CN107239764A - A kind of face identification method of DNR dynamic noise reduction - Google Patents
A kind of face identification method of DNR dynamic noise reduction Download PDFInfo
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G06V40/172—Classification, e.g. identification
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/60—Static or dynamic means for assisting the user to position a body part for biometric acquisition
- G06V40/67—Static or dynamic means for assisting the user to position a body part for biometric acquisition by interactive indications to the user
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Abstract
In order to overcome adverse effect of the meteorological condition to three-dimensional face identification technology in recognition accuracy, the invention provides a kind of face identification method of DNR dynamic noise reduction, including：The voice signal of people to be identified is gathered, and the identity information that people to be identified claims is obtained based on this voice signal；Whereabouts information that the natural environment residing for people to be identified rains or snow is gathered, to obtain the density information of the positive rain of people to be identified or snow；Gather the actual three dimensional face image information of people to be identified；The identity information and the actual three dimensional face image information of people to be identified claimed according to the whereabouts information of rain or snow, people to be identified, it is determined that the initial position message of three-dimensional identification；According to initial position message, the three dimensional face information of people to be identified is recognized；According to the facial information of people to be identified, the actual identity information of people to be identified is determined.The present invention reduces the error that rainfall and/or snowfall are brought to recognition of face by the means of dynamic analysis, multiple repairing weld, improves recognition accuracy.
Description
Technical field
The present invention relates to three-dimensional face identification technology field, more particularly, to a kind of recognition of face side of DNR dynamic noise reduction
Method.
Background technology
Face identification system, using face recognition technology as core, is an emerging biological identification technology, is the current world
The high-quality precision and sophisticated technology of sciemtifec and technical sphere tackling key problem.Not reproducible, collection is convenient, do not need the cooperation of one be shooted because having for face so that
Face identification system has a wide range of applications.Nowadays, face recognition technology has been widely used in the safety-security areas such as gate inhibition.
Face recognition technology is mainly or by two dimensional image identification method, and its method is according to two dimensional surface face silhouette
Or certain visual angle is extracted and recognizes face characteristic.The poor reliability of this method, the shadow of facial pose, illumination by identified person
Sound is larger.Accordingly, three-dimensional face identification technology degree of accuracy height, strong adaptability, attack tolerant be strong, anti-fraudulent is strong, than two
The face recognition technology for tieing up image is relatively reliable.
However, existing three-dimensional face identification technology concern is primarily with how to facial crucial recognition site modeling and
Overcome the influence that light is brought.But in fact, the particularity of the environment due to gate inhibition's application, identified person is likely to be at severe day
Under gas system, such as drenching with rain, snow, haze, cause the unclear of identified person's local feature, and then had influence on three-dimensional
Degree of accuracy during face recognition.
The content of the invention
In order to overcome adverse effect of the meteorological condition to three-dimensional face identification technology in recognition accuracy, the present invention is provided
A kind of face identification method of DNR dynamic noise reduction, including：
(1) voice signal of people to be identified is gathered, and the identity information that people to be identified claims is obtained based on this voice signal；
(2) whereabouts information that the natural environment residing for people to be identified rains or snow is gathered, to obtain people front to be identified
Rain or snow density information；
(3) the actual three dimensional face image information of people to be identified is gathered；
(4) identity information and the actual three-dimensional surface of people to be identified claimed according to the whereabouts information of rain or snow, people to be identified
Portion's image information, it is determined that the initial position message of three-dimensional identification；
(5) according to initial position message, the three dimensional face information of people to be identified is recognized；
(6) according to the facial information of people to be identified, the actual identity information of people to be identified is determined.
Further, the step (1) includes：
(11) voice messaging of prompting problem is provided to people to be identified, the sound letter of people to be identified in the given time is obtained
Breath；
(12) vocal print of the acoustic information of people to be identified is obtained；
(13) vocal print of the acoustic information of people to be identified is compared with default voiceprint set, according to comparing knot
Fruit determines the identity information that people to be identified claims.
