CN109961402A - A kind of anti-method and device that distorts of display equipment eyepiece - Google Patents
A kind of anti-method and device that distorts of display equipment eyepiece Download PDFInfo
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract
The invention discloses a kind of anti-method and device that distorts of display equipment eyepiece, the processing to distort counter for eyepiece obtains the fault image observed;The fault image is divided into two regions, and low order is all made of to two regions after division and the identical model of order models, in this way when solving the parameter of each regional model, the operand of parameter operation is reduced, improves operation efficiency;For the lap of different zones, summation process is weighted using the model of different zones, smoothing processing has been carried out to overlapping region.
Description
Technical field
The present invention relates to virtual reality device field more particularly to a kind of anti-method and devices that distorts of display equipment eyepiece.
Background technique
With the rapid development of image processing techniques, virtual reality technology is widely used, but due to virtual
The eyepiece size of real world devices is limited, effective as circle can not cover entire display screen on eyepiece, so that passing through eyepiece
The image on display screen observed produces distortion.
In the prior art, general that the image of display picture is handled using unified advanced distortion model, but this kind
Method is usually computationally intensive, and the solution difficulty of Model Parameter is high.
Summary of the invention
In view of this, will show picture the embodiment of the invention provides a kind of anti-method and device that distorts of display device target
The image in face carries out multidomain treat-ment, and each region is all made of the model of low order, reduces operand, improves operation efficiency, and
And for the lap of different zones, summation process is weighted using the model of different zones, overlapping region is carried out
Smoothing processing.
The embodiment of the invention discloses a kind of anti-methods that distorts of display equipment eyepiece, comprising:
Obtain the fault image observed;
The fault image is divided into two regions, respectively the first distorted region and the second distorted region;
Each region after division is modeled respectively, obtains the first distorted region model and the second distorted region model, and
Calculate the parameter value in the first distorted region model and the second distorted region model;Wherein the first distorted region model and second abnormal
Become the model that regional model is low order and order is identical;
According to each primitive vertices coordinate in obtained each model and preset image, determine that anti-fault image is corresponding
Primitive vertices coordinate;
It is right according to the coordinate of each primitive vertices in the pre-set image and the primitive vertices coordinate of the anti-fault image
Display image is rendered.
Optionally, the parameter value calculated in the first distorted region model and the second distorted region model, comprising:
Obtain the mapping relations at multiple control points in preset standard grid image and distortion grid image;
According to the mapping relations of least square method and preset multiple control points, the first distortion model and the second distortion are calculated
Parameter value in model.
Optionally, described according to the coordinate of each primitive vertices in the pre-set image and the pel of the anti-fault image
Apex coordinate renders display image, comprising:
According to the coordinate of each primitive vertices in the pre-set image and the primitive vertices coordinate of the anti-fault image, lead to
GPU image processor is crossed to render display image.
Optionally, further include
Summation is weighted to the first distorted region model and the second distorted region model, obtains overlapping region model.
Optionally, first distorted region model and the second distorted region model are the model of second order.
The embodiment of the invention also discloses a kind of anti-distortion devices of display equipment eyepiece, comprising:
Acquiring unit, for obtaining the fault image observed;
Area division unit, for the fault image to be divided into two regions, respectively the first distorted region and
Two distorted regions;
First modeling unit obtains the first distorted region model and for modeling respectively to each region after division
Two distorted region models, and calculate the parameter value in the first distorted region model and the second distorted region model;Wherein first is abnormal
Change regional model and the second distorted region model are the model of low order and order is identical;
Determination unit, for determining anti-according to each primitive vertices coordinate in obtained each model and preset image
The corresponding primitive vertices coordinate of fault image;
Rendering unit, the figure for coordinate and the anti-fault image according to each primitive vertices in the pre-set image
First apex coordinate renders display image.
Optionally, first modeling unit, comprising:
Obtain the mapping relations at multiple control points in preset standard grid image and distortion grid image;
According to the mapping relations of least square method and preset multiple control points, the first distortion model and the second distortion are calculated
Parameter value in model.
Optionally, the rendering unit, comprising:
According to the coordinate of each primitive vertices in the pre-set image and the primitive vertices coordinate of the anti-fault image, lead to
GPU image processor is crossed to render display image.
Optionally, further include
Second modeling unit is obtained for being weighted summation to the first distorted region model and the second distorted region model
To overlapping region model.
Optionally, first distorted region model and the second distorted region model are the model of second order.
