CN106295301A - Control method, control device and home appliance system - Google Patents
Control method, control device and home appliance system Download PDFInfo
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- CN106295301A CN106295301A CN201610677164.7A CN201610677164A CN106295301A CN 106295301 A CN106295301 A CN 106295301A CN 201610677164 A CN201610677164 A CN 201610677164A CN 106295301 A CN106295301 A CN 106295301A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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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
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- 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
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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Abstract
The open a kind of control method of the present invention, control method includes: obtain the facial image of active user；Process described facial image to identify that whether described active user is as authorized user；The user setup that described authorized user is corresponding is called when described active user is described authorized user；And control described household electrical appliance and run according to described user setup.So, user individual can be called by recognition of face and arrange, and without complicated user operation, improve Consumer's Experience.Invention additionally discloses a kind of control device and home appliance system.
Description
Technical field
The present invention relates to household appliance technical field, particularly to a kind of control method, control device and home appliance system.
Background technology
Along with the development of technology, present household electrical appliance provide increasingly abundanter function, and it is individual to allow user to carry out
Propertyization is arranged, and such as, the various mode of operation of existing domestic air conditioning, arranges the functions such as temperature, wind direction, wind speed, timing,
But, the most also making troubles to user operation, user just can obtain personal settings by numerous and diverse arranging every time, makes
With inconvenience.
Summary of the invention
Embodiments of the present invention are intended at least to solve one of technical problem present in prior art.To this end, the present invention
Embodiment need a kind of control method to be provided, controls device and home appliance system.
The present invention provides a kind of control method, and described control method comprises the following steps:
Obtain the facial image of active user；
Process described facial image to identify that whether described active user is as authorized user；
The user setup that described authorized user is corresponding is called when described active user is described authorized user；And
Control described household electrical appliance to run according to described user setup.
In some embodiments, the described facial image of described process is to identify that whether described active user is as authorized user
Step include following sub-step:
Set up fisrt feature storehouse；
Described facial image is divided into multiple subregion；
Process each described subregion to extract the characteristic point of the first predetermined quantity；
Whether subregion described in the feature point detection according to described first predetermined quantity includes face；
Described subregion is processed to extract the characteristic point of the second predetermined quantity when described subregion includes face, described second pre-
The characteristic point of determined number is more than the characteristic point of described first predetermined quantity；And
Characteristic point according to described second predetermined quantity carries out mating to identify face with described fisrt feature storehouse.
In some embodiments, the characteristic point of described first predetermined quantity is 10-20.
In some embodiments, the characteristic point of described second predetermined quantity is more than 200.
In some embodiments, the described facial image of described process is to identify that whether described active user is as authorized user
Step also include following sub-step:
When described subregion does not include face, ignore described subregion.
In some embodiments, the described facial image of described process is to identify that whether described active user is as authorized user
Step include following sub-step:
Setting up second feature storehouse, described second feature storehouse includes the sample characteristics line between the positive face of authorized user and side face
Length range；
Process described facial image to extract the current signature point of described active user；
Determine current signature line according to described current signature point and calculate the current length of described current signature line；And
Described authorized user whether is belonged to according to active user described in described current length and described length range identification.
In some embodiments, the described step setting up second feature storehouse includes following sub-step:
Obtain the positive face image treating authorized user；
Process described positive face image to treat the positive face characteristic point of authorized user described in extraction；
Positive face characteristic curve length is calculated according to described positive face characteristic point；
The side face image of authorized user is treated described in acquisition；
Process described side face image to treat the side face characteristic point of authorized user described in extraction；
According to described side face characteristic point calculation side face characteristic curve length；And
Described length range is determined according to described positive face characteristic curve length and described side face characteristic curve length.
In some embodiments, described sample characteristics line, described current signature line, described positive face characteristic curve and described side
Face characteristic curve includes the connecting line of two pupils and/or the bottom wheel profile of nose.
In some embodiments, described positive face deflection predetermined angular obtains described side face, and described predetermined angular is less than 45
Degree.
In some embodiments, described second feature storehouse also includes longitudinal characteristic curve of described authorized user, described
The step whether belonging to described authorized user according to active user described in described current length and described length range identification includes:
Judge whether described current length falls into described length range；And
Current longitudinal characteristic curve of described active user is obtained when described current length falls into described length range；
Described authorized user whether is belonged to according to described longitudinal characteristic curve length identification active user.
In some embodiments, the quantity of described authorized user is less than 10.
In some embodiments, described control method is called when described active user is for described authorized user described
Comprise the following steps after the step of the user setup that described authorized user is corresponding:
Accept user's current setting；
According to user setup described in described user's current setting iteration.