Further, the prompting problem is the prompting problem provided at random.
Further, step (2) includes：
(21) locus in the acoustic information source of people to be identified is determined；
(22) rain estimation of rain or snow is gathered in people underfooting to be identified；
(23) when rain estimation exceedes default rain estimation threshold value, grid type screening is carried out in people's overhead to be identified
Gear, in order to which the rain estimation for dropping to the rain on the number of people to be identified or snow is controlled below default rain estimation threshold value；
(24) density information of the positive rain of people to be identified or snow is gathered.
Further, the step (24) includes：
(241) direct picture of multiple people to be identified is gathered between people to be identified and front scan camera；
(242) identity information claimed according to people to be identified, determines the frontal face image that people to be identified claims；
(243) in presupposition analysis region, it is determined that the direct picture of multiple people to be identified and the voice to be identified
Sharpness information c between the frontal face image of titlej, the presupposition analysis region is centered on default collection point, vertically
Direction, the region that radius is preset length R, the space Z-direction coordinate of the default collection point are predetermined for the people crown to be identified
At distance, and when progress grid type is blocked, the pre-determined distance, which is less than, to be carried out when grid type is blocked apart from the people crown to be identified
Distance, the space X direction of the collection point and Y-direction coordinate are that X-coordinate and Y at the locus that the acoustic information is originated are sat
Mark, the sharpness information cjBased on the physiological characteristic at facial each position of people to be identified, j is each position of face
Quantity and j >=5.
Further, the step (3) is at the locus that the acoustic information is originated including gathering people to be identified
The actual three dimensional face image information of picture centre.
Further, the step (4) includes：
(411) identity information claimed according to people to be identified, determines the frontal face image that people to be identified claims；
(412) sharpness information is added on the frontal face image, obtained with reference to identification image；
(413) it is compared described with reference to identification image and the actual three dimensional face image information of people to be identified, it is determined that
Facial zone in actual three dimensional face image information；
(414) in the facial zone in the actual three dimensional face image information, the actual three dimensional face figure is determined
Match information between the frontal face image claimed as information and the people to be identified, the match information includes i with face
Each position physiological characteristic based on deformed region, wherein i be more than 10；
(415) the deformation coefficient respectively α of the i deformed regions is seti, according to using each deformed region in
The heart, deformation analysis radius r calculate for the following formula in multiple neighborhoods of radius, it is determined that calculating, obtained minimum value is corresponding, make
Centered on deformed region Amin, and the maximum value that calculating is obtained is corresponding, deformed region A as centermax：
Distance between deformed regions of the wherein r for some deformed region and around it, the deformation coefficient αiFor with
In each physiological characteristic region based on the physiological characteristic at each position for the frontal face image that people to be identified claims, table
Show the number that the pixel of the profile of the physiological characteristic occurs in the relevant position with reference to identification image；
(416) using T as the cycle, to the deformed region AminIt is the actual three dimensional face figure of picture centre at where center
As information carries out p secondary acquisition, two-dimentional face-image, and the two-dimensional surface being extracted within each cycle described in determination are therefrom extracted
Sharpness information between the frontal face image that portion's image and the people to be identified claimThe sharpness informationTo treat
Based on the physiological characteristic at facial each position for recognizing people, quantity and j >=5 of the j for each position of face；
(417) with each secondary acquisition during obtainBuild definition discrimination matrix, each behavior of the matrix
The facial corresponding definition in each position of the people to be identified obtained during one secondary acquisition, each be classified as of the matrix is treated
Some facial position of identification people carries out the definition obtained during each secondary acquisition, i.e.,：First during secondary acquisition
The facial corresponding definition in each position of the secondary people to be identified collected is the first row, and what is collected for the second time is to be identified
The facial corresponding definition in each position of people is the second row, by that analogy；
(418) the variance D of each row of the definition discrimination matrix is calculatedq, wherein q is the definition discrimination matrix
Columns；
(419) variance D in the definition discrimination matrix is removedqMaximum sharpness informationThe row at place, is passed through
Cross the definition discrimination matrix of processing；
(420) for each row in the treated definition discrimination matrix, following after-treatment is carried out successively：Root
According to centered on each deformed region, the deformation analysis radius r be that following formula in multiple neighborhoods of radius is calculated, it is determined that meter
Obtained minimum value：
(421) it is the minimum value obtained in the after-treatment is corresponding as in the geometry of the deformed region at center
The heart is used as initial position message as initial position, the positional information of the geometric center.
