CN105227948B - The method and device of distorted region in a kind of lookup image - Google Patents
The method and device of distorted region in a kind of lookup image Download PDFInfo
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- CN105227948B CN105227948B CN201510598683.XA CN201510598683A CN105227948B CN 105227948 B CN105227948 B CN 105227948B CN 201510598683 A CN201510598683 A CN 201510598683A CN 105227948 B CN105227948 B CN 105227948B
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Abstract
The embodiment of the invention discloses a kind of method for searching distorted region in image, including：The target image of camera collection is obtained, the foreground target region in the target image is obtained；Obtain the depth information of the corresponding foreground target in the foreground target region；According to default linear function using the depth information of the foreground target as independent variable, distortion radius corresponding with the foreground target region is calculated；The pixel for being more than the distortion radius in foreground target region with the distance of the central point of target image is searched, the regional determination that the pixel found is constituted is distorted region.The present invention also proposes a kind of device for searching distorted region in image accordingly.Using the present invention, the amount of calculation during the processing lens distortion phenomenon during taking pictures is reduced, treatment effeciency is improved, improves Consumer's Experience.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of method and device for searching distorted region in image.
Background technology
In the prior art, general optical lens can all have a certain degree of lens distortion in imaging, it is difficult to reach
The effect being imaged to perfect lens, and the lens distortion is the intrinsic inherent characteristic of optical lens (convex lens convergence light, recessed
Lens divergent rays) caused by, so, although this distortion is very unfavorable for the image quality of photo, but
It can not be completely eliminated.
In general, user using portable equipment such as smart mobile phone etc. when being taken pictures, and its purpose is in order to again mostly
The scene now taken pictures at that time, the imaging region especially for targets such as reproduction article, personage or buildings is target image
Whether region is real, or with the presence or absence of distortion situation, and non-object image region can be ignored and existed to a certain degree
Image fault.The problems such as distortion that occurs for image, distortion, there is what the distortion of image was corrected in the prior art
Method, i.e., ask for the distortion factor of camera lens in advance, and the coordinate of imaging point is modified after imaging, so as to improve picture point
The accuracy of coordinate, so that the distortion phenomenon occurred to a certain extent in correction chart picture.But the method for above-mentioned distortion correction
Need to carry out a series of calculating after imaging, the amount of calculation in image processing process after imaging can be increased.
Therefore, there is computationally intensive ask in the processing mode of lens distortion in the prior art for occurring during taking pictures
Topic.
The content of the invention
Based on this, to solve in conventional art mentioned above for the processing side of the lens distortion occurred during taking pictures
The excessive technical problem of amount of calculation that formula is present, spy is there is provided a kind of method for searching distorted region in image.
A kind of method of distorted region in lookup image, including：
The target image of camera collection is obtained, the foreground target region in the target image is obtained；
Obtain the depth information of the corresponding foreground target in the foreground target region；
According to default linear function using the depth information of the foreground target as independent variable, calculate and the foreground target
The corresponding distortion radius in region；
The pixel for being more than the distortion radius in foreground target region with the distance of the central point of target image is searched, will
The regional determination that the pixel found is constituted is distorted region.
Optionally, the step of depth information of the corresponding foreground target in the acquisition foreground target region also includes：
The depth information of the corresponding foreground target in the foreground target region is obtained by dual camera.
Optionally, the step of depth information of the corresponding foreground target in the acquisition foreground target region also includes：
The reference image vegetarian refreshments of predetermined number in the foreground target region is chosen, depth letter corresponding with the reference image vegetarian refreshments is obtained
Breath, and the average value of the depth information of all reference image vegetarian refreshments is calculated, with the flat of the depth information of all reference image vegetarian refreshments
Average is the depth information of the corresponding foreground target in the foreground target region.