Embodiment of the present invention also provides for a kind of control device, is used for controlling household electrical appliance, it is characterised in that described control
Device includes:
Acquisition module, described acquisition module is for obtaining the facial image of active user；
Identification module, described identification module is used for processing described facial image to identify that whether described active user is as mandate
User；
Calling module, described calling module is used for calling described mandate when described active user is for described authorized user
The user setup that family is corresponding；
Control module, described control module is used for controlling described household electrical appliance and runs according to described user setup.
In some embodiments, described identification module includes:
Fisrt feature storehouse；
Cutting unit, described cutting unit is for being divided into multiple subregion by described image；
First extraction unit, described first extraction unit is for processing each described subregion to extract the first predetermined quantity
Characteristic point；
Face datection unit, described Face datection unit is for according to described in the feature point detection of described first predetermined quantity
Whether subregion includes face；
Second extraction unit, described second extraction unit for processing described subregion to carry when described subregion includes face
Taking the characteristic point of the second predetermined quantity, the characteristic point of described second predetermined quantity is more than the characteristic point of described first predetermined quantity；
Matching unit, described matching unit is for the characteristic point according to described second predetermined quantity and described fisrt feature storehouse
Carry out mating to identify face.
In some embodiments, the characteristic point of described first predetermined quantity is 10-20.
In some embodiments, the characteristic point of described second predetermined quantity is more than 200.
In some embodiments, described identification module also includes:
Ignore unit, described in ignore unit for when described subregion does not include face, ignoring described subregion.
In some embodiments, described identification module also includes:
Second feature storehouse, described second feature storehouse includes the length of the sample characteristics line between the positive face of authorized user and side face
Scope；
Extraction unit, described extraction unit is for processing described facial image to extract the current signature of described active user
Point；
Computing unit, described computing unit is for determining current signature line according to described current signature point and calculating described working as
The current length of front characteristic curve.
Recognition unit, described recognition unit is for currently using according to described current length and described length range identification
Whether family belongs to described authorized user.
In some embodiments, described second feature storehouse includes:
Obtain subelement, for obtaining, described acquisition subelement treats that authorized user is treated in the positive face image of authorized user and acquisition
Side face image；
Processing subelement, described process subelement treats that authorized user is just for processing described positive face image described in extracting
Face characteristic point and process described side face image and treat the side face characteristic point of authorized user described in extracting；
Computation subunit, described computation subunit is for calculating positive face characteristic curve length and root according to described positive face characteristic point
According to described side face characteristic point calculation side face characteristic curve length.
Determine subelement, described determine that subelement is for according to described positive face characteristic curve length and described side face feature line length
Degree determines described length range.
In some embodiments, described sample characteristics line, described current signature line, described positive face characteristic curve and described side
Face characteristic curve includes the connecting line of two pupils and/or the bottom wheel profile of nose.
In some embodiments, described positive face deflection predetermined angular obtains described side face, and described predetermined angular is less than 45
Degree.
In some embodiments, described second feature storehouse also includes longitudinal characteristic curve of described authorized user, described knowledge
Other unit includes:
Judgment sub-unit, described judgment sub-unit is used for judging whether described current length falls into described length range；
Obtaining subelement, described acquisition subelement is described for obtaining when described current length falls into described length range
Current longitudinal characteristic curve of active user；
Identifying subelement, whether described identification subelement is for belonging to according to described longitudinal characteristic curve length identification active user
In described authorized user.
In some embodiments, the quantity of described authorized user is less than 10.
In some embodiments, described calling module includes:
Receiving unit, described reception unit is used for accepting user's current setting；
Iteration unit, described iteration unit is for according to user setup described in described user's current setting iteration.
Embodiment of the present invention also provides for a kind of home appliance system, including household electrical appliance and described control device, described
Control device to be used for controlling described household electrical appliance.
The control method of embodiment of the present invention and described control device, described home appliance system are by obtaining described working as
The facial image of front user and identify whether described active user is described authorized user, when being judged as described authorized user
Call this user setup with for running described household electrical appliance.So, it is not necessary to complicated user operation also can call personalization
Arrange, improve Consumer's Experience.
The additional aspect of embodiments of the present invention and advantage will part be given in the following description, and part will be from following
Description in become obvious, or recognized by the practice of embodiments of the present invention.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the control method of embodiment of the present invention.
Fig. 2 is the high-level schematic functional block diagram of the home appliance system of embodiment of the present invention.
Fig. 3 is a sub-flow chart of the control method of embodiment of the present invention.
Fig. 4 is the high-level schematic functional block diagram of the identification module controlled in device of embodiment of the present invention.
Fig. 5 be embodiment of the present invention control device in facial image schematic diagram.
Fig. 6 is another sub-process figure in the control method of embodiment of the present invention.
Fig. 7 is another high-level schematic functional block diagram of the identification module controlled in device of embodiment of the present invention.
Fig. 8 is another sub-process figure in the control method of embodiment of the present invention.