Further, the rain estimation is the criteria for classifying according to precipitation in meteorology the preceding paragraph time.
Further, methods described also includes the reality of the identity information and people to be identified claimed according to the people to be identified
Identity information, determines the safety precaution grade of gate control system.
The beneficial effects of the invention are as follows：
(1) can improve in the rain or snow in recognition of face the degree of accuracy；
(2) can based on the multiple analysis to rain or snow, dynamically determine rather than still specified three-dimensional recognize when just
Beginning position, compared with prior art in the commonly used position such as " nose ", " place between the eyebrows " that is directly defaulted as there is more extensive be applicable
Property and reliability, can avoid because the people to be identified physiological defect of itself causes recognition failures.
Brief description of the drawings
Fig. 1 shows the flow chart of the face identification method of the DNR dynamic noise reduction according to the present invention.
Embodiment
As shown in figure 1, the invention provides a kind of face identification method of DNR dynamic noise reduction, including：
(1) voice signal of people to be identified is gathered, and the identity information that people to be identified claims is obtained based on this voice signal；
(2) whereabouts information that the natural environment residing for people to be identified rains or snow is gathered, to obtain people front to be identified
Rain or snow density information；
(3) the actual three dimensional face image information of people to be identified is gathered；
(4) identity information and the actual three-dimensional surface of people to be identified claimed according to the whereabouts information of rain or snow, people to be identified
Portion's image information, it is determined that the initial position message of three-dimensional identification；
(5) according to initial position message, the three dimensional face information of people to be identified is recognized；
(6) according to the facial information of people to be identified, the actual identity information of people to be identified is determined.
The step (1) includes：
(11) voice messaging of prompting problem is provided to people to be identified, the sound letter of people to be identified in the given time is obtained
Breath；
(12) vocal print of the acoustic information of people to be identified is obtained；
(13) vocal print of the acoustic information of people to be identified is compared with default voiceprint set, according to comparing knot
Fruit determines the identity information that people to be identified claims.
The prompting problem is the prompting problem provided at random.
Step (2) includes：
(21) locus in the acoustic information source of people to be identified is determined；
(22) rain estimation of rain or snow is gathered in people underfooting to be identified；
(23) when rain estimation exceedes default rain estimation threshold value, grid type screening is carried out in people's overhead to be identified
Gear, in order to which the rain estimation for dropping to the rain on the number of people to be identified or snow is controlled below default rain estimation threshold value；
(24) density information of the positive rain of people to be identified or snow is gathered.
The step (24) includes：
(241) direct picture of multiple people to be identified is gathered between people to be identified and front scan camera；
(242) identity information claimed according to people to be identified, determines the frontal face image that people to be identified claims；
(243) in presupposition analysis region, it is determined that the direct picture of multiple people to be identified and the voice to be identified
Sharpness information c between the frontal face image of titlej, the presupposition analysis region is centered on default collection point, vertically
Direction, the region that radius is preset length R, the space Z-direction coordinate of the default collection point are predetermined for the people crown to be identified
At distance, and when progress grid type is blocked, the pre-determined distance, which is less than, to be carried out when grid type is blocked apart from the people crown to be identified
Distance, the space X direction of the collection point and Y-direction coordinate are that X-coordinate and Y at the locus that the acoustic information is originated are sat
Mark, the sharpness information cjBased on the physiological characteristic at facial each position of people to be identified, j is each position of face
Quantity and j >=5.