Optionally, it is described obtain in the target image foreground target region the step of also include：Obtain the target
At least two foreground target regions in image；
It is described obtain the corresponding foreground target in the foreground target region depth information the step of also include：Obtain respectively
The depth information of corresponding at least two foreground target at least two foreground targets region；
It is described according to default linear function using the depth information of the foreground target as independent variable, calculate with the prospect
Target area it is corresponding distortion radius the step of also include：According to default linear function with the depth information of the foreground target
For independent variable, distortion radius corresponding with least two foreground targets region is calculated respectively；
It is described to search the pixel for being more than the distortion radius in foreground target region with the distance of the central point of target image
Point, the step of regional determination that the pixel found is constituted is distorted region also includes：Described in searching respectively at least
It is more than the pixel of the distortion radius in two foreground target regions with the distance of the central point of target image, respectively will be described
The regional determination that the pixel found is constituted is distorted region corresponding with least two foreground targets region.
Optionally, also wrapped after the step of regional determination that the pixel found is constituted is distorted region
Include：The distorted region in the prominent displaying target image, the mode of the prominent displaying include it is highlighted, be outlined
It is at least one.
In addition, to solve in conventional art mentioned above for the processing mode of the lens distortion occurred during taking pictures
The excessive technical problem of the amount of calculation of presence, present invention also offers a kind of device for searching the distorted region in image.
A kind of device of distorted region in lookup image, including：Foreground target region acquisition module, for obtaining shooting
The target image of head collection, obtains the foreground target region in the target image；
Depth Information Acquistion module, the depth information for obtaining the corresponding foreground target in the foreground target region；
Distort radius calculation module, for being become according to default linear function using the depth information of the foreground target as oneself
Amount, calculates distortion radius corresponding with the foreground target region；
Distorted region determining module, is more than institute for searching the distance in foreground target region with the central point of target image
The pixel of distortion radius is stated, the regional determination that the pixel found is constituted is distorted region.
Optionally, the Depth Information Acquistion module is additionally operable to：The foreground target region pair is obtained by dual camera
The depth information for the foreground target answered.
Optionally, the Depth Information Acquistion module is additionally operable to：Choose the ginseng of predetermined number in the foreground target region
Examine pixel, obtain depth information corresponding with the reference image vegetarian refreshments, and calculate the depth information of all reference image vegetarian refreshments
Average value, using the average value of the depth information of all reference image vegetarian refreshments as the corresponding foreground target in the foreground target region
Depth information.
Optionally, foreground target region acquisition module is additionally operable to：Obtain before at least two in the target image
Scape target area；The Depth Information Acquistion module is additionally operable to：It is corresponding that at least two foreground targets region is obtained respectively
The depth information of at least two foreground targets；
The distortion radius calculation module is additionally operable to：According to default linear function with the depth information of the foreground target
For independent variable, distortion radius corresponding with least two foreground targets region is calculated respectively；
The distorted region determining module is additionally operable to：Search respectively at least two foreground targets region with target figure
The distance of the central point of picture is more than the pixel of the distortion radius, and the region for respectively constituting the pixel found is sentenced
It is set to distorted region corresponding with least two foreground targets region.
Optionally, described device also includes prominent display module, for described abnormal in the prominent displaying target image
Become region, the mode of the prominent displaying include it is highlighted, at least one of be outlined.
Implement the embodiment of the present invention, will have the advantages that：
After the method and apparatus for employing distorted region in above-mentioned lookup image, during taking pictures, for mirror
Lens distortion phenomenon caused by the optics inherent characteristic of head, calculates the position where the foreground target or shooting main body of user's care
The distance apart from camera lens is put, so that it is determined that the region of distortion phenomenon occurs under the distance and position, if where foreground target
Region and the area coincidence that distortion phenomenon occurs, then be distorted region by the area identification, that is to say, that user is of concern
Foreground target or shooting main body occur in that distortion, it is necessary to be adjusted.Compared with conventional art, it is abnormal in above-mentioned lookup image
Become the method and apparatus in region during lens distortion is handled, it is to avoid carry out a series of distortion correction after imaging
Calculate, reduce the amount of calculation in imaging process, improve the treatment effeciency of imaging.