In the present embodiment, the processing to distort counter for eyepiece obtains the fault image observed;The fault image is drawn
It is divided into two regions, respectively the first distorted region and the second distorted region;Each region after division is modeled respectively, is obtained
First distorted region model and the second distorted region model, and calculate in the first distorted region model and the second distorted region model
Parameter value;Wherein the first distorted region model and the second distorted region model be low order model and order it is identical;According to
Each primitive vertices coordinate in obtained each model and preset image determines that the corresponding primitive vertices of anti-fault image are sat
Mark;According to the coordinate of each primitive vertices in the pre-set image and the primitive vertices coordinate of the anti-fault image, to display
Image is rendered.Therefore, by that will show that picture carries out multidomain treat-ment, and each region after subregion is all made of low order
Model reduces the operand of parameter operation, improves operation efficiency, moreover, for the lap of different zones, using not
Model with region is weighted summation process, has carried out smoothing processing to overlapping region.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 shows a kind of flow diagram for showing the anti-method that distorts of equipment eyepiece provided in an embodiment of the present invention;
Fig. 2 shows the acquisition example schematics of fault image provided in an embodiment of the present invention;
Fig. 3 shows the grid image schematic diagram of standard picture;
Fig. 4 shows the grid image schematic diagram of fault image;
Fig. 5 shows the schematic diagram of pel apex coordinate under conventional coordinates;
Fig. 6 shows the schematic diagram of the lower pel apex coordinate of texture coordinate;
Fig. 7 shows the schematic diagram that region division is carried out to image;
Fig. 8 shows a kind of another process for showing the anti-method that distorts of equipment eyepiece provided in an embodiment of the present invention
Schematic diagram;
Fig. 9 shows a kind of structural schematic diagram for showing the anti-distortion device of equipment eyepiece provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
With reference to Fig. 1, a kind of process signal for showing the anti-method that distorts of equipment eyepiece provided in an embodiment of the present invention is shown
Figure, in the present embodiment, which comprises
S101: the fault image observed is obtained;
In the present embodiment, the acquisition of fault image is observed by eyepiece, and the mode for obtaining fault image can have
It is a variety of.
For example: as shown in Fig. 2, display equipment 5 shows grid image (as shown in Figure 3), field angle is similar to people
The undistorted video camera of eye is placed in upper figure eyespot (3) position, shoots image conduct through lens 4 by video camera substitution human eye
Fault image (as shown in Figure 4), wherein region represented by 2 is effectively as visual field in circle, region represented by 1 is effectively as circle
Outer visual field.
S102: the fault image is divided into two regions, respectively the first distorted region and the second distorted region;
In the present embodiment, the subregion for fault image may include two aspects:
First aspect: if including two different distortion types in fault image, by the area where each distortion type
Domain is divided into a region, or it can be appreciated that be a region by the region division of same direction distortion,;
Second aspect: if including a distortion type in fault image, different degrees of distortion can also be divided into difference
Region.
It should be noted that can be what technical staff rule of thumb carried out when carrying out subregion to fault image, it can also be with
It is according to default rule automatic distinguishing, wherein for including: according to the method for default rule automatic distinguishing
Determine the distortion type in fault image;
If each distortion type is divided into a region comprising two kinds of distortion types;
If determining the degree of pattern distortion comprising a kind of distortion type, the distorted region more than preset threshold is divided into
The distorted region for being less than preset threshold is divided into a region by one region.
S103: each region after division is modeled respectively, obtains the first distorted region model and the second distorted region mould
Type, and calculate the parameter value in the first distorted region model and the second distorted region model;Wherein the first distorted region model and
Second distorted region model is the model of low order and order is identical;
In the present embodiment, specifically, each distorted region model can be modeled using second-order model.
For example:
Wherein, the first distorted region model are as follows: R=r (1+m1r2+m2r4), m1、m2For unknown parameter;
Second distorted region model are as follows: R=r (1+n1r2+n2r4), n1、n2For unknown parameter;
In the present embodiment, modeling for the first distorted region and the second distorted region, it is creative using low order not
Know parameter, and all only include two unknown quantitys, is i.e. the first distortion model and the second distortion model are the model and order of low order
It is identical, the workload of model solution is reduced in this way, improves operation efficiency.
Wherein, calculating the first distortion model and the second distortion model can be carried out by least square method, specifically, S103
Include:
Obtain the mapping relations at multiple control points in preset standard grid image and distortion grid image;
According to the mapping relations of least square method and multiple control points, calculate in the first distortion model and the second distortion model
Parameter value.
