipment also can have other assemblies and structure.
The processor 101 can be central processing unit (CPU) or have data-handling capacity and/or instruction execution
The processing unit of the other forms of ability, and the other components that can control in the electronic equipment 100 are desired to execute
Function.
The storage device 102 may include one or more computer program products, and the computer program product can
To include various forms of computer readable storage mediums, such as volatile memory and/or nonvolatile memory.It is described easy
The property lost memory for example may include random access memory (RAM) and/or cache memory (cache) etc..It is described non-
Volatile memory for example may include read-only memory (ROM), hard disk, flash memory etc..In the computer readable storage medium
On can store one or more computer program instructions, processor 102 can run described program instruction, to realize hereafter institute
The client functionality (realized by processor) in the embodiment of the present invention stated and/or other desired functions.In the meter
Can also store various application programs and various data in calculation machine readable storage medium storing program for executing, for example, the application program use and/or
The various data etc. generated.
The input unit 103 can be the device that user is used to input instruction, and may include keyboard, mouse, wheat
One or more of gram wind and touch screen etc..
The output device 104 can export various information (such as image or sound) to external (such as user), and
It may include one or more of display, loudspeaker etc..
Described image sensor 105 can be shot the desired image of user (such as photo, video etc.), and will be captured
Image be stored in the storage device 102 for other components use.
Illustratively, for realizing the detection method of dog noseprint characteristic point according to an embodiment of the present invention and the example of device
Electronic equipment may be implemented as smart phone, tablet computer, video acquisition end of access control system etc..
The detection method 200 of dog noseprint characteristic point according to an embodiment of the present invention is described next, with reference to Fig. 2.
Firstly, based on dog nose image and trained dog noseprint model, obtaining the dog nose image in step S210
The grid deviation of middle dog noseprint characteristic point and corresponding each dog noseprint reference characteristic point；
In step S220, obtained according to each dog noseprint reference characteristic point and the grid deviation each in the dog nose image
The coordinate of a dog noseprint characteristic point.
Wherein, dog noseprint is similar to mankind's fingerprint, will not because of the time passage and influence the shape of lines, every can be become
The unique identifier of dog, so the mark of dog noseprint can be used as the data basis of subsequent identification.Each dog noseprint benchmark is special
Sign point was obtained in data from mixing for a large amount of identity, so it can indicate the benchmark of characteristic point, but it is specific not have characterization
The ability of identity, so only needing to establish regression model calculates dog noseprint characteristic point and each dog noseprint in every dog noseprint image
Grid deviation between reference characteristic point can be accurately obtained the coordinate of dog noseprint characteristic point in the dog noseprint image.With
It directlys adopt and is trained the detection model of foundation after a large amount of different dog noseprint image labeling dog noseprint characteristic points and compares, greatly
Reduce calculation amount, improve detection efficiency；Can also solve traditional characteristic point mark and detection method to illumination variation,
Attitudes vibration etc. is very sensitive, the bad problem of robustness.
Illustratively, the detection method of dog noseprint characteristic point according to an embodiment of the present invention can be with memory and place
It manages and is realized in the unit or system of device.
The detection method of dog noseprint characteristic point according to an embodiment of the present invention can be deployed at Image Acquisition end, for example,
The Image Acquisition end of access control system can be deployed in；It can be deployed at personal terminal, such as smart phone, tablet computer, a
People's computer etc..Alternatively, the detection method of dog noseprint characteristic point according to an embodiment of the present invention can also be deployed in being distributed
At server end (or cloud) and personal terminal.
The detection method of dog noseprint characteristic point according to an embodiment of the present invention is returned by easy mask method binding model
Return to obtain the coordinate of dog noseprint characteristic point, the accuracy and real-time of the detection of dog noseprint characteristic point, operation can be effectively improved
It is high-efficient.
According to embodiments of the present invention, step 210 can further include: the training of the dog noseprint model includes:
Characteristic point mark is carried out to the dog noseprint in dog noseprint training sample image based on pre-defined rule, and is obtained corresponding
The coordinate of the reference characteristic point of dog noseprint；
Calculate after mark each characteristic point of dog noseprint and the corresponding dog noseprint in dog noseprint training sample image
Grid deviation between reference characteristic point；
Dog noseprint training sample image and the corresponding coordinate after foundation mark deviate to the dog noseprint model
It is trained, obtains trained dog noseprint model.
Illustratively, the coordinate of the reference characteristic point for obtaining corresponding dog noseprint includes: to instruct to dog noseprint after mark
The coordinate for practicing the same characteristic point of dog noseprint in sample image is averaging, and obtains the coordinate of the dog noseprint reference characteristic point.