It is picture centre that the step (3), which includes gathering people to be identified at the locus that the acoustic information is originated,
Actual three dimensional face image information.
The step (4) includes：
(411) identity information claimed according to people to be identified, determines the frontal face image that people to be identified claims；
(412) sharpness information is added on the frontal face image, obtained with reference to identification image；
(413) it is compared described with reference to identification image and the actual three dimensional face image information of people to be identified, it is determined that
Facial zone in actual three dimensional face image information；
(414) in the facial zone in the actual three dimensional face image information, the actual three dimensional face figure is determined
Match information between the frontal face image claimed as information and the people to be identified, the match information includes i with face
Each position physiological characteristic based on deformed region, wherein i be more than 10；
(415) the deformation coefficient respectively α of the i deformed regions is seti, according to using each deformed region in
The heart, deformation analysis radius r calculate for the following formula in multiple neighborhoods of radius, it is determined that calculating, obtained minimum value is corresponding, make
Centered on deformed region Amin, and the maximum value that calculating is obtained is corresponding, deformed region A as centermax：
Distance between deformed regions of the wherein r for some deformed region and around it, the deformation coefficient αiFor with
In each physiological characteristic region based on the physiological characteristic at each position for the frontal face image that people to be identified claims, table
Show the number that the pixel of the profile of the physiological characteristic occurs in the relevant position with reference to identification image；
(416) using T as the cycle, to the deformed region AminIt is the actual three dimensional face figure of picture centre at where center
As information carries out p secondary acquisition, two-dimentional face-image, and the two-dimensional surface being extracted within each cycle described in determination are therefrom extracted
Sharpness information between the frontal face image that portion's image and the people to be identified claimThe sharpness informationTo treat
Based on the physiological characteristic at facial each position for recognizing people, quantity and j >=5 of the j for each position of face；
(417) with each secondary acquisition during obtainBuild definition discrimination matrix, each behavior of the matrix
The facial corresponding definition in each position of the people to be identified obtained during one secondary acquisition, each be classified as of the matrix is treated
Some facial position of identification people carries out the definition obtained during each secondary acquisition, i.e.,：First during secondary acquisition
The facial corresponding definition in each position of the secondary people to be identified collected is the first row, and what is collected for the second time is to be identified
The facial corresponding definition in each position of people is the second row, by that analogy；
(418) the variance D of each row of the definition discrimination matrix is calculatedq, wherein q is the definition discrimination matrix
Columns；
(419) variance D in the definition discrimination matrix is removedqMaximum sharpness informationThe row at place, is passed through
Cross the definition discrimination matrix of processing；
(420) for each row in the treated definition discrimination matrix, following after-treatment is carried out successively：Root
According to centered on each deformed region, the deformation analysis radius r be that following formula in multiple neighborhoods of radius is calculated, it is determined that meter
Obtained minimum value：
(421) it is the minimum value obtained in the after-treatment is corresponding as in the geometry of the deformed region at center
The heart is used as initial position message as initial position, the positional information of the geometric center.
The rain estimation is the criteria for classifying according to precipitation in meteorology the preceding paragraph time.
Methods described also includes the actual identity information of the identity information and people to be identified claimed according to the people to be identified,
Determine the safety precaution grade of gate control system.
NM three-dimensional face identification is comprised the concrete steps that after above-mentioned initial position message is determined in the application, can
With what is carried out using various models and algorithm of the prior art, and not this Applicant's Abstract graph main technical schemes, and this Shen is not influenceed
Implementation please, will not be repeated here.
It is the purpose to illustrate for the narration that presently preferred embodiments of the present invention is made above, and is not intended to limit essence of the invention
It is really disclosed form, it is possible based on teaching above or to make an amendment or change from embodiments of the invention study
, embodiment is for explanation principle of the invention and allows those skilled in the art to be existed with various embodiments using the present invention
Select and describe in practical application, technological thought of the invention attempts to be determined by claim and its equalization.