Fig. 9 is the high-level schematic functional block diagram in the second feature storehouse controlled in device of embodiment of the present invention.
Figure 10 is the positive face controlled in device and the side face feature schematic diagram of embodiment of the present invention.
Figure 11 is the schematic diagram in the second feature storehouse controlled in device of embodiment of the present invention.
Figure 12 is another sub-process figure in the control method of embodiment of the present invention.
Figure 13 is the another high-level schematic functional block diagram of the recognition unit controlled in device of embodiment of the present invention.
Figure 14 is another sub-process figure in the control method of embodiment of the present invention.
Figure 15 is the high-level schematic functional block diagram of the calling module controlled in device of embodiment of the present invention.
Detailed description of the invention
Embodiments of the present invention are described below in detail, and the example of embodiment is shown in the drawings, the most identical or class
As label represent same or similar element from start to finish or there is the element of same or like function.Below with reference to attached
The embodiment that figure describes is exemplary, is only used for explaining embodiments of the present invention, and it is not intended that to the present invention's
The restriction of embodiment.
Referring to Fig. 1, the method for the control of embodiment of the present invention comprises the following steps:
S12, obtains the facial image of active user；
S14, processes facial image to identify that whether active user is as authorized user；
S16, calls the user setup that authorized user is corresponding when active user is for authorized user；
S18, controls household electrical appliance and runs according to user setup；
Seeing also Fig. 2, the method for the control of embodiment of the present invention can be filled by the control of embodiment of the present invention
Put 10 realizations.Control device 10 and include acquisition module 12, identification module 14, calling module 16 and control module 18.Step S12 can
To be realized by acquisition module 12.Step S14 can be realized by identification module 14.Step S16 can be realized by calling module 16.Step
Rapid S18 can be realized by control module 18.
It is to say, acquisition module 12 is for obtaining the facial image of active user.Identification module 14 is used for processing face
Image is to identify that whether active user is as authorized user.Calling module 16 is for calling mandate when active user is for authorized user
The user setup that user is corresponding.Control module 18 is used for controlling household electrical appliance and runs according to user setup.
Control method and the control device 10 of embodiment of the present invention can apply in household electrical appliance 20, thus constitute house
Electrical appliance system 100.Home appliance system 100 includes controlling device 10 and household electrical appliance 20 in other words, controls device 10 and is used for
Control household electrical appliance 20.
The control method of embodiment of the present invention and control device 10, home appliance system are by obtaining the people of active user
Face image and identify whether active user is authorized user, calls this user setup with for transporting when being judged as authorized user
Expert's electrical appliance 20.So, it is not necessary to complicated user operation also can call personal settings, improves Consumer's Experience.
In some embodiments, acquisition module 12 can include imaging device.Imaging device can be arranged on household electric
On the control panel of device or remote controller.Such as, household electrical appliance can be central air-conditioning, and imaging device can be with centrally disposed sky
Adjust the control panel being arranged on body of wall, and then the facial image of active user can be obtained by imaging device.
Referring to Fig. 3, in some embodiments, step S14 includes following sub-step:
S141, sets up fisrt feature storehouse；
S142, is divided into multiple subregion by facial image；
S143, processes each subregion to extract the characteristic point of the first predetermined quantity；
Whether S144, include face according to the feature point detection subregion of the first predetermined quantity；
S145, when subregion includes face, process subregion is to extract the characteristic point of the second predetermined quantity, the second predetermined quantity
Characteristic point more than the characteristic point of the first predetermined quantity；And
S146, carries out mating to identify face with fisrt feature storehouse according to the characteristic point of the second predetermined quantity.
Seeing also Fig. 4 and Fig. 5, in some embodiments, identification module 14 includes fisrt feature storehouse 141, segmentation
Unit the 142, first extraction unit 143, Face datection unit the 144, second extraction unit 145 and matching unit 146.Step S141
Can be by cutting unit the 142, first extraction unit 143, Face datection unit the 144, second extraction unit 145 and matching unit
146 realize jointly.Step S142 can be realized by cutting unit 142.Step S143 can be realized by the first extraction unit 143.
Step S144 can be realized by Face datection unit 144.Step S145 can be realized by the second extraction unit 145.Step S146
Can be realized by matching unit 146.
It is to say, cutting unit 142 for being divided into multiple subregion 1420 by facial image.First extraction unit 143
For processing each subregion 1420 to extract the characteristic point 1422 of the first predetermined quantity.Face datection unit 144 is for according to the
Whether characteristic point 1422 sense partitions 1420 of one predetermined quantity includes face.Second extraction unit 145 is at subregion 1420
Including process subregion 1420 during face to extract the characteristic point 1424 of the second predetermined quantity, the characteristic point 1424 of the second predetermined quantity
Characteristic point 1422 more than the first predetermined quantity.Second extraction unit 146 is for the characteristic point 1424 according to the second predetermined quantity
Carry out mating to identify face with fisrt feature storehouse 141.