Meanwhile, user can also be informed in take pictures during the distortion phenomenon that is likely to occur, and further adjusted
It is whole, so as to actively go on the shooting object for avoiding distortion phenomenon from appearing in user's care, improve Consumer's Experience.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Wherein：
Fig. 1 be one embodiment in a kind of lookup image in distorted region method flow schematic diagram；
Fig. 2 is the schematic diagram in the foreground target region of target image in one embodiment；
Fig. 3 is the schematic diagram in the foreground target region of target image in one embodiment；
Fig. 4 is the schematic diagram of the region division in target image in one embodiment；
Fig. 5 is the space schematic diagram in the region where tolerance unit corresponding with camera lens in one embodiment；
Fig. 6 is the space in the region in one embodiment where tolerance unit corresponding with camera lens in another embodiment
Schematic diagram；
Fig. 7 is the schematic diagram of the region division in one embodiment in target image in one embodiment；
Fig. 8 is a kind of structural representation for the device for searching the distorted region in image in one embodiment.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
To solve in conventional art mentioned above for the processing mode presence of the lens distortion occurred during taking pictures
The excessive technical problem of amount of calculation, spy can be dependent on meter there is provided a kind of method for searching distorted region in image, this method
Calculation machine realizes program, and the computer program can be camera application program in smart mobile phone or to run on camera whole
Image processing program in end.The computer program can run in the computer system based on von Neumann system.The calculating
Machine system can be provided with smart mobile phone, tablet personal computer, palm PC or camera of camera applications or image procossing application etc.
Terminal device.
Specifically, the method for distorted region is as shown in figure 1, this method comprises the following steps in the lookup image：
Step S102：The target image of camera collection is obtained, the foreground target region in the target image is obtained.
Target image is the image obtained by the camera that is arranged in terminal, and the target image can pass through
The display screen being arranged in terminal is shown, so that user with the scene for crossing camera shooting to carrying out preview or determination,
And can further it be operated according to the target image, for example, manual focus, i.e. user manually select needs progress pair
Burnt target.It should be noted that the determination of the focus process mid-focal length in the acquisition process of above-mentioned target image, or need
The selection for the shooting main body focused, can terminal voluntarily complete, i.e. auto-focusing or user is according to oneself
The need for manually select so as to completing the focus process.
Target image includes background and foreground target, after target image is obtained, can be according to foreground target
Partitioning algorithm extracts the corresponding foreground target region of foreground target in target image.It should be noted that in the present embodiment,
The acquisition process in foreground target region, both can be terminal according to the target image got, automatically extract in the target image
Foreground target where region；It can also be that the shooting main body selected according to user determines the foreground target that user is concerned about, from
And determine to need the foreground target region of acquisition in the method.
The shape in foreground target region can be changeable, for example, it may be with the center of foreground target in target image
In corresponding points be the center of circle, the circle that default length is radius or with the center of foreground target in the target image
Arbitrary preset shape centered on corresponding points, can also be the corresponding pixel of foreground target extracted according to actual conditions
The region of composition, the region is foreground target region.
As shown in Fig. 2 Fig. 2 illustrates the shooting image under the application scenarios of the shooting of a personage, the image is logical
The target image of camera acquisition is crossed, wherein the region labeled as 1,2,3,4 is foreground target region in target image.
As shown in figure 3, Fig. 3 illustrates the shooting schematic diagram under a camera applications scene, the region C shown in the schematic diagram
Region where the target image as obtained by camera, wherein the point labeled as A is shooting that user independently selects
The reference point of main body, by the center of circle of the reference point, during default radius length R is target image for the border circular areas B of radius
Foreground target region.
Step S104：Obtain the depth information of the corresponding foreground target in the foreground target region.
The depth information of foreground target is the distance between foreground target and camera lens information.In the present embodiment, prospect
Target and the acquisition modes of the distance between camera lens can have a variety of.