As previously mentioned, dog noseprint reference characteristic point was obtained from mixing in data for a large amount of identity, to indicate dog noseprint
The benchmark of characteristic point.For example, choosing the characteristic point mark that N dog nose images carry out dog noseprint in an identical manner, wherein every
Dog nose image labeling dog noseprint characteristic point n, N and n are natural number；The coordinate of so i-th dog noseprint reference characteristic point is then
For the average coordinates of all i-th of dog noseprint coordinates in the 1st to N dog nose image, i=1,2 ... ..., n.
Illustratively, the pre-defined rule includes at least one of nostril profile based on the dog nose, nose profile
It is labeled.
Illustratively, it includes: mark dog nose central vertical line that the nose profile based on the dog nose, which carries out characteristic point mark,
Boundary handover at left and right sides of characteristic point, dog nose central horizontal line and the nose profile joined with two sides boundary above and below nose profile
Characteristic point.
Illustratively, the nose profile based on the dog nose carries out characteristic point mark further include: with dog nose central vertical line
On the basis of the characteristic point intersected with dog nose central horizontal line with nose profile and border, characteristic point is equidistantly marked along nose profile.
Illustratively, it includes: mark left nose hole center vertical that the nostril profile based on the dog nose, which carries out characteristic point mark,
Line and left nose hole profile two sides boundary joins up and down characteristic point, left nose hole central horizontal line and left nose hole profile left and right sides
The characteristic point of boundary's handover；With characteristic point, the right side for marking the handover of right nostril central vertical line and right nostril profile or more two sides boundary
The characteristic point of boundary handover at left and right sides of nostril central horizontal line and right nostril profile.
Illustratively, the nostril profile based on the dog nose carries out characteristic point mark further include: with left nose hole center vertical
On the basis of line and the characteristic point of left nose hole central horizontal line and left nose hole profile handover, along left nose hole, profile equidistantly marks feature
Point；With
On the basis of right nostril central vertical line and the characteristic point of right nostril central horizontal line and right nostril profile handover, edge
Right nostril profile equidistantly marks characteristic point.
In one embodiment, as shown in figure 3, being illustrated by taking a dog nose image as an example according to predetermined regulation to dog face
It is labeled.Specifically, two main parts of nostril profile, nose profile based on dog nose in dog nose image shown in Fig. 3
Carry out characteristic point mark.
Firstly, the nose profile based on the dog nose carries out characteristic point mark, specifically include: mark dog nose central vertical line
Boundary is handed at left and right sides of the characteristic point 1,2 joined with two sides boundary above and below nose profile, dog nose central horizontal line and nose profile
The characteristic point 3,4 connect；1,2,3,4 four intersected with dog nose central vertical line and dog nose central horizontal line with nose profile and border
On the basis of characteristic point, nose profile is divided into four bulks, along nose profile, every piece equidistantly marks two characteristic points, altogether equidistantly
Mark 8 characteristic points: 5,6,7,8,9,10,11,12；
Then, the nostril profile based on the dog nose carries out characteristic point mark, specifically includes: mark left nose hole center vertical
Line and a characteristic point 13,14 joined with two sides boundary above and below the profile of left nose hole, left nose hole central horizontal line and left nose hole or so
The characteristic point 15,16 of two sides boundary handover；It is handed over left nose hole central vertical line and left nose hole central horizontal line and left nose hole profile
On the basis of 13,14,15,16 4 characteristic points of the characteristic point connect, left nare profile is divided into four bulks, along left nose hole profile,
Every piece equidistantly marks a characteristic point, altogether 4 characteristic points of equidistant mark: 17,18,19,20；And
The characteristic point 21,22 of right nostril center vertical line and right nostril profile two sides boundary handover up and down is marked, in right nostril
The characteristic point 24,23 of boundary handover at left and right sides of edema with the heart involved horizontal line and right nostril；With right nostril central vertical line and right nostril center
On the basis of horizontal line and 21,22,23,24 4 characteristic points of characteristic point of right nostril profile handover, right naris profile is divided into
Four bulks, along right nostril profile, every piece equidistantly marks a characteristic point, altogether 4 characteristic points of equidistant mark: 25,26,27,28.
Therefore, characteristic point mark is carried out to the dog noseprint in dog noseprint training sample image based on pre-defined rule, it is final right
8 characteristic points are labelled with around property in the nostril of every side, nose contour loop is directed to and is labelled with 12 characteristic points around property,
28 characteristic points altogether.