It, can be in standard grid image neutralization distortion grid image (as shown in Figure 4) (as shown in Figure 3) in the present embodiment
Some control points are chosen, the control point in standard grid image and the control point in distortion grid image are carried out to the mark of mapping point
It is fixed, i.e., the control point in standard grid image is matched with control point in distortion grid image, and by standard grid image
In control point and the control point in distortion grid image be normalized after, obtain in standard grid image control point and distortion
The relationship at corresponding control point in grid image.
Wherein it is possible to carry out mapping point calibration using various ways, such as can be carried out by way of manually demarcating,
It can be carried out according to relevant calibration tool.
Wherein, least square method is a kind of prior art of common solution similar problems.This method it is main it by most
The quadratic sum of smallization error finds the optimal function matching of data.
S104: according to the coordinate of each primitive vertices in obtained each model and preset image, anti-distortion figure is determined
As corresponding primitive vertices coordinate;
In the present embodiment, obtained the first distortion model and the second distortion model can reflect standard picture and fault image
Corresponding relationship, while also can reflect the corresponding relationship of standard picture and anti-fault image, in the present embodiment, using standard drawing
The corresponding relationship of picture and anti-fault image determines the corresponding anti-fault image of the coordinate of each primitive vertices in preset image
In corresponding primitive vertices coordinate, wherein each primitive vertices coordinate in preset image, be under conventional coordinates (such as
Shown in Fig. 5) primitive vertices coordinate, and corresponding apex coordinate is equivalent to (such as Fig. 6 under texture coordinate system in anti-fault image
It is shown) primitive vertices coordinate.
Wherein, anti-fault image can be understood as the back mapping of fault image, and in the presence of distortion, human eye is seen
To display screen on image be the image of distortion, if showing in screen to be anti-abnormal after the distortion is carried out back mapping
The image of change, after distortion, image seen by person is then normal image.
For example: as shown in figure 5, model coordinate origin is picture center, i.e. model is divided into four quadrants, horizontal axis
It is expressed as x, the longitudinal axis is expressed as y.As shown in fig. 6, texture coordinate system origin is the picture upper left corner, horizontal axis is expressed as u, and the longitudinal axis indicates
For v.Model is established in model coordinate systems, and establishes the rectangular element that 10 rows 10 arrange totally 100 dense arrangements, wherein
The apex coordinate of one rectangular element is A (- 1,1), and C (- 1,0.8), D (- 0.8,0.8), B (- 0.8,1.0) passes through what is obtained
The coordinate of each pel under texture coordinate system, such as a=F (A), b=F (B), c=F (C), d=is calculated in each model
F (D), wherein dst=F (src) indicates that the point position src location updating after counter distort is dst point, i.e. A point passes through model
After calculating, a point is obtained, B point obtains b point etc. after model calculates.
S105: according to the coordinate of each primitive vertices and the primitive vertices coordinate of anti-fault image in pre-set image, to aobvious
Diagram picture is rendered.
It in the present embodiment, is mentioned in S104, each primitive vertices coordinate is the equal of under conventional coordinates in pre-set image
Primitive vertices coordinate, the primitive vertices coordinate in anti-fault image is the equal of the primitive vertices coordinate under texture coordinate system,
Wherein, each primitive vertices coordinate under standard coordinate and the primitive vertices coordinate under texture coordinate system have corresponding relationship,
The display image shown in display screen is rendered according to the corresponding relationship, that is to say, that it is accomplished that in S105, it will be former
Normal picture to be normally displayed in display screen is converted to the anti-image to distort after conversion.
Specifically, S105 can be using GPU (full name in English: Graphics Processing Unit, Chinese name: figure
Shape processor) it is rendered, specifically, S105 includes:
The primitive vertices coordinate of the coordinate of primitive vertices each in pre-set image and anti-fault image is input in VBO;
In such a way that GPU rendering pipeline is according to interpolation, display image is rendered.
In the present embodiment, by the way of VBO, input primitive apex coordinate repeatedly is not needed, once by corresponding pel
After apex coordinate input, it can rendered, improve the working efficiency of rendering.
In addition to this, the case where there is likely to be overlappings the first distorted region and the second distorted region, such as: two kinds of differences
Distortion type be overlapped place or high level fault image to low degree fault image transition part.
For example: as shown in fig. 7, the image of shooting is carried out subregion, wherein 7 be central region, it is with central region 7
Center is with r1It is labeled as the first distorted region 6 for the border circular areas of radius, with r centered on central region 71It (3) is internal diameter, with
r2(5) be the annular region 4 of outer diameter it is overlapping region, radius is greater than r2(5) zone marker is the second class distortion type area
Domain.
