CN107766834A - A kind of face identification method and system - Google Patents
A kind of face identification method and system Download PDFInfo
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- CN107766834A CN107766834A CN201711057760.6A CN201711057760A CN107766834A CN 107766834 A CN107766834 A CN 107766834A CN 201711057760 A CN201711057760 A CN 201711057760A CN 107766834 A CN107766834 A CN 107766834A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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Abstract
The invention discloses a kind of face identification method and system, the face identification method comprises the following steps：Obtain height data；Determine the identification section of the height data ownership；Obtain identification group；Human face photo in the identification group is handled, obtains preferred human face photo；The preferably human face photo is identified, exports face recognition result；Wherein, the identification section includes the first identification section and the second identification section, and the first identification section and the second identification section partly overlap, wherein, the first identification section is the coverage of the first camera module, and the second identification section is the coverage of the second camera module.The present invention adapts to the user of different heights, has higher universality, and can ensure that shooting quality and preferred human face photo is identified, and improves recognition of face efficiency.
Description
Technical field
The present invention relates to pattern-recognition, video monitoring, field of face identification, more particularly, to a kind of recognition of face side
Method and system.
Background technology
In pattern-recognition, especially image recognition processes, usually part is caused to know because the coverage of shooting is limited
Other missing, specifically during recognition of face and associated video monitoring, the people that height is shorter or height is higher is usually not
It can appear under shooting coverage, in order to meet the shooting coverage of most of average height crowd, the position of camera module
Put and be usually fixed on an ad-hoc location.Because requirement of the recognition of face to picture quality is higher, so in recognition of face door
In the application for prohibiting equipment, child or the higher people of height are just not easy to be identified.
Fig. 1 is that coverage explanation is imaged in original technology, and referring to Fig. 1, camera module is with optical axis and horizontal plane in the figure
The position that parallel mode is placed at the 1.4m of ground, the coverage of common high-definition camera is usually the degree of -30 degree -+30,
The optimum distance of recognition of face is 0.6m-0.9m, and the vertical facial dimension of people is estimated as 0.2m, is so as to calculate identification distance
During 0.6m, the height ranges that can know others as 1.25m-1.75m.When identification distance is 0.9m, others body can be known
High scope is 1.08m-1.91m.Therefore in the case of camera module universal location and angle, what recognition of face can recognize
Height ranges are 1.08m-1.91m.So in the application of recognition of face gate inhibition just by age immature child and height compared with
High people forecloses, and universality is poor.
The content of the invention
In view of this, the invention provides a kind of face to know recognition methods and system, has larger identification range, can be with
The user of different heights is adapted to, solves the problems, such as the face identification system universality difference of prior art.
The present invention provides a kind of face identification method, comprises the following steps：
Obtain height data；
The identification section of the height data ownership is determined, wherein,
The identification section includes the first identification section and the second identification section, the first identification section and described second
Identification section partly overlaps, wherein, described first identifies the coverage that section is the first camera module, second cog region
Between be the second camera module coverage；
Identification group is obtained, wherein,
If the height data only belongs to the first identification section, first camera module is controlled to be shot,
Obtain at least two human face photos and form identification group；
If the height data only belongs to the second identification section, second camera module is controlled to be shot,
Obtain at least two human face photos and form the identification group；
If the height data belongs to the first identification section and the second identification section simultaneously, described in control
First camera module and second camera module are shot respectively, and are obtained respectively described in an at least human face photo composition
Identification group；
Human face photo in the identification group is handled, obtains preferred human face photo；
The preferably human face photo is identified, exports face recognition result.
Further, the acquisition height data, including：
Whether perception has human body to enter identification region；
When having perceived human body into the identification region, measure the human body and obtain the height data.
Further, the human face photo in the identification group is handled, and obtains preferred human face photo, including：
Detect the pixel qualities of human face photo in the identification group；
Pixel qualities highest human face photo is selected from the identification group as the preferred human face photo.
Further, the human face photo in the identification group is handled, and obtains preferred human face photo, including：
At least two human face photos in the identification group are merged, obtain the preferred human face photo.
Further,
The aperture and/or focal length of first camera module and second camera module differ.