It should be noted that annotation step in this embodiment is only example, the pre- set pattern is not represented
Annotation step then；There is no limit for mark sequence for the pre-defined rule.In addition, the pre-defined rule can be according to design need
The number that increase characteristic point with actual conditions provides good data basis to improve the accuracy of mark for down-stream.
According to embodiments of the present invention, step 220 can further include: dog noseprint reference characteristic point coordinate is added institute
It states grid deviation and obtains the coordinate of dog noseprint characteristic point in the dog nose image.
Fig. 4 shows the schematic block diagram of the detection device 400 of dog noseprint characteristic point according to an embodiment of the present invention.Such as figure
Shown in 4, the detection device 400 of dog noseprint characteristic point according to an embodiment of the present invention includes:
Detection module 410, for obtaining the dog nose image based on dog nose image and trained dog noseprint model
The coordinate of the characteristic point of the characteristic point of middle dog noseprint and each dog noseprint and corresponding each dog noseprint reference characteristic point
Deviation；
Coordinate calculation module 420 obtains described for the coordinate and the grid deviation according to dog noseprint reference characteristic point
The coordinate of each dog noseprint characteristic point in dog nose image.
Illustratively, the training of the dog noseprint model includes:
Characteristic point mark is carried out to the dog noseprint in dog noseprint training sample image based on pre-defined rule, and is obtained corresponding
The coordinate of the reference characteristic point of dog noseprint；
Calculate after mark each characteristic point of dog noseprint and the corresponding dog noseprint in dog noseprint training sample image
Grid deviation between reference characteristic point；
Dog noseprint training sample image and the corresponding coordinate after foundation mark deviate to the dog noseprint model
It is trained, obtains trained dog noseprint model.
Illustratively, the coordinate of the reference characteristic point for obtaining corresponding dog noseprint includes: to instruct to dog noseprint after mark
The coordinate for practicing the same characteristic point of dog noseprint in sample image is averaging, and obtains the coordinate of the dog noseprint reference characteristic point.
Illustratively, the pre-defined rule includes at least one of nostril profile based on the dog nose, nose profile
It is labeled.
Illustratively, it includes: mark dog nose central vertical line that the nose profile based on the dog nose, which carries out characteristic point mark,
Boundary handover at left and right sides of characteristic point, dog nose central horizontal line and the nose profile joined with two sides boundary above and below nose profile
Characteristic point.
Illustratively, the nose profile based on the dog nose carries out characteristic point mark further include: with dog nose central vertical line
On the basis of the characteristic point intersected with dog nose central horizontal line with nose profile and border, characteristic point is equidistantly marked along nose profile.
Illustratively, it includes: mark left nose hole center vertical that the nostril profile based on the dog nose, which carries out characteristic point mark,
Line and left nose hole profile two sides boundary joins up and down characteristic point, left nose hole central horizontal line and left nose hole profile left and right sides
The characteristic point of boundary's handover；With characteristic point, the right side for marking the handover of right nostril central vertical line and right nostril profile or more two sides boundary
The characteristic point of boundary handover at left and right sides of nostril central horizontal line and right nostril profile.
Illustratively, the nostril profile based on the dog nose carries out characteristic point mark further include: with left nose hole center vertical
On the basis of line and the characteristic point of left nose hole central horizontal line and left nose hole profile handover, along left nose hole, profile equidistantly marks feature
Point；With
On the basis of right nostril central vertical line and the characteristic point of right nostril central horizontal line and right nostril profile handover, edge
Right nostril profile equidistantly marks characteristic point.
According to embodiments of the present invention, coordinate calculation module 420 is further used for: dog noseprint reference characteristic point coordinate is added
The grid deviation obtains the coordinate of dog noseprint characteristic point in the dog nose image.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
Fig. 5 shows the schematic block diagram of the detection system 500 of dog noseprint characteristic point according to an embodiment of the present invention.Dog nose
The detection system 500 of line characteristic point includes imaging sensor 510, storage device 520 and processor 530.
Imaging sensor 510 is for acquiring image data.
In detection method of the storage of storage device 530 for realizing dog noseprint characteristic point according to an embodiment of the present invention
Corresponding steps program code.
The processor 530 is for running the program code stored in the storage device 520, to execute according to the present invention
The corresponding steps of the detection method of the dog noseprint characteristic point of embodiment, and for realizing dog noseprint according to an embodiment of the present invention
Detection module 410 and coordinate calculation module 420 in the detection device of characteristic point.