In the present embodiment, in order to carry out smooth rendering to overlapping region, with reference to Fig. 8, further includes:
S106: summation is weighted to the first distorted region model and the second distorted region model, obtains overlapping region mould
Type;
For example: overlapping region model are as follows:
R=r × ((r-r1)/(r2-r1)*(1+m1r2+m2r4)+(r2-r)/(r2-r1)*(1+n1r2+n2r4));
Therefore, when executing S104, obtained each model includes: the first distortion model, the second distortion model and overlapping
Regional model, in one's respective area effectively, the primitive vertices coordinate in pre-set image belongs to different regions to each model, calculates anti-
When the corresponding primitive vertices coordinate of fault image, belong to the pel of different zones, using different models.
In the present embodiment, by that will show that picture carries out multidomain treat-ment, and each region after subregion is all made of low order
Model, reduce the operand of parameter operation, improve operation efficiency, moreover, for the lap of different zones, use
The model of different zones is weighted summation process, has carried out smoothing processing to overlapping region.
With reference to Fig. 9, a kind of anti-distortion device of display equipment eyepiece provided in an embodiment of the present invention is shown, comprising:
Acquiring unit 901, for obtaining the fault image observed;
Area division unit 902, for the fault image to be divided into two regions, respectively the first distorted region and
Second distorted region;
First modeling unit 903, for respectively to after division each region model, obtain the first distorted region model and
Second distorted region model, and calculate the parameter value in the first distorted region model and the second distorted region model;Wherein first
Distorted region model and the second distorted region model are the model of low order and order is identical;
Determination unit 904, for determining according to each primitive vertices coordinate in obtained each model and preset image
The corresponding primitive vertices coordinate of anti-fault image;
Rendering unit 905, for the coordinate and the anti-fault image according to each primitive vertices in the pre-set image
Primitive vertices coordinate, to display image render.
Optionally, first modeling unit, comprising:
Obtain the mapping relations at multiple control points in preset standard grid image and distortion grid image;
According to the mapping relations of least square method and preset multiple control points, the first distortion model and the second distortion are calculated
Parameter value in model.
Optionally, the rendering unit, comprising:
According to the coordinate of each primitive vertices in the pre-set image and the primitive vertices coordinate of the anti-fault image, lead to
GPU image processor is crossed to render display image.
Optionally, further include
Second modeling unit is obtained for being weighted summation to the first distorted region model and the second distorted region model
To overlapping region model.
Optionally, first distorted region model and the second distorted region model are the model of second order.
By the device of this implementation, by that will show that picture carries out multidomain treat-ment, and each region after subregion is adopted
With the model of low order, the operand of parameter operation is reduced, operation efficiency is improved, moreover, for the overlapping portion of different zones
Point, summation process is weighted using the model of different zones, smoothing processing has been carried out to overlapping region.
It should be noted that all the embodiments in this specification are described in a progressive manner, each embodiment weight
Point explanation is the difference from other embodiments, and the same or similar parts between the embodiments can be referred to each other.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (10)
1. a kind of anti-method that distorts of display equipment eyepiece characterized by comprising
Obtain the fault image observed;
The fault image is divided into two regions, respectively the first distorted region and the second distorted region;
Each region after division is modeled respectively, obtains the first distorted region model and the second distorted region model, and calculate
Parameter value in first distorted region model and the second distorted region model;Wherein the first distorted region model and the second distortion area
Domain model is the model of low order and order is identical;
According to each primitive vertices coordinate in obtained each model and preset image, the corresponding pel of anti-fault image is determined
Apex coordinate;
According to the coordinate of each primitive vertices in the pre-set image and the primitive vertices coordinate of the anti-fault image, to display
Image is rendered.
2. the method according to claim 1, wherein the first distorted region model of the calculating and the second distortion area
Parameter value in domain model, comprising:
Obtain the mapping relations at multiple control points in preset standard grid image and distortion grid image;
According to the mapping relations of least square method and preset multiple control points, the first distortion model and the second distortion model are calculated
In parameter value.
3. the method according to claim 1, wherein described according to each primitive vertices in the pre-set image
The primitive vertices coordinate of coordinate and the anti-fault image renders display image, comprising:
According to the coordinate of each primitive vertices in the pre-set image and the primitive vertices coordinate of the anti-fault image, pass through
GPU image processor renders display image.
4. the method according to claim 1, wherein further including
Summation is weighted to the first distorted region model and the second distorted region model, obtains overlapping region model.
5. the method according to claim 1, wherein first distorted region model and the second distorted region mould
Type is the model of second order.
