US20170059313A1 - Image capture device with a calibration function and calibration method of an image capture device - Google Patents

Image capture device with a calibration function and calibration method of an image capture device Download PDF

Info

Publication number
US20170059313A1
US20170059313A1 US14/964,587 US201514964587A US2017059313A1 US 20170059313 A1 US20170059313 A1 US 20170059313A1 US 201514964587 A US201514964587 A US 201514964587A US 2017059313 A1 US2017059313 A1 US 2017059313A1
Authority
US
United States
Prior art keywords
image
calibration
points
coordinates
rectification
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
US14/964,587
Other versions
US9581439B1 (en
Inventor
Chi-Feng Lee
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
eYs3D Microelectronics Co
Original Assignee
eYs3D Microelectronics Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by eYs3D Microelectronics Co filed Critical eYs3D Microelectronics Co
Assigned to ETRON TECHNOLOGY, INC. reassignment ETRON TECHNOLOGY, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: LEE, CHI-FENG
Assigned to EYS3D MICROELECTRONICS, CO. reassignment EYS3D MICROELECTRONICS, CO. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ETRON TECHNOLOGY, INC.
Application granted granted Critical
Publication of US9581439B1 publication Critical patent/US9581439B1/en
Publication of US20170059313A1 publication Critical patent/US20170059313A1/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G06T3/18
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/02Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
    • G01B21/04Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness by measuring coordinates of points
    • G01B21/042Calibration or calibration artifacts
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00Diagnosis, testing or measuring for television systems or their details
    • H04N17/002Diagnosis, testing or measuring for television systems or their details for television cameras
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/002Measuring arrangements characterised by the use of optical techniques for measuring two or more coordinates
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B7/00Measuring arrangements characterised by the use of electric or magnetic techniques
    • G01B7/004Measuring arrangements characterised by the use of electric or magnetic techniques for measuring coordinates of points
    • G06T5/80
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/80Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