For example, in one embodiment, the distance between foreground target and camera lens information are obtained by range sensor
, specifically, range sensor is by launching the electromagnetic signal such as laser or infrared light to testee and detecting echo, so that really
Determine the distance between testee and camera lens.
For another example in another embodiment, the distance between foreground target and camera lens information are obtained by dual camera
Take.Specifically, being imaged respectively using two cameras, because a certain distance existed before two cameras, together
One object imaging can have certain difference in the information such as pixel point coordinates, that is to say, that the difference of two cameras
Imaging, has certain parallax and exists.The parallax of above-mentioned dual camera imaging, can be for estimating and calculate object distance camera lens
Physical distance, i.e. depth information, and can further obtain the depth information of each pixel forms depth map
Picture.
It should be noted that in the acquisition of the depth information of above-mentioned foreground target, the depth information of acquisition is to represent
Whole foreground target region is by the depth information of all pixels point, in the present embodiment, with which point or which region
Depth information is used for representing the depth information of foreground target corresponding with foreground target region, can carry out selection, e.g., can
Think user realizes setting or systemic presupposition, or a kind of or system selected mode at random.
Specifically, the depth information at any point in foreground target region can be taken, represented with the depth information of the point
The depth information in whole foreground target region.It can also be some specified point for taking and preparatory condition being met in foreground target region
Corresponding depth information, to replace whole foreground target region depth information, for example take the corresponding value of depth information most
The depth information of big pixel, for example, take the corresponding depth information of central point in foreground target region.In another embodiment
In, the acquisition of the depth information in foreground target region can also be by obtaining each pixel pair in foreground target region
The distance answered, and the average value for the distance that all-pair is answered is calculated, the depth information of foreground target is represented with the average value.
In another is embodiment, the acquisition of the depth information of foreground target can also be that mode is calculated as below：At random
A number of pixel in foreground target region is chosen, using these pixels as reference image vegetarian refreshments, above-mentioned reference pixel is obtained
The corresponding range information of point or depth information, then calculate the depth information of all reference image vegetarian refreshments or putting down for range information
Average, using the average value as the depth information of the corresponding foreground target in foreground target region.
Step S106：According to default linear function using the depth information of the foreground target as independent variable, calculate and institute
State the corresponding distortion radius in foreground target region.
There is situations such as distortion, distortion and is due to caused by the characteristic of camera lens in itself in camera lens, also, camera lens is from subject
More remote, the region that pixel of the subject shared by image is constituted is smaller, and its size variation in appearance is smaller.
Because distortion all occurs from image neighboring area, that is to say, that will not typically go out near the central point of imaging picture
Now distort or distortion phenomenon.In the present embodiment, it would be possible to which the region for occurring distorting is referred to as the region where distortion range, no
Occur that the region of distortion phenomenon is referred to as the region where tolerance scope.In general, it is nearer from camera lens, distort bigger, it is abnormal
Become scope bigger, acceptable tolerance scope is also just smaller；Accordingly, it is more remote from camera lens, distort smaller, distortion range is got over
Small, acceptable tolerance scope is also bigger.Therefore, if in the case of tolerance scope is fixed, it is possible to directly ask
Obtain the distortion range in image.
As shown in figure 4, the scene shown in figure is distortion range and the region where tolerance scope in target image
Divide schematic diagram.S2 represents the region where acceptable tolerance scope in figure, S1 represent in target image occur it is abnormal
Region where the distortion range of change or distortion phenomenon.
In the present embodiment, the tolerance scope of a certain position object outside camera lens, is seeing camera lens as a bit
When, that is, ignore the influence that the size of camera lens is brought, tolerance scope can be regarded as with the center of circle of camera lens progressively outside
One cone of diverging, the cone, using the center of circle of camera lens as summit, is high (i.e. with the distance between the object and camera lens
Height of the depth information of the foreground target obtained using in step S104 as cone), bottom surface radius be preset value.