6. a kind of anti-distortion device of display equipment eyepiece characterized by comprising
Acquiring unit, for obtaining the fault image observed;
Area division unit, for the fault image to be divided into two regions, respectively the first distorted region and second abnormal
Become region;
First modeling unit obtains the first distorted region model and second abnormal for modeling respectively to each region after division
Become regional model, and calculates the parameter value in the first distorted region model and the second distorted region model;Wherein the first distortion area
Domain model and the second distorted region model are the model of low order and order is identical;
Determination unit, for determining anti-distortion according to each primitive vertices coordinate in obtained each model and preset image
The corresponding primitive vertices coordinate of image;
Rendering unit, the pel top for coordinate and the anti-fault image according to each primitive vertices in the pre-set image
Point coordinate renders display image.
7. device according to claim 6, which is characterized in that first modeling unit, comprising:
Obtain the mapping relations at multiple control points in preset standard grid image and distortion grid image;
According to the mapping relations of least square method and preset multiple control points, the first distortion model and the second distortion model are calculated
In parameter value.
8. device according to claim 6, which is characterized in that the rendering unit, comprising:
According to the coordinate of each primitive vertices in the pre-set image and the primitive vertices coordinate of the anti-fault image, pass through
GPU image processor renders display image.
9. device according to claim 6, which is characterized in that further include
Second modeling unit obtains weight for being weighted summation to the first distorted region model and the second distorted region model
Folded regional model.
10. device according to claim 6, which is characterized in that first distorted region model and the second distorted region
Model is the model of second order.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111539898A (en) * | 2020-05-09 | 2020-08-14 | 京东方科技集团股份有限公司 | Image processing method and image display device |
CN112288651A (en) * | 2020-10-28 | 2021-01-29 | 上海盈赞通信科技有限公司 | Method and device for rapidly realizing video anti-distortion |
CN112541861A (en) * | 2019-09-23 | 2021-03-23 | 华为技术有限公司 | Image processing method, device, equipment and computer storage medium |
CN112819725A (en) * | 2021-02-05 | 2021-05-18 | 广东电网有限责任公司广州供电局 | Rapid image correction method for radial distortion |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105005972A (en) * | 2015-06-30 | 2015-10-28 | 广东欧珀移动通信有限公司 | Shooting distance based distortion correction method and mobile terminal |
CN105455285A (en) * | 2015-12-31 | 2016-04-06 | 北京小鸟看看科技有限公司 | Virtual reality helmet adaptation method |
CN106572342A (en) * | 2016-11-10 | 2017-04-19 | 北京奇艺世纪科技有限公司 | Image anti-distortion and anti-dispersion processing method, device and virtual reality device |
CN107220925A (en) * | 2017-05-05 | 2017-09-29 | 珠海全志科技股份有限公司 | A kind of real accelerating method and device of real-time virtual |
-
2017
- 2017-12-22 CN CN201711404162.1A patent/CN109961402A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105005972A (en) * | 2015-06-30 | 2015-10-28 | 广东欧珀移动通信有限公司 | Shooting distance based distortion correction method and mobile terminal |
CN105455285A (en) * | 2015-12-31 | 2016-04-06 | 北京小鸟看看科技有限公司 | Virtual reality helmet adaptation method |
CN106572342A (en) * | 2016-11-10 | 2017-04-19 | 北京奇艺世纪科技有限公司 | Image anti-distortion and anti-dispersion processing method, device and virtual reality device |
CN107220925A (en) * | 2017-05-05 | 2017-09-29 | 珠海全志科技股份有限公司 | A kind of real accelerating method and device of real-time virtual |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112541861A (en) * | 2019-09-23 | 2021-03-23 | 华为技术有限公司 | Image processing method, device, equipment and computer storage medium |
CN112541861B (en) * | 2019-09-23 | 2024-05-24 | 华为技术有限公司 | Image processing method, device, equipment and computer storage medium |
CN111539898A (en) * | 2020-05-09 | 2020-08-14 | 京东方科技集团股份有限公司 | Image processing method and image display device |
CN111539898B (en) * | 2020-05-09 | 2023-08-01 | 京东方科技集团股份有限公司 | Image processing method and image display device |
CN112288651A (en) * | 2020-10-28 | 2021-01-29 | 上海盈赞通信科技有限公司 | Method and device for rapidly realizing video anti-distortion |
CN112819725A (en) * | 2021-02-05 | 2021-05-18 | 广东电网有限责任公司广州供电局 | Rapid image correction method for radial distortion |
CN112819725B (en) * | 2021-02-05 | 2023-10-03 | 广东电网有限责任公司广州供电局 | Quick image correction method for radial distortion |
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