Feature database 141 can be set up by graphical analysis and machine learning techniques, for example, it is possible to by figure repeatedly
As analyzing the sample characteristics point obtaining targeted customer, it is stored in feature database 141 as one group of sample characteristics point.So, target is used
Family is authorized to, and can log in or control embedded system by the way of recognition of face.For example, it is possible to come by recognition of face
Control household electrical appliance.
The sample characteristics point of targeted customer may be used for recognition of face, and identification module 14 can be by repeatedly while identifying
Constantly being updated the sample characteristics point of targeted customer for algorithm, such as machine can the people of continuous repetitive learning targeted customer
The characteristic point of face, and by study to the characteristic point of face of targeted customer update feature database 141, such that it is able to improve mesh
The accuracy rate of the recognition of face of mark user.
In some embodiments, image can use the method for the subregions such as 3*3 to split image.
Certainly, the partitioning scheme of image is not limited to present embodiment, and can use other satisfactory segmentation sides
Formula.
In some embodiments, the first extraction unit 143 may be used for presetting the characteristic point 1422 of the first predetermined quantity.
The characteristic point 1422 extracting the first predetermined quantity can use existing feature point extraction technology.Characteristic point can be use up
Amount is evenly distributed on subregion 1420, so, beneficially Face datection.
It is appreciated that the first predetermined quantity is the least, more advantageously reduces amount of calculation, but, the first predetermined quantity is too small, can
Can cause realizing Face datection, or Face datection result.Therefore, in some embodiments, according to Face datection
Requirement and the control requirement of amount of calculation, the characteristic point 1422 of the first predetermined quantity is 10-20.
In some embodiments, the second extraction unit 145 may be used for presetting the characteristic point 1424 of the second predetermined quantity.
The characteristic point 1424 of the second predetermined quantity can be extracted the first predetermined quantity characteristic point 1422 point
Human face characteristic point is extracted on the basis of district 1420.Matching request according to sample characteristics point and the control requirement of amount of calculation, the
The characteristic point 1424 of two predetermined quantities is more than 200.
So, identification module 14 extracts the characteristic point of more than 200 on the basis of having determined as human face region, identifies
Module 14 may thereby determine that user identity, reduces operand, reduces error rate.
In some embodiments, identification module 14, for when subregion 1420 does not include face, ignores subregion 1420.
Imaging device cannot realize the identification in non-face region when obtaining image, and identification module 14 then can be at face
Detector unit 144 detects can ignore subregion 1420 when subregion is non-face region.So, the district not including face is ignored
Territory, it is possible to reduce operand, improves operational efficiency.
Referring to Fig. 6, step S14 comprises the following steps:
S140, sets up second feature storehouse, and second feature storehouse includes the sample characteristics line between the positive face of authorized user and side face
Length range；
S147, processes facial image to extract the current signature point of active user；
S148, determines current signature line according to current signature point and calculates the current length of current signature line；And
Whether S149, belong to authorized user according to active user described in current length and length range identification.
Seeing also Fig. 7, in some embodiments, identification module 14 also includes second feature storehouse 140, extraction unit
147, computing unit 148 and recognition unit 149.Step S140 can be by extraction unit 147, computing unit 148 and recognition unit
149 realize jointly.Step S147 can be realized by extraction unit 147.Step S148 can be realized by computing unit 148.Step
S149 can be realized by recognition unit 149.
It is to say, extraction unit 147, computing unit 148 and recognition unit 149 can be set up in second feature storehouse 140
Stage is for obtaining the length range of the sample characteristics line between the positive face of authorized user and side face.Extraction unit 147 may be used for
Process facial image to extract the current signature point of active user.Computing unit 148 may be used for determining according to current signature point
Current signature line also calculates the current length of current signature line.Recognition unit 149 may be used for according to current length and length model
Enclose whether the described active user of identification belongs to authorized user.
The identification module 14 controlled in device 10 of embodiment of the present invention only just can pass through side by the length of characteristic curve
Whether face image recognition active user is authorized user, relative to existing face identification method, significantly reduces amount of calculation, from
And cost can be reduced.
Referring to Fig. 8, in some embodiments, step S140 comprises the following steps:
S1402a, it is thus achieved that treat the positive face image of authorized user；
S1404a, processes positive face image to extract the positive face characteristic point treating authorized user；
S1406a, calculates positive face characteristic curve length according to positive face characteristic point；
S1402b, it is thus achieved that treat the side face image of authorized user；
S1404b, processes side face image to extract the side face characteristic point treating authorized user；
S1406b, according to side face characteristic point calculation side face characteristic curve length；And
S1408, determines length range according to positive face characteristic curve length and side face characteristic curve length.
