CN113298886A - Calibration method of projector - Google Patents

Calibration method of projector Download PDF

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CN113298886A
CN113298886A CN202110847573.8A CN202110847573A CN113298886A CN 113298886 A CN113298886 A CN 113298886A CN 202110847573 A CN202110847573 A CN 202110847573A CN 113298886 A CN113298886 A CN 113298886A
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projector
calibration
matrix
coordinate system
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CN113298886B (en
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涂俊超
徐兵
史慈南
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Light Information Technology Ningbo Co ltd
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    • G06T7/00Image analysis
    • G06T7/80Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

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Abstract

The invention discloses a calibration method of a projector, which comprises the steps of placing a calibration object in a view field of the projector according to the field condition and adjusting a lens to focus on the calibration object; interactively controlling the projector to project light rays onto the mark points on the calibration object; estimating an intrinsic parameter K and an extrinsic parameter R, t of the projector using the 3D-2D matching coordinates; and (4) iteratively optimizing the projector parameters according to the principle of minimum re-projection error to obtain the optimal internal parameter K and distortion coefficient d. According to the invention, a camera or a sensor of a third party is not needed, and only the projector is required to be guided to project an image onto a space object with a known size interactively, so that correct 3D-2D matching coordinates can be directly obtained, and a calibration task of the projector in a large range is completed.