Further,
The minimum value in the first identification section is less than the maximum in the described second identification section.
The optical axis of first camera module is inclined upwardly, and the optical axis of second camera module tilts down.
The present invention also provides a kind of face identification system, including：
First camera module, the coverage of first camera module is the first identification section；
Second camera module, the coverage of first camera module is the second identification section；
Height measures module, for obtaining height data；
Central processing module, with height measurement module, first camera module and the second camera module phase
Connection, it is configured as performing following steps：
The identification section of the height data ownership is determined, wherein, the identification section includes the described first identification section
With the described second identification section, the first identification section and the second identification section partly overlap；
Identification group is obtained, wherein,
If the height data only belongs to the first identification section, first camera module is controlled to be shot,
Obtain at least two human face photos and form identification group；
If the height data only belongs to the second identification section, second camera module is controlled to be shot,
Obtain at least two human face photos and form the identification group；
If the height data belongs to the first identification section and the second identification section simultaneously, described in control
First camera module and second camera module are shot respectively, and are obtained respectively described in an at least human face photo composition
Identification group；
Human face photo in the identification group is handled, obtains preferred human face photo；
The preferably human face photo is identified, exports face recognition result；
Display module, it is connected with the central processing module.
Further, the height measurement module includes：
Sensing unit, whether there is human body to enter identification region for sensing, and when the sensing unit perceives someone
When body is entered in the identification region, measurement instruction is sent to measuring unit；
The measuring unit, it is connected with the sensing unit, for described in the measurement when receiving the measurement instruction
Human body obtains the height data.
Further, it is characterised in that
The aperture and/or focal length of first camera module and second camera module differ.
Further, it is characterised in that
First camera module and second camera module are integrated in the display module；
The display module includes glass cover-plate, the glass cover-plate include be planar structure Part I, second
Part and Part III, the Part II and the Part III are located at the relative both ends of the Part I, and described first
Part is respectively provided with angle with the Part II, the Part I and the Part III；
First camera module is bonded with the Part II and shot through the Part II, meanwhile, institute
The optical axis for stating the first camera module is vertical with the Part II；
Second camera module is bonded with the Part III and shot through the Part III, meanwhile, institute
The optical axis for stating the second camera module is vertical with the Part III.
Compared with prior art, the method for a kind of expansion face recognition device of the invention shooting coverage, is realized
Following beneficial effect：
1) two camera modules with certain angle of inclination up and down and height measurement module are used, height measurement module is adopted
Collect height data, and control different camera modules to be shot according to height data, be adapted to the user of different heights, carry
The high universality of face identification system.
2) in order to coordinate canted shot module, and can effectively avoid scattering, reflection of light etc. influence pickup quality because
Element, using the design method of slanted glass cover plate, camera module and glass cover-plate is set to be in absolute upright, and be brought into close contact shape
State, reach the pickup quality in generic way.
3) in order to solve recognition of face efficiency decrease problem, the present invention gathers multiple human face photos and detects its quality, only
There is top-quality human face photo to be identified, other human face photos abandon automatically, excessively this mode of the invention, avoid repeatedly weight
Problem is identified again, effectively lifts recognition efficiency and recognition speed.
By the way that the exemplary application of the present invention is described in detail referring to the drawings, feature of the invention and its advantage will
It is made apparent from.
Brief description of the drawings
Fig. 1 is the coverage schematic diagram of camera module in the prior art；
Fig. 2 is the flow chart that the embodiment of the present invention 1 provides face identification method；
Fig. 3 is the position relationship and coverage schematic diagram of two camera modules in the embodiment of the present invention；
Fig. 4 is the connection diagram for the face identification system that the embodiment of the present invention 2 provides；
Fig. 5 is that the height of inventive embodiments 2 measures the structural representation of module；
Fig. 6 is the structural representation of the central processing module of inventive embodiments 2；
Fig. 7 is the relation schematic diagram of two camera modules and display module in the embodiment of the present invention；
Fig. 8 is the position relationship schematic diagram of two camera modules and glass cover-plate in the embodiment of the present invention；
Fig. 9 is the position relationship of two camera modules and the signal of coverage in some alternative embodiments of the invention
Figure.