Claims (8)
1. a kind of face identification method of DNR dynamic noise reduction, including：
(1) voice signal of people to be identified is gathered, and the identity information that people to be identified claims is obtained based on this voice signal；
(2) whereabouts information that the natural environment residing for people to be identified rains or snow is gathered, to obtain the positive rain of people to be identified
Or the density information of snow；
(3) the actual three dimensional face image information of people to be identified is gathered；
(4) identity information and the actual three dimensional face figure of people to be identified claimed according to the whereabouts information of rain or snow, people to be identified
As information, it is determined that the initial position message of three-dimensional identification；
(5) according to initial position message, the three dimensional face information of people to be identified is recognized；
(6) according to the facial information of people to be identified, the actual identity information of people to be identified is determined.
2. according to the method described in claim 1, it is characterised in that the step (1) includes：
(11) voice messaging of prompting problem is provided to people to be identified, the acoustic information of people to be identified in the given time is obtained；
(12) vocal print of the acoustic information of people to be identified is obtained；
(13) vocal print of the acoustic information of people to be identified is compared with default voiceprint set, it is true according to comparative result
The identity information that fixed people to be identified claims.
3. according to the method described in claim 1, it is characterised in that the prompting problem is the prompting problem provided at random.
Further, step (2) includes：
(21) locus in the acoustic information source of people to be identified is determined；
(22) rain estimation of rain or snow is gathered in people underfooting to be identified；
(23) when rain estimation exceedes default rain estimation threshold value, carry out grid type in people's overhead to be identified and block, with
It is easy to control the rain estimation for dropping to the rain on the number of people to be identified or snow below default rain estimation threshold value；
(24) density information of the positive rain of people to be identified or snow is gathered.
4. method according to claim 3, it is characterised in that the step (24) includes：
(241) direct picture of multiple people to be identified is gathered between people to be identified and front scan camera；
(242) identity information claimed according to people to be identified, determines the frontal face image that people to be identified claims；
(243) in presupposition analysis region, it is determined that what the direct picture of multiple people to be identified and the people to be identified claimed
Sharpness information c between frontal face imagej, the presupposition analysis region is centered on default collection point, vertical direction
, the region that radius is preset length R, the space Z-direction coordinate of the default collection point is the people crown to be identified preset distance
Place, and when progress grid type is blocked, the pre-determined distance is less than the distance carried out when grid type is blocked apart from the people crown to be identified,
The space X direction of the collection point and Y-direction coordinate are the X-coordinate and Y-coordinate at the locus that the acoustic information is originated, institute
State sharpness information cjBased on the physiological characteristic at facial each position of people to be identified, j is the quantity at each position of face
And j >=5.
5. method according to claim 4, it is characterised in that the step (3) includes gathering people to be identified in the sound
It is the actual three dimensional face image information of picture centre at the locus of sound information source.