Description

Calibration method of projector
Technical Field
The invention relates to the technical field of projector calibration, in particular to a projector calibration method.
Background
The projector is widely applied to the fields of data visualization, space augmented reality, interactive field teaching, structured light three-dimensional reconstruction and the like. In these application scenarios, it is generally necessary to precisely control the projector to project the image onto a predetermined spatial position, so that the projector needs to be calibrated in actual operation. Although the optical path of the projector is completely opposite to that of the camera, the two structures are quite similar, so that the model of the projector is completely the same as that of the camera and is also an intrinsic parameter model based on perspective projection. Therefore, the calibration of the projector is similar to the calibration of the camera, and a spatial three-dimensional coordinate and a two-dimensional pixel coordinate corresponding to the spatial three-dimensional coordinate on an image plane need to be acquired and recorded as a 3D-2D matching coordinate.
The projector and the camera have different functions, and only have a projection function, and do not have the ability of sensing the surrounding environment, so all current calibration methods for projectors need to complete the calibration task by using a third-party camera or sensor, for example, a projector calibration method and device (CN 201710122971.7) and a monocular camera and projector combined calibration method (CN 202011104456.4) are disclosed. In order to obtain 3D-2D matching coordinates, the existing methods are mainly respectively of two types, the first type is that 3D coordinates are known, and the key point is that a structural light fixed object image which is shot by a camera or received by a sensor and is covered with a projector for projection is used for determining 2D coordinates of an imaging point on a projector image plane corresponding to a space point; another is that the 2D coordinates are known, the features are projected onto a calibration object by a projector, and then the 3D coordinates of the features are measured using binocular vision. To accomplish the calibration task, either method must rely on the sensing capabilities of third party cameras or sensors to obtain the 3D-2D matching coordinates. Calibrating a projector using a third party camera or sensor also presents a number of problems: (1) on the hardware level, a camera, a sensor or a binocular system must be added for calibrating the projector, so that the complexity of the system is improved, and the use cost is also improved; (2) when the device is used by a user, the projector is generally required to be controlled to project a structured light 2 image or other mode images, meanwhile, the camera is required to shoot in sequence, and the sensor is also required to receive corresponding information, so that the requirement on the user is high; (3) both the camera and the projector have limitations of field of view and focal length, and the camera needs to capture a projected image, so that how to select a proper configuration (such as resolution of the camera, distance between the camera and the projector, and angle) to obtain a high-precision calibration result is also a problem to be considered; (4) in the calibration process, the physical quantity required for calibration can be obtained by a camera and a sensor of a third party, and additional errors such as image noise, camera lens distortion and the like may be introduced. (5) The calibration of the projector, whether by means of a third-party camera or a sensor, can only be carried out to a small extent.
Disclosure of Invention
The invention aims to provide a projector calibration method. According to the invention, a camera or a sensor of a third party is not needed, and only the projector is required to be guided to project an image onto a space object with a known size interactively, so that correct 3D-2D matching coordinates can be directly obtained, and a calibration task of the projector in a large range is completed.
The technical scheme of the invention is as follows: a calibration method of a projector, wherein a device participating in calibration comprises the projector and a host computer, wherein the host computer can control the projector to project any type of images, and the calibration method comprises the following calibration steps:
firstly, taking a calibration object which is calibrated with N marking points in advance, adjusting a lens of a projector according to the required working space of the projector, and focusing the lens on the calibration object;
secondly, marking the coordinates of N marked points on the marker in a world coordinate system as
Figure 80338DEST_PATH_IMAGE001
Interactively controlling the pixel coordinates of the projector, and recording the pixel coordinates corresponding to the N marking points
Figure 235376DEST_PATH_IMAGE002
Thirdly, recording an internal parameter matrix of the projector as K, a rotation matrix of the world coordinate system relative to the projector coordinate system as R and a translation vector of the world coordinate system relative to the projector coordinate system as t, and establishing an equation set according to perspective projection
Figure 911208DEST_PATH_IMAGE003
Step four, solving the equation set in step three, and solving the equation set in step two
Figure 742767DEST_PATH_IMAGE001
And
Figure 933577DEST_PATH_IMAGE002
written in homogeneous form and comprising K, R, t in matrix
Figure 361147DEST_PATH_IMAGE004
In the method, a matrix M is obtained through solving;
separating an internal parameter K and an external parameter R, t of the projector from the matrix M in sequence;
step six, distortion coefficient vector
Figure 891485DEST_PATH_IMAGE005
Incorporated into the projector model, denoted pri (), the objective function is constructed
Figure 441415DEST_PATH_IMAGE006
And performing iterative optimization on each parameter to further obtain an optimized projector internal parameter K, d, and completing the calibration of the projector.
Compared with the prior art, the invention has the beneficial effects that: according to the method, only one calibration object is needed to complete the calibration task, the projector is controlled to project light beams to the marks of the calibration object through a manual interactive method, so that the corresponding 3D-2D matching coordinates are directly obtained, and the model parameters of the projector can be directly obtained by using the calibration method provided by the invention. The method for projecting the light beam by the projector directly does not need a third-party camera or a sensor, does not need the projector to project a complex structured light image, is flexible and simple to operate, and can be suitable for field calibration of different fields of view.
Because a third-party camera or a sensor is not needed, the hardware cost is low, the algorithm complexity during calibration is low, the pixel coordinates of the projector can be recorded directly according to the interactive light beam, and extra calculation cost is not needed.