As shown in figure 5, D shown in figure is the distance between the object and camera lens, i.e., acquired in step S104
Scope in depth information, figure shown in cone is tolerance scope, i.e., the scope distorted do not occur.According to camera lens not
Together, the angle theta between the bus and height of cone also can be different, that is to say, that the setting of the angle, θ is the hardware by camera lens
Determined by setting or hardware configuration, after camera shaping, the angle is assured that.
For the radius for the border circular areas for calculating the section where subject, can according to the geometry of cone by
Equation below：
R=tan θ D.
The radius of border circular areas according to where above-mentioned formula can determine tolerance scope, may thereby determine that distortion area
The scope in domain, the distortion range is that all regions outside the region where tolerance scope are removed in target image.
In another embodiment, it is considered to the influence that the size of camera lens is brought, the object of a certain position outside the camera lens
Tolerance scope, can be regarded as using the plane where eyeglass as the plane where upper bottom, by the upper bottom center of circle of optical center point,
And be that (depth information of the foreground target obtained using in step S104 is cone to height using the distance between the object and camera lens
Height), bottom radius surface be preset value round platform.
As shown in fig. 6, θ is the angle between bus and height, r is the radius of camera lens, and the radius of R bottom surfaces is that is, described abnormal
Become radius, D is the distance between the object and camera lens, the radius of bottom surface can be calculated according to equation below, that is, distort radius：
R=r+tan θ D.
Step S108：Search and be more than the distortion radius in foreground target region with the distance of the central point of target image
Pixel, the regional determination that the pixel found is constituted is i.e. distorted region.
In step s 106, it is considered to during tolerance scope, tolerance scope is considered as one with target image
Central point, using border circular areas of the radius as radius that distort, so, the central point of every bit in the range of tolerance to target image
Distance, be bound to be less than or equal to above-mentioned distortion radius.Conversely, if certain point is more than distortion half to the distance of central point
Footpath, then the point is not within the scope of above-mentioned tolerance.
Specifically, all pixels point included in traversal foreground target region, and according to the coordinate position of the pixel, meter
Calculate the distance between pixel corresponding to its central point with target image.
If for example, target image (laterally has 1440 pixel columns, longitudinally there is 900 pixels for 1400*900 image
OK), then the coordinate of the central point of target image is (x0,y0)=(700,450)；Further, each pixel spatially institute
The size accounted for is a × a (i.e. transverse width is a unit, longitudinally wide for a unit).Then coordinate is (x1,y1) pixel
The distance between pixel corresponding with central point is：
Then the magnitude relationship between d and distortion radius R is judged.
If d>R, then it is (x to illustrate the coordinate1,y1) the picture that is not included in the region where tolerance scope of pixel
In the set of vegetarian refreshments, i.e., in the set of the pixel included in the region where distortion range；If d>R, then illustrate the coordinate
For (x1,y1) the set of pixel that is included in the region where tolerance scope of pixel in.
The all pixels point included in traversal foreground target region, in the distance of the pixel and the central point of target image
During more than the distortion radius, the pixel is added in the pixel point set of distorted region, and by this gather in it is all
Pixel constitute regional determination be distorted region, that is to say, that by the zone marker be distorted region.
If the pixel point set of above-mentioned distorted region is not empty set, illustrate in the foreground target region in the target image
Occur in that distortion phenomenon, that is to say, that user's foreground target of concern or shooting main body occur in that abnormal in the target image
Become or distortion phenomenon, then need related prompt message showing user, in the prompt message should comprising it is specific which
Distortion phenomenon occurs in region, so as to be operated accordingly according to prompt message, so as to avoid shooting main body or foreground target
Distort in the target image.
As shown in fig. 7, Fig. 7 illustrates the region division schematic diagram of a target image, the region that numbering is S1 is tolerant
The region spent where scope, the region that numbering is S2 is the region where distortion phenomenon, and the region that numbering is S3 is foreground target
Region, the region that numbering is S4 is S2 and S3 common factor, i.e. with target figure in the foreground target region found in step S108
As central point distance be more than it is described distortion radius pixel where region, i.e., described distorted region.