Embodiment
Some vocabulary has such as been used to censure specific components among specification and claim.Those skilled in the art should
It is understood that hardware manufacturer may call same component with different nouns.This specification and claims are not with name
The difference of title is used as the mode for distinguishing component, but is used as the criterion of differentiation with the difference of component functionally.Such as logical
The " comprising " of piece specification and claim mentioned in is an open language, therefore should be construed to " including but do not limit
In "." substantially " refer in receivable error range, those skilled in the art can be described within a certain error range solution
Technical problem, basically reach the technique effect.
It should be noted that：Unless specifically stated otherwise, otherwise in these explanations camera module positioned opposite, numeral expression
Formula and numerical value do not limit the scope of the invention.
It is illustrative that following application example, which describes only actually, never as to the present invention and its application or using
Any restrictions.
It may be not discussed in detail for technology, method and apparatus known to person of ordinary skill in the relevant, but suitable
In the case of, the technology, method and apparatus should be considered as part for specification.
In discussion shown here, any occurrence should be construed as merely exemplary, not as limitation.
Therefore, other application example can have different values.
It should be noted that：Similar label and letter represents similar terms in following accompanying drawing, therefore, once a certain Xiang Yi
It is defined, then it need not be further discussed in subsequent accompanying drawing in individual accompanying drawing.
Embodiment 1
A kind of face identification method is present embodiments provided, Fig. 2 is the flow chart of the face identification method, is specifically included
Following steps：
Step S1, obtain height data；
Specifically, whether perceive has human body to enter identification region；
When having perceived human body into the identification region, measure the human body and obtain the height data；
Step S2, determine the identification section of height data ownership；
Wherein, the identification section includes the first identification section and the second identification section, as shown in figure 3, described first knows
Other section and the second identification section partly overlap, wherein, the first identification section is the shooting model of the first camera module
Enclose, the second identification section is the coverage of the second camera module；When user's height is in the coverage, institute
The human face photo of the user can completely be obtained by stating the first camera module or second camera module；
In some alternative embodiments, the aperture and/or focal length of first camera module and second camera module
Differ；
As shown in figure 3, in some optional examples in real time, the minimum value in the first identification section is less than the described second identification
The maximum in section.
The optical axis of first camera module is inclined upwardly, and the optical axis of second camera module tilts down.
Step S3, obtain identification group；
Wherein, if the height data only belongs to the first identification section, first camera module is controlled to carry out
Shooting, obtain at least two human face photos and form identification group；
If the height data only belongs to the second identification section, second camera module is controlled to be shot,
Obtain at least two human face photos and form the identification group；
If the height data belongs to the first identification section and the second identification section simultaneously, described in control
First camera module and second camera module are shot respectively, and are obtained respectively described in an at least human face photo composition
Identification group；
Step S4, the human face photo in the identification group is handled, obtains preferred human face photo；
Specifically, the pixel qualities of human face photo in the identification group are detected；
Pixel qualities highest human face photo is selected from the identification group as the preferred human face photo；
In some alternative embodiments, at least two human face photos in the identification group can be merged, be obtained
The preferred human face photo；
Step S5, the preferably human face photo is identified, exports face recognition result.
The method that the present embodiment provides, different camera modules can be controlled to shoot face and shone according to different height datas
Piece, the user of different heights is adapted to, there is higher universality；Also human face photo is in optimized selection for the present embodiment,
Improve the accuracy and efficiency of recognition of face.
Embodiment 2
A kind of face identification system is present embodiments provided, present embodiments provides a kind of face identification system, such as Fig. 4 institutes
Show, including：
First camera module 10, the second camera module 20, height measurement module 30, central processing module 40 and display module
50。
As shown in Figure 3, it is assumed that the vertical facial dimension of user is no more than 0.2m, and the coverage of the first camera module 10 is first
Identify section；Second camera module 20, the coverage of the second camera module 20 is the second identification section；First cog region
Between and described second identification section partially overlap；When user's height is in the coverage, the first camera module 10 or the
Two camera modules 20 can completely obtain the human face photo of the user；In order to obtain preferably shooting effect, can be imaged to first
Module 10 aperture and focal length different from the configuration of the second camera module 20.