See also Fig. 9 and Figure 10, in some embodiments, second feature storehouse 140 by obtain subelement 1402,
Manage subelement 1404, computation subunit 1406 and determine that subelement 1408 realizes jointly.Step S1402a and step S1402b can
To be realized by acquisition subelement 1402.Step S1404a and S1404b can be realized by processing subelement 1404.Step S1406a
And step S1406b can be realized by computation subunit 1406.Step S1408 can be by determining that subelement 1408 realizes.
Treat the positive face image 30Z of authorized user it is to say, acquisition subelement 1402 may be used for obtaining and wait to authorize use
The side face image 30C at family.Process subelement 1404 for processing positive face image 30Z to extract the positive face characteristic point treating authorized user
302Z and process side face image 30C is to extract the side face characteristic point 302C treating authorized user.Computation subunit 1406 is for basis
Positive face characteristic point 302Z calculates positive face characteristic curve length and according to side face characteristic point 302C calculation side face characteristic curve length.Determine son
Unit 1408 is for determining length range according to positive face characteristic curve length and side face characteristic curve length.
So, the foundation of feature database 141 is also simplified, and reduces amount of calculation, therefore can reduce cost, be used for calculating energy
Device that power is limited or equipment.
Referring to Figure 11, in some embodiments, acquisition subelement 1402 can obtain treats the interpupillary distance of authorized user, nose
The width of sub-bottom wheel profile and the width of face.The data of acquisition are stored in second feature storehouse by computation subunit 1404
To be used for opening user's typing pattern in 140.Such as, control device 10 can be obtained by graphical analysis repeatedly to wait to authorize and use
The positive face at family and the facial image of side face, read positive face and the interpupillary distance scope of side face, the nose bottom wheel profile treating authorized user
Width and the width of face, and be recorded as 5-7cm, 1-1.6cm, 3-3.5cm respectively.Computation subunit 1404 will obtain
Data be stored in second feature storehouse 140 as the characteristic curve length range numerical value of one group of authorized user.
In some embodiments, the group of the characteristic curve length range numerical value of the authorized user of second feature storehouse 140 storage
Number could be arranged to 3-5 group.Such as, in actual applications, control device 10 and be generally used for the system of household electrical appliance, it is contemplated that
The disposal ability of the system of household electrical appliance is limited, and the operation of household electrical appliance or control authorized user are generally limited to family
Member, therefore the group number of the characteristic curve length scale numerical value of authorized user's facial image can be 3-5 group.
In some embodiments, positive face deflection predetermined angular obtains side face, and predetermined angular is less than 45 degree.
Control device 10 and may be used for side face identification.Obtain subelement 1402 and obtain positive face and the side face treating authorized user
During image, first obtain the characteristic curve 304Z treating the positive face of authorized user, then when positive face deflection predetermined angular, obtain subelement
The 1402 side face characteristic curve 304C obtaining user.The characteristic curve of the side face angle obtained is the most inclined more good, such recognition of face
Scope is wide, but when the predetermined angular of the side face obtained is more than 45 degree, extraction unit 147 is difficult to extract the accurate of face characteristic line
Numerical value, and recognition unit 149 trouble in human face recognition image.
Referring to Figure 12, in some embodiments, second feature storehouse 140 also includes longitudinal characteristic curve of authorized user,
Step S149 is further comprising the steps of:
S1492, it is judged that whether current length falls into length range；And
S1494, obtains current longitudinal characteristic curve of active user when current length falls into length range；
Whether S1496, belong to authorized user according to longitudinal characteristic curve length identification active user.
Seeing also Figure 13, in some embodiments, recognition unit 149 includes judgment sub-unit 1492, obtains son
Unit 1494 and identification subelement 1496.Step S1492 can be realized by judgment sub-unit 1492.Step S1494 can be by obtaining
Take subelement 1494 to realize.Step S1496 can be by identifying that subelement 1496 realizes.It is to say, judgment sub-unit 1492 is used
In judging whether current length falls into length range.Obtain subelement 1494 for obtaining when current length falls into length range
Current longitudinal characteristic curve of active user.Identify that according to longitudinal characteristic curve length identification active user whether subelement 1496 for
Belong to authorized user.
In embodiments of the present invention, in the case of the length judging active user's transverse features line falls into length range
Also obtain the length of active user's longitudinal direction characteristic curve, and by length and the second feature storehouse 140 of longitudinal characteristic curve that obtain
Data are mated.Such as, longitudinal characteristic curve of acquisition includes the length of nose, and the length of nose at positive face with side face
Numerical value is just as.So, identification module 149 to transverse features line length judge while further to longitudinal feature
Line length is identified, and then, the accuracy rate of side face identification can be improved.
Referring to Figure 14, step S16 comprises the following steps:
S162, accepts user's current setting；
S164, is arranged according to user's current setting iterative user.