Definitions

  • the present invention relates to an image capture device with a calibration function and a calibration method of an image capture device, and particularly to an image capture device and a calibration method that can execute a global calibration operation on images captured by the image capture unit, and then execute a local calibration operation on the images executed by the global calibration operation to boost accuracy of the global calibration function.
  • an image capture device usually has geometric errors and assembly tolerance due to characteristics of a lens of the image capture device or an assembly process of the image capture device during the assembly process of the image capture device.
  • the prior art provides complicated mathematical models to rectify the geometric errors and the assembly tolerance of the image capture device. That is to say, the mathematical models provided by the prior art are used for simulating physical behavior of the image capture device to reduce the geometric errors and the assembly tolerance of the image capture device.
  • An embodiment of the present invention provides a calibration method of an image capture device, wherein the image capture device comprises at least one image capture unit and a calibration unit.
  • the calibration method includes an image capture unit of the at least one image capture unit capturing a first image; the calibration unit executing a global calibration operation on original coordinates of all image points of the first image to generate first rectification coordinates of the all image points of the first image; the calibration unit finding a geometric graph comprising each image point of at least one image point of the all image points according to first rectification coordinates of the each image point of the at least one image point of the all image points; and the calibration unit rectifying the first rectification coordinates of the each image point of the at least one image point of the all image points to second rectification coordinates of the each image point of the at least one image point of the all image points according to a rectification equation corresponding to the geometric graph.
  • the image capture device includes at least one image capture unit and a calibration unit.
  • An image capture unit of the at least one image capture unit captures a first image.
  • the calibration unit is coupled to the at least one image capture unit for executing a global calibration operation on original coordinates of all image points of the first image to generate first rectification coordinates of the all image points of the first image, finding a geometric graph including each image point of at least one image point of the all image points according to first rectification coordinates of the each image point of the at least one image point of the all image points, and rectifying the first rectification coordinates of the each image point of the at least one image point of the all image points to second rectification coordinates of the each image point of the at least one image point of the all image points according to a rectification equation corresponding to the geometric graph.
  • the present invention provides an image capture device with a calibration function and a calibration method of an image capture device.
  • the image capture device and the calibration method first utilize a calibration unit to execute a global calibration operation on original coordinates of all image points of an image captured by an image capture unit to generate first rectification coordinates of the all image points of the image, and then utilize the calibration unit to find a rectification equation corresponding to a geometric graph including each image point of at least one image point of the all image points of the image according to first rectification coordinates of the each image point of the at least one image point of the all image points of the image to rectify the first rectification coordinates of the each image point of at least one image point of the all image points of the image to second rectification coordinates of the each image point of at least one image point of the all image points of the image.
  • the present invention can boost accuracy of the second rectification coordinates of the each image point of the at least one image point of the all image points through the rectification equation corresponding to the geometric graph including the each image point of the at least one image point of the all image points.
  • FIG. 1 is a diagram illustrating an image capture device with a calibration function according to a first embodiment of the present invention and a target calibration pattern.
  • FIG. 2 is a diagram illustrating a first image including a calibration pattern.
  • FIG. 3 is a flowchart illustrating a calibration method of an image capture device according to a second embodiment of the present invention.
  • FIG. 4 is a diagram illustrating the calibration pattern shown in the first image FI being a Pincushion Distortion pattern or a Barrel Distortion pattern.
  • FIG. 5 is a diagram illustrating an image point of the first image being located within the triangle.
  • FIG. 6 is a diagram illustrating a programmable target calibration pattern shown on a display screen.
  • FIG. 7 is a diagram illustrating a plurality of geometric graphs formed by all feature points of the second image being a plurality of rectangles after the host adjusts the positions of the feature points displayed on the display screen.
  • FIG. 8 is a diagram illustrating the feature points of the second image being all located on grids.
  • FIG. 1 is a diagram illustrating an image capture device 100 with a calibration function according to a first embodiment of the present invention and a target calibration pattern 130 , wherein the target calibration pattern 130 is a real chart.
  • the image capture device 100 includes an image capture unit 102 and a calibration unit 104 , wherein the calibration unit 104 is coupled to the image capture unit 102 .
  • the present invention is not limited to the image capture device 100 only including one image capture unit. That is to say, the image capture device 100 can also include a plurality of image capture units.
  • the target calibration pattern 130 has 9 feature points FP 1 -FP 9 . But, the present invention is not limited to the target calibration pattern 130 having the feature points FP 1 -FP 9 .
  • the image capture unit 102 first executes an image capture operation on the target calibration pattern 130 to generate a first image FI including a calibration pattern 140 (as shown in FIG. 2 ), wherein the calibration pattern 140 corresponds to the target calibration pattern 130 . Because the target calibration pattern 130 has the feature points FP 1 -FP 9 , the calibration pattern 140 shown in the first image FI also has 9 feature points FFP 1 -FFP 9 .
  • the calibration unit 104 divides the calibration pattern 140 shown in the first image FI into a plurality of triangles (e.g. the feature points FFP 1 , FFP 2 , FFP 5 form a triangle TR 1 ) according to the feature points FFP 1 -FFP 9 .