Because a third-party camera or a sensor is not needed, the calibration method does not introduce additional error factors such as image noise, camera lens distortion and the like, so that the accumulated error of the calibration result is low, and in addition, the reprojection error is minimized through iterative optimization of all parameters, so that the optimal calibration result is obtained.
In the foregoing calibration method for a projector, the size of the calibration object is known, and the number N of the marker points on the calibration object is greater than 6.
In the aforementioned calibration method for a projector, in the second step, when the coordinates of the pixels of the projector are interactively controlled, the projected light beam reaches the center of each mark point.
In the foregoing calibration method for a projector, the internal parameter matrix K of the projector includes
Figure 57205DEST_PATH_IMAGE007
Four variables.
In the calibration method for the projector, when the matrix M is solved in the fourth step, the equation in the third step is rewritten into the equation
Figure 803313DEST_PATH_IMAGE008
And solving by a least square method to obtain a matrix M.
In the aforementioned calibration method for a projector, the coordinates of N pixels obtained in step two are used in step six
Figure 250474DEST_PATH_IMAGE002
Using K, R, t and 0 distortion coefficients obtained in step five as initial values, and using gradient descent method to make objective function
Figure 643410DEST_PATH_IMAGE006
The minimum is obtained and the optimized projector intrinsic parameters K, d are obtained.
Drawings
FIG. 1 is a schematic diagram of hardware components used in a calibration method of a projector according to the present invention;
FIG. 2 is a schematic flow chart of a calibration method for a projector according to the present invention;
FIG. 3 is a schematic illustration of a calibration object used in an embodiment of the present invention;
FIG. 4 is a graph of the results of a calibration test experiment using the calibration material of FIG. 3.
Detailed Description
The invention is further illustrated by the following figures and examples, which are not to be construed as limiting the invention.
Example (b): a calibration method of a projector, the device involved in calibration comprises a projector, a computer host and a calibration object, as shown in figure 1, wherein the computer host can control the projector to project any type of image, the specific calibration method comprises the following steps (the flow is shown in figure 2), in this embodiment, the object to be calibrated is a commercial projector, the model is DELL M115HD, and the resolution is 1024 x 768.
Firstly, a prepared self-made calibration object is taken, N (N is more than 6) marking points are arranged on the calibration object, the spatial position relation among all the marking points is accurately measured in advance, preferably, 13 marking points are taken on the calibration object in the embodiment, the calibration object is placed in a projection operation space according to the projection range of a projector, the projector projects a cross pattern on the calibration object, and the lens of the projector is adjusted, so that the projected cross pattern can be imaged on the calibration object most clearly (as shown in fig. 3).
Step two, recording the coordinates of 13 mark points on the calibration object in the world coordinate system when the image projected in the step one is imaged on the calibration object most clearly
Figure 12074DEST_PATH_IMAGE001
(ii) a The effect of projecting a bright spot can be achieved by setting the gray value of a certain pixel in a projection picture to be 255 and the gray values of the rest pixels to be 0, the projection position of the bright spot in the space can be moved by changing the position of the pixel in the image, the bright spot can be interactively moved to the center of a certain mark point by means of observation of human eyes, the movement of the bright spot is repeated, the bright spot is respectively moved to the centers of all mark points on a calibration object, and when the bright spot is recorded to move to the center of the mark point, the bright spot in the projection image can be recordedThe coordinates of the 13 pixels are recorded as
Figure 843764DEST_PATH_IMAGE002
Thereby obtaining 13 pairs of 3D-2D matching coordinates.
Thirdly, recording an internal parameter matrix of the projector as K, a rotation matrix of the world coordinate system relative to the coordinate system of the projector as R, and a translation vector of the world coordinate system relative to the coordinate system of the projector as t, wherein the internal parameter matrix of the projector K comprises
Figure 348695DEST_PATH_IMAGE007
Four variables, based on perspective projection, to establish a system of equations
Figure 427378DEST_PATH_IMAGE003
And solving an equation by using the 13 pairs of matched coordinates obtained in the step two.
Step four, in order to solve the equation set in step three, the equation set in step two is solved
Figure 80076DEST_PATH_IMAGE001
And
Figure 653140DEST_PATH_IMAGE002
written in homogeneous form and including the quantities to be solved K, R, t in the matrix
Figure 12577DEST_PATH_IMAGE004
In step three, therefore, the equation in step three needs to be rewritten into
Figure 75211DEST_PATH_IMAGE008
And then the matrix M can be obtained by solving through a least square method.
And step five, separating the internal parameter K and the external parameter R, t of the projector from the matrix M in sequence.
Step six, considering the distortion effect of the lens, and transforming the distortion coefficient vector
Figure 152888DEST_PATH_IMAGE005
Incorporated into the model of the projector is,and (5) constructing an objective function, which is marked as pri ()
Figure 778911DEST_PATH_IMAGE006
Using the coordinates of 13 pixels obtained in step two
Figure 55171DEST_PATH_IMAGE002
Using K, R, t and 0 distortion coefficients obtained in step five as initial values, and using gradient descent method to make objective function
Figure 226390DEST_PATH_IMAGE006
Get the minimum and thus optimized projector intrinsic parameters K, d, and in particular, the best projector intrinsic parameters
Figure 791363DEST_PATH_IMAGE009
Coefficient of distortion
Figure 768546DEST_PATH_IMAGE010
And finally completing the calibration of the projector.
In order to verify the validity of the calibration parameters, in this embodiment, all the mark points on the calibration object are projected as target points, that is, the pixel coordinates of the bright point in the projected image corresponding to the bright point projected to the center position of each mark point are calculated by using the calibrated projector and the spatial coordinates of the mark points, so that the center positions of all the mark points are lit, and the effect is as shown in fig. 4.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned examples, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.