Seeing also Figure 15, in some embodiments, calling module 16 includes receiving unit 162 and arranging unit
164.Step S162 can be realized by receiving unit 162.Step S164 can be realized by arranging unit 164.It is to say, accept
Unit 162 may be used for accepting user's current setting.Arrange unit 164 to may be used for setting according to user's current setting iterative user
Put.
In embodiments of the present invention, calling module 16 is arranged according to user's current setting iterative user, and will constantly
The user setup of iteration updates in customer data base.Such as, when user arranges household electrical appliance parameter for the first time, calling module
16 use this secondary data parameter, and when the parameter of user's second time change household electrical appliance, calling module 16 then calls second time
The Data Control household electrical appliance of change run.
In the description of embodiments of the present invention, it should be noted that unless otherwise clearly defined and limited, term
" install ", " being connected ", " connection " should be interpreted broadly, and connect for example, it may be fixing, it is also possible to be to removably connect, or one
Body ground connects；Can be mechanically connected, it is also possible to be electrical connection or can mutually communication；Can be to be joined directly together, it is also possible to logical
Cross intermediary to be indirectly connected to, can be connection or the interaction relationship of two elements of two element internals.For ability
For the those of ordinary skill in territory, above-mentioned term specifically containing in embodiments of the present invention can be understood as the case may be
Justice.
In embodiments of the present invention, unless otherwise clearly defined and limited, fisrt feature second feature it
On " " or D score can include that the first and second features directly contact, it is also possible to include that the first and second features are not directly to connect
Touch but by the other characterisation contact between them.And, fisrt feature second feature " on ", " top " and " on
Face " include fisrt feature directly over second feature and oblique upper, or it is special higher than second to be merely representative of fisrt feature level height
Levy.Fisrt feature second feature " under ", " lower section " and " below " include that fisrt feature is immediately below second feature and tiltedly under
Side, or it is merely representative of fisrt feature level height less than second feature.
Following disclosure provides many different embodiments or example for realizing embodiments of the present invention not
Same structure.In order to simplify the disclosure of embodiments of the present invention, hereinafter parts and setting to specific examples are described.When
So, they are the most merely illustrative, and are not intended to limit the present invention.Additionally, embodiments of the present invention can be in different examples
Repeat reference numerals and/or reference letter in son, this repetition is for purposes of simplicity and clarity, and itself does not indicate and is begged for
Relation between the various embodiments of opinion and/or setting.Additionally, the various specific technique that embodiments of the present invention provide
With the example of material, but those of ordinary skill in the art are it can be appreciated that the making of the application of other techniques and/or other materials
With.
In the description of this specification, reference term " embodiment ", " some embodiments ", " schematically implement
Mode ", " example ", the description of " concrete example " or " some examples " etc. mean to combine described embodiment or example describes tool
Body characteristics, structure, material or feature are contained at least one embodiment or the example of the present invention.In this manual,
The schematic representation of above-mentioned term is not necessarily referring to identical embodiment or example.And, the specific features of description, knot
Structure, material or feature can combine in any one or more embodiments or example in an appropriate manner.
In flow chart or at this, any process described otherwise above or method description are construed as, and expression includes
One or more is for realizing the module of code, fragment or the portion of the executable instruction of the step of specific logical function or process
Point, and the scope of the preferred embodiment of the present invention includes other realization, wherein can not by shown or discuss suitable
Sequence, including according to involved function by basic mode simultaneously or in the opposite order, performs function, and this should be by the present invention
Embodiment person of ordinary skill in the field understood.
Represent in flow charts or the logic described otherwise above at this and/or step, for example, it is possible to be considered as to use
In the sequencing list of the executable instruction realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (system such as computer based system, including processor or other can hold from instruction
Row system, device or equipment instruction fetch also perform the system instructed) use, or combine these instruction execution systems, device or set
Standby and use.For the purpose of this specification, " computer-readable medium " can be any can to comprise, store, communicate, propagate or pass
Defeated program is for instruction execution system, device or equipment or combines these instruction execution systems, device or equipment and the dress that uses
Put.The more specifically example (non-exhaustive list) of computer-readable medium includes following: have the electricity of one or more wiring
Connecting portion (electronic installation), portable computer diskette box (magnetic device), random access memory (RAM), read only memory
(ROM), erasable read only memory (EPROM or flash memory), the fiber device edited, and portable optic disk is read-only deposits
Reservoir (CDROM).It addition, computer-readable medium can even is that and can print the paper of described program thereon or other are suitable
Medium, because then can carry out editing, interpreting or if desired with it such as by paper or other media are carried out optical scanning
His suitable method is processed to electronically obtain described program, is then stored in computer storage.