Further, in the present embodiment, in step S108：Search the central point with target image in foreground target region
Distance be more than the pixel of the distortion radius, the regional determination that the pixel that finds is constituted is i.e. distorted region
Afterwards, this method also includes step：The distorted region in the prominent displaying target image, the mode of the prominent displaying
Including it is highlighted, at least one of be outlined.
Specifically, showing the image of preview on the display screen of terminal, the preview of target image is immediately carried out, in the figure
As in, distorted region is protruded and is illustrated on the display screen of terminal.
For example, as shown in fig. 7, Fig. 7 displayings are the image shown on the display screen of terminal, in the feelings of S4 not for sky
Under condition, the exhibition that carries out is outlined in the displayed page of the display screen of terminal to the region where the S4 of distorted region as depicted
Show.
Optionally, showed on the display screen of terminal in the preview image of user, can also be by corresponding tolerance model
The division displaying in the regions such as region, the foreground target region where region, distortion range where enclosing on a display screen, for
Family is referred to.
It should be noted that in other embodiments, the quantity in the foreground target region included in target image can not
Only one, i.e., in step s 102, after the step of obtaining the target image of camera collection, obtain in the target image
At least one foreground target region.
For example, in the application scenarios shown in Fig. 2, the target image includes four prospects marked as 1,2,3,4
Target area.
Accordingly, in step S104：In the depth information for obtaining the corresponding foreground target in the foreground target region, obtain
The depth information of at least one corresponding foreground target in foreground target region, that is to say, that acquisition is obtained in step s 102
The depth information of the foreground target corresponding to each foreground target region taken.In step S106：According to default linear letter
Number is calculated by independent variable of the depth information of the foreground target in distortion radius corresponding with the foreground target region, is calculated
Distortion radius number be also with corresponding to above-mentioned foreground target region.
That is, exist in foreground target region it is multiple in the case of, it is necessary to respectively be directed to each foreground target area
Domain, obtains the depth information of its corresponding foreground target, then calculates the corresponding distortion radius of each depth information respectively again.
Accordingly, in step S108, the central point with target image in each foreground target region is also searched respectively
Distance be more than it is described distortion radius pixel, judge its corresponding distorted region respectively for each foreground target region
It whether there is, and during subsequently user is showed, on displaying interface, exhibition is carried out for multiple distorted regions
Show.
To solve in conventional art mentioned above for the processing mode presence of the lens distortion occurred during taking pictures
The excessive technical problem of amount of calculation, present invention also offers a kind of device for searching distorted region in image, the device includes
Foreground target region acquisition module 102, Depth Information Acquistion module 104, distortion radius calculation module 106 and distorted region are true
Cover half block 108, wherein：
Foreground target region acquisition module 102 is used for the target image for obtaining camera collection, obtains the target image
In foreground target region；
Depth Information Acquistion module 104 is used for the depth information for obtaining the corresponding foreground target in the foreground target region；
The radius calculation that distorts module 106 is used for according to default linear function using the depth information of the foreground target as certainly
Variable, calculates distortion radius corresponding with the foreground target region；
The distance that distorted region determining module 108 is used to search the central point in foreground target region with target image is more than
The pixel of the distortion radius, the regional determination that the pixel found is constituted is distorted region.
Optionally, Depth Information Acquistion module 104 is additionally operable to obtain the foreground target region correspondence by dual camera
Foreground target depth information.
Optionally, Depth Information Acquistion module 104 is additionally operable to：Choose the reference of predetermined number in the foreground target region
Pixel, obtain corresponding with reference image vegetarian refreshments depth information, and calculate the depth information of all reference image vegetarian refreshments and put down
Average, using the average value of the depth information of all reference image vegetarian refreshments as the corresponding foreground target in the foreground target region
Depth information.