In addition, according to embodiments of the present invention, additionally providing a kind of storage medium, storing program on said storage
Instruction, when described program instruction is run by computer or processor for executing the dog noseprint characteristic point of the embodiment of the present invention
The corresponding steps of detection method, and for realizing the phase in the detection device of dog noseprint characteristic point according to an embodiment of the present invention
Answer module.The storage medium for example may include the storage card of smart phone, the storage unit of tablet computer, personal computer
Hard disk, read-only memory (ROM), Erasable Programmable Read Only Memory EPROM (EPROM), portable compact disc read-only memory
(CD-ROM), any combination of USB storage or above-mentioned storage medium.The computer readable storage medium can be one
Any combination of a or multiple computer readable storage mediums, such as a computer readable storage medium include for randomly
The computer-readable program code of action command sequence is generated, another computer readable storage medium includes for carrying out dog
The computer-readable program code of the detection of noseprint characteristic point.
In one embodiment, the computer program instructions may be implemented real according to the present invention when being run by computer
Each functional module of the detection device of the dog noseprint characteristic point of example is applied, and/or can be executed according to embodiments of the present invention
Dog noseprint characteristic point detection method.
Each module in the detection system of dog noseprint characteristic point according to an embodiment of the present invention can be by according to the present invention
The computer program that the processor operation of the electronic equipment of the detection of the dog noseprint characteristic point of embodiment stores in memory refers to
It enables to realize, or can be stored in the computer readable storage medium of computer program product according to an embodiment of the present invention
Computer instruction realization when being run by computer.
Detection method, device, system and the storage medium of dog noseprint characteristic point according to an embodiment of the present invention, pass through letter
Just detection method binding model returns to obtain the coordinate of dog noseprint characteristic point, can effectively improve the detection of dog noseprint characteristic point
Accuracy and real-time, operational efficiency is high.
Although describing example embodiment by reference to attached drawing here, it should be understood that above example embodiment are only exemplary
, and be not intended to limit the scope of the invention to this.Those of ordinary skill in the art can carry out various changes wherein
And modification, it is made without departing from the scope of the present invention and spiritual.All such changes and modifications are intended to be included in appended claims
Within required the scope of the present invention.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, apparatus embodiments described above are merely indicative, for example, the division of the unit, only
Only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can be tied
Another equipment is closed or is desirably integrated into, or some features can be ignored or not executed.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention
Example can be practiced without these specific details.In some instances, well known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this specification.
Similarly, it should be understood that in order to simplify the present invention and help to understand one or more of the various inventive aspects,
To in the description of exemplary embodiment of the present invention, each feature of the invention be grouped together into sometimes single embodiment, figure,
Or in descriptions thereof.However, the method for the invention should not be construed to reflect an intention that i.e. claimed
The present invention claims features more more than feature expressly recited in each claim.More precisely, as corresponding
As claims reflect, inventive point is that all features less than some disclosed single embodiment can be used
Feature solves corresponding technical problem.Therefore, it then follows thus claims of specific embodiment are expressly incorporated in the tool
Body embodiment, wherein each, the claims themselves are regarded as separate embodiments of the invention.
It will be understood to those skilled in the art that any combination pair can be used other than mutually exclusive between feature
All features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed any method
Or all process or units of equipment are combined.Unless expressly stated otherwise, this specification (is wanted including adjoint right
Ask, make a summary and attached drawing) disclosed in each feature can be replaced with an alternative feature that provides the same, equivalent, or similar purpose.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention
Within the scope of and form different embodiments.For example, in detail in the claims, embodiment claimed it is one of any
Can in any combination mode come using.
Various component embodiments of the invention can be implemented in hardware, or to run on one or more processors
Software module realize, or be implemented in a combination thereof.It will be understood by those of skill in the art that can be used in practice
Microprocessor or digital signal processor (DSP) realize some moulds in article analytical equipment according to an embodiment of the present invention
The some or all functions of block.The present invention is also implemented as a part or complete for executing method as described herein
The program of device (for example, computer program and computer program product) in portion.It is such to realize that program of the invention can store
On a computer-readable medium, it or may be in the form of one or more signals.Such signal can be from internet
Downloading obtains on website, is perhaps provided on the carrier signal or is provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and ability
Field technique personnel can be designed alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference symbol between parentheses should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not
Element or step listed in the claims.Word "a" or "an" located in front of the element does not exclude the presence of multiple such
Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real
It is existing.In the unit claims listing several devices, several in these devices can be through the same hardware branch
To embody.The use of word first, second, and third does not indicate any sequence.These words can be explained and be run after fame
Claim.