Should be appreciated that each several part of embodiments of the present invention can use hardware, software, firmware or combinations thereof to come in fact
Existing.In the above-described embodiment, multiple steps or method can be with storing in memory and by suitable instruction execution system
The software or the firmware that perform realize.Such as, if realized with hardware, with the most the same, available ability
Any one or their combination in following technology known to territory realize: have for data signal is realized logic function
The discrete logic of logic gates, has the special IC of suitable combination logic gate circuit, programmable gate array
(PGA), field programmable gate array (FPGA) etc..
Those skilled in the art are appreciated that and realize all or part of step that above-described embodiment method is carried
Suddenly the program that can be by completes to instruct relevant hardware, and described program can be stored in a kind of computer-readable storage medium
In matter, this program upon execution, including one or a combination set of the step of embodiment of the method.
Additionally, each functional unit in various embodiments of the present invention can integrated in a processor, it is also possible to
It is that unit is individually physically present, it is also possible to two or more unit are integrated in a module.Above-mentioned integrated mould
Block both can realize to use the form of hardware, it would however also be possible to employ the form of software function module realizes.Described integrated module is such as
When fruit is using the form realization of software function module and as independent production marketing or use, it is also possible to be stored in a computer
In read/write memory medium.
Storage medium mentioned above can be read only memory, disk or CD etc..
Although above it has been shown and described that embodiments of the invention, it is to be understood that above-described embodiment is example
Property, it is impossible to being interpreted as limitation of the present invention, those of ordinary skill in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, revises, replaces and modification.
Claims (25)
1. a control method, is used for controlling household electrical appliance, it is characterised in that described control method comprises the following steps:
Obtain the facial image of active user；
Process described facial image to identify that whether described active user is as authorized user；
The user setup that described authorized user is corresponding is called when described active user is described authorized user；And
Control described household electrical appliance to run according to described user setup.
2. control method as claimed in claim 1, it is characterised in that the described facial image of described process is described currently with identification
Whether user is that the step of authorized user includes following sub-step:
Set up fisrt feature storehouse；
Described facial image is divided into multiple subregion；
Process each described subregion to extract the characteristic point of the first predetermined quantity；
Whether subregion described in the feature point detection according to described first predetermined quantity includes face；
Described subregion is processed to extract the characteristic point of the second predetermined quantity, described second predetermined number when described subregion includes face
The characteristic point of amount is more than the characteristic point of described first predetermined quantity；And
Characteristic point according to described second predetermined quantity carries out mating to identify face with described fisrt feature storehouse.
3. control method as claimed in claim 2, it is characterised in that the characteristic point of described first predetermined quantity is 10-20.
4. control method as claimed in claim 2, it is characterised in that the characteristic point of described second predetermined quantity is more than 200.
5. control method as claimed in claim 1, it is characterised in that the described facial image of described process is described currently with identification
Whether user is that the step of authorized user is further comprising the steps of:
When described subregion does not include face, ignore described subregion.
6. control method as claimed in claim 1, it is characterised in that the described facial image of described process is described currently with identification
Whether user is that the step of authorized user comprises the following steps:
Setting up second feature storehouse, described second feature storehouse includes the length of the sample characteristics line between the positive face of authorized user and side face
Scope；
Process described facial image to extract the current signature point of described active user；
Determine current signature line according to described current signature point and calculate the current length of described current signature line；And
Described authorized user whether is belonged to according to active user described in described current length and described length range identification.
7. control method as claimed in claim 6, it is characterised in that the described step setting up second feature storehouse includes following son
Step:
Obtain the positive face image treating authorized user；
Process described positive face image to treat the positive face characteristic point of authorized user described in extraction；
Positive face characteristic curve length is calculated according to described positive face characteristic point；
The side face image of authorized user is treated described in acquisition；
Process described side face image to treat the side face characteristic point of authorized user described in extraction；
According to described side face characteristic point calculation side face characteristic curve length；And
Described length range is determined according to described positive face characteristic curve length and described side face characteristic curve length.
8. control method as claimed in claim 7, it is characterised in that described sample characteristics line, described current signature line, described
Positive face characteristic curve and described side face characteristic curve include the connecting line of two pupils and/or the bottom wheel profile of nose.
9. control method as claimed in claim 6, it is characterised in that described positive face deflection predetermined angular obtains described side face,
Described predetermined angular is less than 45 degree.
10. control method as claimed in claim 6, it is characterised in that described second feature storehouse also includes described authorized user
Longitudinal characteristic curve, described according to active user described in described current length and described length range identification whether belong to described in award
The step of power user includes:
Judge whether described current length falls into described length range；And
Current longitudinal characteristic curve of described active user is obtained when described current length falls into described length range；
Described authorized user whether is belonged to according to described longitudinal characteristic curve length identification active user.
11. control methods as claimed in claim 1, it is characterised in that the quantity of described authorized user is less than 10.