Optionally, foreground target region acquisition module 102 is additionally operable to：Obtain at least two prospects in the target image
Target area；
Depth Information Acquistion module 104 is additionally operable to：It is corresponding at least that at least two foreground targets region is obtained respectively
The depth information of two foreground targets；
Distortion radius calculation module 106 is additionally operable to：According to default linear function with the depth information of the foreground target
For independent variable, distortion radius corresponding with least two foreground targets region is calculated respectively；
Distorted region determining module 108 is additionally operable to：Search respectively at least two foreground targets region with target figure
The distance of the central point of picture is more than the pixel of the distortion radius, and the region for respectively constituting the pixel found is sentenced
It is set to distorted region corresponding with least two foreground targets region.
Optionally, the device of distorted region also includes prominent display module 110 such as in Fig. 8 lookup images, for protruding
Show the distorted region in the target image, the mode of the prominent displaying include it is highlighted, be outlined at least one
Kind.
Implement the embodiment of the present invention, will have the advantages that：
After the method and apparatus for employing distorted region in above-mentioned lookup image, during taking pictures, for mirror
Lens distortion phenomenon caused by the optics inherent characteristic of head, calculates the position where the foreground target or shooting main body of user's care
The distance apart from camera lens is put, so that it is determined that the region of distortion phenomenon occurs under the distance and position, if where foreground target
Region and the area coincidence that distortion phenomenon occurs, then be distorted region by the area identification, that is to say, that user is of concern
Foreground target or shooting main body occur in that distortion, it is necessary to be adjusted.Compared with conventional art, it is abnormal in above-mentioned lookup image
Become the method and apparatus in region during lens distortion is handled, it is to avoid carry out a series of distortion correction after imaging
Calculate, reduce the amount of calculation in imaging process, improve the treatment effeciency of imaging.
Meanwhile, user can also be informed in take pictures during the distortion phenomenon that is likely to occur, and further adjusted
It is whole, so as to actively go on the shooting object for avoiding distortion phenomenon from appearing in user's care, improve Consumer's Experience.
Above disclosure is only preferred embodiment of present invention, can not limit the right model of the present invention with this certainly
Enclose, therefore the equivalent variations made according to the claims in the present invention, still belong to the scope that the present invention is covered.
Claims (10)
1. a kind of method for searching distorted region in image, it is characterised in that including：
The target image of camera collection is obtained, the foreground target region in the target image is obtained；
Obtain the depth information of the corresponding foreground target in the foreground target region；
According to default linear function using the depth information of the foreground target as independent variable, calculate and the foreground target region
Corresponding distortion radius, wherein, R=r+tan θ D, wherein, R is distortion radius, and r is the radius of the camera lens of camera, and D is quilt
The distance between object and camera lens of shooting, θ are the angle between the bus and height of cone, and cone is made with the center of circle of camera lens
It is height with the distance between object and camera lens for summit；
The pixel for being more than the distortion radius in foreground target region with the distance of the central point of target image is searched, will be described
The regional determination that the pixel found is constituted is distorted region.
2. the method according to claim 1 for searching distorted region in image, it is characterised in that the acquisition prospect
The step of depth information of the corresponding foreground target in target area, also includes：
The depth information of the corresponding foreground target in the foreground target region is obtained by dual camera.
3. the method according to claim 1 for searching distorted region in image, it is characterised in that the acquisition prospect
The step of depth information of the corresponding foreground target in target area, also includes：
The reference image vegetarian refreshments of predetermined number in the foreground target region is chosen, depth corresponding with the reference image vegetarian refreshments is obtained
Information, and the average value of the depth information of all reference image vegetarian refreshments is calculated, with the depth information of all reference image vegetarian refreshments
Average value is the depth information of the corresponding foreground target in the foreground target region.