The above description is merely a specific embodiment or to the explanation of specific embodiment, protection of the invention
Range is not limited thereto, and anyone skilled in the art in the technical scope disclosed by the present invention, can be easily
Expect change or replacement, should be covered by the protection scope of the present invention.Protection scope of the present invention should be with claim
Subject to protection scope.
Claims (11)
1. a kind of detection method of dog noseprint characteristic point, which is characterized in that the described method includes:
Based on dog nose image and trained dog noseprint model, obtain in the dog nose image dog noseprint characteristic point with it is corresponding
Each dog noseprint reference characteristic point grid deviation；
Each dog noseprint in the dog nose image is obtained according to the coordinate of each dog noseprint reference characteristic point and the grid deviation
The coordinate of characteristic point.
2. detection method as described in claim 1, which is characterized in that the training of the dog noseprint model includes:
Characteristic point mark is carried out to the dog noseprint in dog noseprint training sample image based on pre-defined rule, and obtains corresponding dog nose
The coordinate of the reference characteristic point of line；
Calculate after mark each characteristic point of dog noseprint and corresponding each dog noseprint in dog noseprint training sample image
Grid deviation between reference characteristic point；
Dog noseprint training sample image and the corresponding grid deviation after foundation mark carry out the dog noseprint model
Training, obtains trained dog noseprint model.
3. detection method as claimed in claim 2, which is characterized in that the reference characteristic point for obtaining corresponding dog noseprint
Coordinate includes: to obtain pair to the coordinate of the same characteristic point of dog noseprint is averaging in dog noseprint training sample image after mark
The coordinate for the dog noseprint reference characteristic point answered.
4. detection method as claimed in claim 2, which is characterized in that the preordering method includes the nostril based on the dog nose
At least one of profile, nose profile carry out characteristic point mark.
5. detection method as claimed in claim 4, which is characterized in that the nose profile based on the dog nose carries out characteristic point mark
Note include: mark dog nose central vertical line and nose profile up and down the characteristic point of two sides boundary handover, dog nose central horizontal line with
The characteristic point of boundary handover at left and right sides of nose profile.
6. detection method as claimed in claim 5, which is characterized in that the nose profile based on the dog nose carries out characteristic point mark
Note further include: on the basis of the characteristic point that dog nose central vertical line and dog nose central horizontal line intersect with nose profile and border, edge
Nose profile equidistantly marks characteristic point.
7. detection method as claimed in claim 4, which is characterized in that the nostril profile based on the dog nose carries out characteristic point mark
Note includes: to mark left nose hole central vertical line and edema with the heart involved in the left nose hole profile characteristic point that two sides boundary joins up and down, left nose hole
The characteristic point of boundary handover at left and right sides of horizontal line and left nose hole profile；With
Mark right nostril central vertical line and right nostril the profile characteristic point of two sides boundary handover, right nostril central horizontal line up and down
With the characteristic point of boundary handover at left and right sides of right nostril profile.
8. detection method as claimed in claim 7, which is characterized in that the nostril profile based on the dog nose carries out characteristic point mark
Note further include: on the basis of left nose hole central vertical line and the characteristic point of left nose hole central horizontal line and left nose hole profile handover,
Along left nose hole, profile equidistantly marks characteristic point；With
On the basis of right nostril central vertical line and the characteristic point of right nostril central horizontal line and right nostril profile handover, along right nose
Hole profile equidistantly marks characteristic point.
9. a kind of detection device of dog noseprint characteristic point, which is characterized in that described device includes:
Detection module, for obtaining dog nose in the dog nose image based on dog nose image and trained dog noseprint model
The grid deviation of line characteristic point and corresponding each dog noseprint reference characteristic point；
Coordinate calculation module, for obtaining the dog nose according to the coordinate and the grid deviation of each dog noseprint reference characteristic point
The coordinate of each dog noseprint characteristic point in image.
10. a kind of detection system of dog noseprint characteristic point, including memory, processor and it is stored on the memory and in institute
State the computer program run on processor, which is characterized in that the processor realizes right when executing the computer program
It is required that the step of any one of 1 to 8 the method.
11. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of any one of claims 1 to 8 the method is realized when being computer-executed.
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| CN201811625868.5A CN109858363B (en) | 2018-12-28 | 2018-12-28 | Dog nose print feature point detection method, device, system and storage medium |
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| CN201811625868.5A CN109858363B (en) | 2018-12-28 | 2018-12-28 | Dog nose print feature point detection method, device, system and storage medium |
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