12. control methods as claimed in claim 1, it is characterised in that described control method described described active user
Comprise the following steps after calling the step of user setup corresponding to described authorized user during for described authorized user:
Accept user's current setting；
According to user setup described in described user's current setting iteration.
13. 1 kinds control device, are used for controlling household electrical appliance, it is characterised in that described control device includes:
Acquisition module, described acquisition module is for obtaining the facial image of active user；
Identification module, described identification module is used for processing described facial image to identify whether described active user is to authorize to use
Family；
Calling module, described calling module is for calling described authorized user couple when described active user is described authorized user
The user setup answered；
Control module, described control module is used for controlling described household electrical appliance and runs according to described user setup.
14. control device as claimed in claim 13, it is characterised in that described identification module includes:
Fisrt feature storehouse；
Cutting unit, described cutting unit is for being divided into multiple subregion by described image；
First extraction unit, described first extraction unit is for processing each described subregion to extract the feature of the first predetermined quantity
Point；
Face datection unit, described Face datection unit is for according to subregion described in the feature point detection of described first predetermined quantity
Whether include face；
Second extraction unit, described second extraction unit for processing described subregion to extract the when described subregion includes face
The characteristic point of two predetermined quantities, the characteristic point of described second predetermined quantity is more than the characteristic point of described first predetermined quantity；
Matching unit, described matching unit is for carrying out with described fisrt feature storehouse according to the characteristic point of described second predetermined quantity
Coupling is to identify face.
15. control device as claimed in claim 14, it is characterised in that the characteristic point of described first predetermined quantity is 10-20
Individual.
16. control device as claimed in claim 14, it is characterised in that the characteristic point of described second predetermined quantity is more than 200
Individual.
17. control device as claimed in claim 13, it is characterised in that described identification module also includes:
Ignore unit, described in ignore unit for when described subregion does not include face, ignoring described subregion.
18. control device as claimed in claim 13, it is characterised in that described identification module also includes:
Second feature storehouse, described second feature storehouse includes the length model of the sample characteristics line between the positive face of authorized user and side face
Enclose；
Extraction unit, described extraction unit is for processing described facial image to extract the current signature point of described active user；
Computing unit, described computing unit is for determining current signature line according to described current signature point and calculating described current spy
Levy the current length of line.
Recognition unit, described recognition unit is for according to active user described in described current length and described length range identification being
No belong to described authorized user.
19. control device as claimed in claim 18, it is characterised in that described second feature storehouse includes:
Obtaining subelement, described acquisition subelement is for obtaining the side treating that authorized user is treated in the positive face image of authorized user and acquisition
Face image；
Processing subelement, described process subelement treats that the positive face of authorized user is special for processing described positive face image described in extracting
Levy a little and process described side face image to treat the side face characteristic point of authorized user described in extraction；
Computation subunit, described computation subunit is for calculating positive face characteristic curve length and according to institute according to described positive face characteristic point
State side face characteristic point calculation side face characteristic curve length.
Determine subelement, described determine that subelement is for true according to described positive face characteristic curve length and described side face characteristic curve length
Fixed described length range.
20. control device as claimed in claim 19, it is characterised in that described sample characteristics line, described current signature line, institute
State positive face characteristic curve and described side face characteristic curve includes the connecting line of two pupils and/or the bottom wheel profile of nose.
21. control device as claimed in claim 18, it is characterised in that described positive face deflection predetermined angular obtains described side
Face, described predetermined angular is less than 45 degree.
22. control device as claimed in claim 18, it is characterised in that described second feature storehouse also includes described authorized user
Longitudinal characteristic curve, described recognition unit includes:
Judgment sub-unit, described judgment sub-unit is used for judging whether described current length falls into described length range；
Obtain subelement, described acquisition subelement for obtain when described current length falls into described length range described currently
Current longitudinal characteristic curve of user；
Identifying subelement, whether described identification subelement is for belonging to institute according to described longitudinal characteristic curve length identification active user
State authorized user.
23. control device as claimed in claim 13, it is characterised in that the quantity of described authorized user is less than 10.
24. control device as claimed in claim 13, it is characterised in that described calling module includes:
Receiving unit, described reception unit is used for accepting user's current setting；
Iteration unit, described iteration unit is for according to user setup described in described user's current setting iteration.
25. 1 kinds of home appliance systems, it is characterised in that include household electrical appliance and as described in claim 13-24 any one
Controlling device, described control device is used for controlling described household electrical appliance.
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| CN201610677164.7A CN106295301B (en) | 2016-08-16 | 2016-08-16 | Control method, control device and home appliance system |
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| CN201610677164.7A CN106295301B (en) | 2016-08-16 | 2016-08-16 | Control method, control device and home appliance system |
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| CN106295301B (en) | 2019-02-19 |
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