4. the method according to claim 1 for searching distorted region in image, it is characterised in that the acquisition target
The step of foreground target region in image, also includes：
Obtain at least two foreground target regions in the target image；
It is described obtain the corresponding foreground target in the foreground target region depth information the step of also include：Obtain respectively described
The depth information of corresponding at least two foreground target at least two foreground target regions；
It is described according to default linear function using the depth information of the foreground target as independent variable, calculate with the foreground target
Region it is corresponding distortion radius the step of also include：According to default linear function using the depth information of the foreground target as certainly
Variable, calculates distortion radius corresponding with least two foreground targets region respectively；
It is described to search the pixel for being more than the distortion radius in foreground target region with the distance of the central point of target image, will
The step of regional determination that the pixel found is constituted is distorted region also includes：
Search respectively and be more than the distortion half at least two foreground targets region with the distance of the central point of target image
The pixel in footpath, be and at least two foreground targets region by the regional determination of the pixel composition found respectively
Corresponding distorted region.
5. the method according to claim 1 for searching distorted region in image, it is characterised in that described to be found described
Pixel constitute regional determination be distorted region the step of after also include：
The distorted region in the prominent displaying target image, the mode of the prominent displaying include it is highlighted, be outlined
At least one.
6. a kind of device for searching distorted region in image, it is characterised in that including：
Foreground target region acquisition module, the target image for obtaining camera collection, before obtaining in the target image
Scape target area；
Depth Information Acquistion module, the depth information for obtaining the corresponding foreground target in the foreground target region；
Distort radius calculation module, for according to default linear function using the depth information of the foreground target as independent variable,
Calculate distortion radius corresponding with the foreground target region；Wherein, R=r+tan θ D, wherein, R is distortion radius, and r is to take the photograph
The distance between as the radius of the camera lens of head, D is the object that is taken with camera lens, θ is the folder between the bus and height of cone
Angle, cone, using the center of circle of camera lens as summit, is height with the distance between object and camera lens；
Distorted region determining module, for searching the distance in foreground target region with the central point of target image more than described abnormal
Become the pixel of radius, the regional determination that the pixel found is constituted is distorted region.
7. the device according to claim 6 for searching distorted region in image, it is characterised in that the Depth Information Acquistion
Module is additionally operable to：The depth information of the corresponding foreground target in the foreground target region is obtained by dual camera.
8. the device according to claim 6 for searching distorted region in image, it is characterised in that the Depth Information Acquistion
Module is additionally operable to：
The reference image vegetarian refreshments of predetermined number in the foreground target region is chosen, depth corresponding with the reference image vegetarian refreshments is obtained
Information, and the average value of the depth information of all reference image vegetarian refreshments is calculated, with the depth information of all reference image vegetarian refreshments
Average value is the depth information of the corresponding foreground target in the foreground target region.
9. the device according to claim 6 for searching distorted region in image, it is characterised in that the foreground target region
Acquisition module is additionally operable to：Obtain at least two foreground target regions in the target image；
The Depth Information Acquistion module is additionally operable to：At least two foreground targets region corresponding at least two is obtained respectively
The depth information of foreground target；
The distortion radius calculation module is additionally operable to：According to default linear function using the depth information of the foreground target as certainly
Variable, calculates distortion radius corresponding with least two foreground targets region respectively；
The distorted region determining module is additionally operable to：Search respectively at least two foreground targets region with target image
The distance of central point is more than the pixel of the distortion radius, and the regional determination for respectively constituting the pixel found is
Distorted region corresponding with least two foreground targets region.
10. the device according to claim 6 for searching distorted region in image, it is characterised in that described device also includes
Prominent display module, for the distorted region in the prominent displaying target image, the mode of the prominent displaying includes
It is highlighted, at least one of be outlined.
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| CN110135382B (en) * | 2019-05-22 | 2021-07-27 | 北京华捷艾米科技有限公司 | Human body detection method and device |
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| CN113222862A (en) * | 2021-06-04 | 2021-08-06 | 黑芝麻智能科技(上海)有限公司 | Image distortion correction method, device, electronic equipment and storage medium |
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