As shown in figure 5, height measurement module 30 includes sensing unit 31 and measuring unit 32；
Whether sensing unit 31 can sense has human body to enter identification region as shown in Figure 3, when having sensed that human body enters
When entering in the identification region, measurement instruction is sent to measuring unit 32, measuring unit 32 is when receiving the measurement instruction
Measure the human body and obtain height data.
Central processing module 40, it is connected with height measurement module 30, the first camera module 10 and the second camera module 20,
For only belonging to the first identification section when the height data, then the first camera module 10 is controlled to be shot at least two
Human face photo, when the height data only belong to it is described second identification section, then control the second camera module 20 shot to
Few two human face photos, when the height data belongs to the first identification section and the second identification section simultaneously, then
The first camera module 10 and the second camera module 20 is controlled to be shot an at least human face photo respectively；First camera module 10
The human face photo of shooting is transmitted into central processing module 40 with the second camera module 20, central processing module 40 is to the people
Face photo carries out pretreatment and picks out pixel qualities highest photo as preferred human face photo, and the preferred human face photo is entered
Row identification.
As shown in fig. 6, in some alternative embodiments, central processing module 40 includes human face photo quality testing unit
41 and human face photo recognition unit 42, human face photo quality testing unit 41 be connected with human face photo recognition unit 42, center
After processing module 40 receives multiple human face photos, the pixel of multiple human face photos is detected by human face photo quality testing unit 41
Quality, and retain the higher human face photo of pixel qualities as preferred human face photo, and human face photo recognition unit 42 is passed to,
Human face photo recognition unit 42 carries out recognition of face to preferred human face photo, and exports recognition result.
Display module 50, it is connected with central processing module 40, the real-time face available for display face identification system shines
Piece, it is easy to user's adjustment angle and posture, obtains the preferable human face photo of effect, improves recognition efficiency.
As shown in fig. 7, the first camera module 10 and the second camera module 20 are integrated in display module 50.
As shown in figure 8, display module 50 includes glass cover-plate 51, it is the first of planar structure that the glass cover-plate, which includes,
It is relative that part 511, Part II 512 and Part III 513, Part II 512 and Part III 513 are located at Part I 511
Both ends, Part I 511 and Part II 512, Part I 511 and Part III 513 are respectively provided with angle；First shooting mould
Group 10 is bonded with Part II 512 and shot through Part II 512；Second camera module 20 pastes with Part III 513
Merging is shot through Part III 513；The optical axis of first camera module 10 is vertical with Part II 512；Second shooting mould
The optical axis of group 20 is vertical with Part III 513.
As shown in figure 9, in some alternative embodiments, the 3rd camera module that two horizontal cross are placed side by side can be increased
60 and the 4th camera module 70, and then the scope of recognition of face extending transversely, while more faces can be identified.
As shown in figure 3, can calculate in the present embodiment, when identification distance is 0.6m, others height ranges can be known
It is 0.8m-2.0m；When identification distance is 0.9m, the height ranges that can know others as 0.5m-2.3m；Therefore in the present invention
In, the height ranges that recognition of face can recognize are 0.5m-2.3m, more than the prior art recognition of face shown in Fig. 1
Height ranges 1.08m-1.91m.
The present embodiment provides face identification system and had the following effects that：There is taking the photograph for certain angle of inclination using upper and lower two
As the method for module can effectively expand the coverage of recognition of face, the pervasive of face identification system is improved suitable for difference
Property；Using the design method of slanted glass cover plate, the optical axis and glass cover-plate for making camera module are in absolute upright, can be effective
Avoid scattering, reflection of light etc. from influenceing the factor of pickup quality, ensure that pickup quality is not less than prior art；Built-in face shines
Tablet quality detection unit, the unit can detect the quality of multiple camera module collection human face photos, only top-quality photo
It can be identified, other photos abandon automatically, avoid and identification problem is repeated several times, and effectively improve recognition efficiency and identification speed
Degree.