Claims (6)

1. A calibration method of a projector, the device involved in calibration comprises a projector and a host computer, wherein the host computer can control the projector to project any type of images, and the method is characterized in that: the method comprises the following calibration steps:
firstly, taking a calibration object which is calibrated with N marking points in advance, adjusting a lens of a projector according to the required working space of the projector, and focusing the lens on the calibration object;
secondly, marking the coordinates of N marked points on the marker in a world coordinate system as
Figure DEST_PATH_IMAGE001
Interactively controlling the pixel coordinates of the projector, and recording the pixel coordinates corresponding to the N marking points
Figure DEST_PATH_IMAGE002
Thirdly, recording an internal parameter matrix of the projector as K, a rotation matrix of the world coordinate system relative to the projector coordinate system as R and a translation vector of the world coordinate system relative to the projector coordinate system as t, and establishing an equation set according to perspective projection
Figure DEST_PATH_IMAGE003
Step four, solving the equation set in step three, and solving the equation set in step two
Figure 937771DEST_PATH_IMAGE001
And
Figure 527015DEST_PATH_IMAGE002
written in homogeneous form and comprising K, R, t in matrix
Figure DEST_PATH_IMAGE004
In the method, a matrix M is obtained through solving;
separating an internal parameter K and an external parameter R, t of the projector from the matrix M in sequence;
step six, distortion coefficient vector
Figure DEST_PATH_IMAGE005
Incorporated into the projector model, denoted pri (), the objective function is constructed
Figure DEST_PATH_IMAGE006
And performing iterative optimization on each parameter to further obtain an optimized projector internal parameter K, d, and completing the calibration of the projector.
2. A calibration method for a projector according to claim 1, wherein: the size of the calibration object is known, and the number N of the marking points on the calibration object is more than 6.
3. A calibration method for a projector according to claim 1, wherein: in the second step, when the pixel coordinates of the projector are interactively controlled, the projected light beams reach the centers of the mark points.
4. A calibration method for a projector according to claim 1, wherein: the intrinsic parameter matrix K of the projector comprises
Figure 916539DEST_PATH_IMAGE007
Four variables.
5. A calibration method for a projector according to claim 1, wherein: when the matrix M is solved in the fourth step, the equation in the third step is rewritten into
Figure DEST_PATH_IMAGE008
And solving by a least square method to obtain a matrix M.
6. A calibration method for a projector according to claim 1, wherein: in the sixth step, the N pixel coordinates obtained in the second step are utilized
Figure 709484DEST_PATH_IMAGE002
Step (b), step (b)Using K, R, t and 0 distortion coefficient obtained in the fifth step as initial values, and using gradient descent method to make objective function
Figure 195960DEST_PATH_IMAGE006
The minimum is obtained and the optimized projector intrinsic parameters K, d are obtained.
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CN117593378A (en) * 2023-11-01 2024-02-23 誉昊光电科技(珠海)有限公司 Device and method for calibrating internal parameters of vehicle-mounted camera module

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