6. method according to claim 5, it is characterised in that the step (4) includes：
(411) identity information claimed according to people to be identified, determines the frontal face image that people to be identified claims；
(412) sharpness information is added on the frontal face image, obtained with reference to identification image；
(413) it is compared described with reference to identification image and the actual three dimensional face image information of people to be identified, it is determined that actual
Facial zone in three dimensional face image information；
(414) in the facial zone in the actual three dimensional face image information, the actual three dimensional face image letter is determined
Match information between the frontal face image that breath and the people to be identified claim, the match information includes i with each of face
Deformed region based on the physiological characteristic at position, wherein i are more than 10；
(415) the deformation coefficient respectively α of the i deformed regions is seti, according to centered on each deformed region, change
Conformal analysis radius r calculates for the following formula in multiple neighborhoods of radius, it is determined that calculate obtained minimum value it is corresponding, as center
Deformed region Amin, and the maximum value that calculating is obtained is corresponding, deformed region A as centermax：
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Distance between deformed regions of the wherein r for some deformed region and around it, the deformation coefficient αiFor with to be identified
In each physiological characteristic region based on the physiological characteristic at each position for the frontal face image that people claims, the life is represented
Manage the number that the pixel of the profile of feature occurs in the relevant position with reference to identification image；
(416) using T as the cycle, to the deformed region AminBelieve at where center for the actual three dimensional face image of picture centre
Breath carries out p secondary acquisition, therefrom extracts two-dimentional face-image, and the two dimension face figure being extracted within each cycle described in determination
Sharpness information between the frontal face image that picture and the people to be identified claimThe sharpness informationWith to be identified
Based on the physiological characteristic at facial each position of people, quantity and j >=5 of the j for each position of face；
(417) with each secondary acquisition during obtainBuild definition discrimination matrix, each behavior of the matrix some two
The facial corresponding definition in each position of the people to be identified obtained during secondary collection, each of the matrix is classified as to people to be identified
Some facial position carry out the definition obtained during each secondary acquisition, i.e.,：First time collection during secondary acquisition
The facial corresponding definition in each position of obtained people to be identified is the first row, the face of the people to be identified collected for the second time
The corresponding definition in each position in portion is the second row, by that analogy；
(418) the variance D of each row of the definition discrimination matrix is calculatedq, wherein q is the columns of the definition discrimination matrix；
(419) variance D in the definition discrimination matrix is removedqMaximum sharpness informationThe row at place, is obtained by processing
Definition discrimination matrix；
(420) for each row in the treated definition discrimination matrix, following after-treatment is carried out successively：According to right
Centered on each deformed region, the deformation analysis radius r be that following formula in multiple neighborhoods of radius is calculated, it is determined that calculating
The minimum value arrived：
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(421) geometric center of the corresponding deformed region as center of minimum value obtained in the after-treatment is made
For initial position, the positional information of the geometric center is used as initial position message.
7. method according to claim 3, it is characterised in that the rain estimation drops according in meteorology the preceding paragraph time
Water is the criteria for classifying.
8. according to the method described in claim 1, it is characterised in that methods described also includes what is claimed according to the people to be identified
Identity information and the actual identity information of people to be identified, determine the safety precaution grade of gate control system.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710422219.4A CN107239764A (en) | 2017-06-07 | 2017-06-07 | A kind of face identification method of DNR dynamic noise reduction |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710422219.4A CN107239764A (en) | 2017-06-07 | 2017-06-07 | A kind of face identification method of DNR dynamic noise reduction |
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| CN107239764A true CN107239764A (en) | 2017-10-10 |
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| JP2005301722A (en) * | 2004-04-13 | 2005-10-27 | Matsushita Electric Ind Co Ltd | Face region detector |
| CN101512549A (en) * | 2006-08-11 | 2009-08-19 | 快图影像有限公司 | Real-time face tracking in a digital image acquisition device |
| CN102663354A (en) * | 2012-03-26 | 2012-09-12 | 腾讯科技（深圳）有限公司 | Face calibration method and system thereof |
| CN102799877A (en) * | 2012-09-11 | 2012-11-28 | 上海中原电子技术工程有限公司 | Method and system for screening face images |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005301722A (en) * | 2004-04-13 | 2005-10-27 | Matsushita Electric Ind Co Ltd | Face region detector |
| CN101512549A (en) * | 2006-08-11 | 2009-08-19 | 快图影像有限公司 | Real-time face tracking in a digital image acquisition device |
| CN102663354A (en) * | 2012-03-26 | 2012-09-12 | 腾讯科技（深圳）有限公司 | Face calibration method and system thereof |
| CN102799877A (en) * | 2012-09-11 | 2012-11-28 | 上海中原电子技术工程有限公司 | Method and system for screening face images |
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Application publication date: 20171010 |