Claims (10)
1. a kind of face identification method, it is characterised in that comprise the following steps：
Obtain height data；
The identification section of the height data ownership is determined, wherein,
The identification section includes the first identification section and the second identification section, the first identification section and second identification
Segment part is overlapping；Wherein, the first identification section is the coverage of the first camera module, and the second identification section is
The coverage of second camera module；
Identification group is obtained, wherein,
If the height data only belongs to the first identification section, control first camera module to be shot, obtain
At least two human face photos form identification group；
If the height data only belongs to the second identification section, control second camera module to be shot, obtain
At least two human face photos form the identification group；
If the height data belongs to the first identification section and the second identification section simultaneously, described first is controlled
Camera module and second camera module are shot respectively, and are obtained an at least human face photo respectively and formed the identification
Group；
Human face photo in the identification group is handled, obtains preferred human face photo；
The preferably human face photo is identified, exports face recognition result.
2. face identification method according to claim 1, it is characterised in that the acquisition height data, including：
Whether perception has human body to enter identification region；
When having perceived human body into the identification region, measure the human body and obtain the height data.
3. face identification method according to claim 1, it is characterised in that the human face photo in the identification group
Handled, obtain preferred human face photo, including：
Detect the pixel qualities of the human face photo in the identification group；
Pixel qualities highest human face photo is selected from the identification group as the preferred human face photo.
4. face identification method according to claim 1, it is characterised in that the human face photo in the identification group
Handled, obtain preferred human face photo, including：
At least two human face photos in the identification group are merged, obtain the preferred human face photo.
5. face identification method according to claim 1, it is characterised in that
The aperture and/or focal length of first camera module and second camera module differ.
6. face identification method according to claim 1, it is characterised in that
The minimum value in the first identification section is less than the maximum in the described second identification section；
The optical axis of first camera module is inclined upwardly, and the optical axis of second camera module tilts down.
A kind of 7. face identification system, it is characterised in that including：
First camera module, the coverage of first camera module is the first identification section；
Second camera module, the coverage of second camera module is the second identification section；
Height measures module, for obtaining height data；
Central processing module, it is connected with height measurement module, first camera module and second camera module,
It is configured as performing following steps：
The identification section of the height data ownership is determined, wherein, the identification section includes the described first identification section and institute
The second identification section is stated, the first identification section and the second identification section partly overlap；
Identification group is obtained, wherein,
If the height data only belongs to the first identification section, control first camera module to be shot, obtain
At least two human face photos form identification group；
If the height data only belongs to the second identification section, control second camera module to be shot, obtain
At least two human face photos form the identification group；
If the height data belongs to the first identification section and the second identification section simultaneously, described first is controlled
Camera module and second camera module are shot respectively, and are obtained an at least human face photo respectively and formed the identification
Group；
Human face photo in the identification group is handled, obtains preferred human face photo；
The preferably human face photo is identified, exports face recognition result；
Display module, it is connected with the central processing module.
8. face identification system according to claim 7, it is characterised in that the height measurement module includes：
Sensing unit, whether there is human body to enter identification region for sensing, and enter when the sensing unit has perceived human body
When entering in the identification region, measurement instruction is sent to measuring unit；
The measuring unit, it is connected with the sensing unit, for measuring the human body when receiving the measurement instruction
Obtain the height data.
9. face identification system according to claim 7, it is characterised in that
The aperture and/or focal length of first camera module and second camera module differ.
10. face identification system according to claim 7, it is characterised in that
First camera module and second camera module are integrated in the display module；
The display module includes glass cover-plate, the glass cover-plate include be planar structure Part I, Part II
And Part III, the Part II and the Part III are located at the relative both ends of the Part I, the Part I
Angle is respectively provided with the Part II, the Part I and the Part III；
First camera module is bonded with the Part II and shot through the Part II, meanwhile, described the
The optical axis of one camera module is vertical with the Part II；
Second camera module is bonded with the Part III and shot through the Part III, meanwhile, described the
The optical axis of two camera modules is vertical with the Part III.
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| CN109607339A (en) * | 2018-12-08 | 2019-04-12 | 佛山市伟邦电子科技有限公司 | A kind of calling elevator system of the double face recognition modules of band |
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