  • the present invention is not limited to the calibration unit 104 dividing the calibration pattern 140 shown in the first image FI into the plurality of triangles according to the feature points FFP 1 -FFP 9 . That is to say, the calibration unit 104 can also divide the calibration pattern 140 shown in the first image FI into a plurality of rectangles or a plurality of polygons according to the feature points FFP 1 -FFP 9 .
  • the calibration unit 104 can determine a rectification equation corresponding to the triangle TR 1 of the plurality of triangles according to coordinates of feature points FP 1 , FP 2 , FP 5 included in a target geometric graph TTR 1 corresponding to the triangle TR 1 of the plurality of triangles and coordinates of the feature points FFP 1 , FFP 2 , FFP 5 included in the triangle TR 1 , wherein the target geometric graph TTR 1 is included in the target calibration pattern 130 .
  • the feature points FFP 1 , FFP 2 , FFP 5 correspond to the feature points FP 1 , FP 2 , FP 5 respectively, and coordinates of the feature point FFP 1 are (X 1 , Y 1 ), coordinates of the feature point FFP 2 are (X 2 , Y 2 ), coordinates of the feature point FFP 5 are (X 3 , Y 3 ), corresponding coordinates of the feature point FP 1 in the first image FI are (X 1 ′, Y 1 ′), corresponding coordinates of the feature point FP 2 in the first image FI are (X 2 ′, Y 2 ′), corresponding coordinates of the feature point FP 5 in the first image FI are (X 3 ′, Y 3 ′).
  • the calibration unit 104 can determined coefficients a, b, c, d, e, f of the rectification equation corresponding to the triangle TR 1 according to the coordinates of the feature points FFP 1 , FFP 2 , FFP 5 , the corresponding coordinates of the feature points FP 1 , FP 2 , FP 5 , and equations (1)-(6):
  • the calibration unit 104 After the calibration unit 104 determines the coefficients a, b, c, d, e, f of the rectification equation corresponding to the triangle TR 1 according to the coordinates of the feature points FFP 1 , FFP 2 , FFP 5 , the corresponding coordinates of the feature points FP 1 , FP 2 , FP 5 , and equations (1)-(6), the calibration unit 104 can store the coefficients a, b, c, d, e, f in a memory unit 1042 of the calibration unit 104 . In addition, the calibration unit 104 can also utilize the above mentioned method to generate rectification equations corresponding to other triangles shown in the first image FI, so further description thereof is omitted for simplicity.
  • the image capture device 100 includes at least two image capture units and an image capture unit of the at least two image capture unit has been calibrated before the image capture device 100 is shipped, so an image including the target calibration pattern 130 captured by the image capture unit can also act as a target calibration pattern.
  • FIG. 3 is a flowchart illustrating a calibration method of an image capture device according to a second embodiment of the present invention.
  • the calibration method in FIG. 3 is illustrated using the image capture device 100 in FIG. 1 .
  • Detailed steps are as follows:
  • Step 300 Start.
  • Step 302 The image capture unit 102 captures the first image FI.
  • Step 304 The calibration unit 104 executes a global calibration operation on original coordinates of all image points of the first image FI to generate first rectification coordinates of the all image points of the first image FI.
  • Step 306 The calibration unit 104 finds a geometric graph including each image point of at least one image point of the all image points of the first image FI according to first rectification coordinates of the each image point of the at least one image point of the all image points of the first image FI.
  • Step 308 The calibration unit 104 rectifies the first rectification coordinates of the each image point of the at least one image point of the all image points of the first image FI to second rectification coordinates according to a rectification equation corresponding to the geometric graph including the each image point of the at least one image point of the all image points.
  • Step 310 End.
  • each image point of the all image points of the first image FI is generated by a corresponding pixel of the image capture unit 102 .
  • the calibration unit 104 utilizes a global calibration model provided by the prior art to execute the global calibration operation on the original coordinates of the all image points of the first image FI to generate the first rectification coordinates of the all image points of the first image FI, and to make first rectification coordinates of each image point of the all image points of the first image FI match corresponding coordinates of the target calibration pattern 130 . For example, as shown in FIG.
  • the calibration unit 104 can utilize the global calibration model provided by the prior art to execute the global calibration operation on the original coordinates of the all image points of the first image FI to make the first rectification coordinates of the each image point of the all image points match the corresponding coordinates of the target calibration pattern 130 . That is to say, the calibration unit 104 can utilize the global calibration model provided by the prior art to make the Pincushion Distortion pattern 150 or the Barrel Distortion pattern 160 become a rectangle pattern 170 .
  • Step 306 after the first rectification coordinates of the all image points of the first image FI are generated, the calibration unit 104 can find the geometric graph including the each image point of the at least one image point of the all image points of the first image FI according to the first rectification coordinates of the each image point of the at least one image point of the all image points of the first image FI. That is to say, the calibration unit 104 can find a geometric graph including the each image point of the all image points (or partial image points of the all image points) of the first image FI according to the first rectification coordinates of the each image point of the all image points (or the partial image points of the all image points) of the first image FI.
  • Step 308 because the global calibration model provided by the prior art cannot be applied to every image point of the all image points of the first image FI, the calibration unit 104 can rectify the first rectification coordinates of the each image point of the at least one image point of the all image points of the first image FI to the second rectification coordinates according to the rectification equation corresponding to the geometric graph including the each image point of the all image points (or the partial image points of the all image points) of the first image FI.
  • an image point IMP of the first image FI is located within the triangle TR 1 , wherein the triangle TR 1 is represented by dashed lines.
  • the calibration unit 104 can rectify the first rectification coordinates of the image point IMP to second rectification coordinates of the image point IMP according to the rectification equation corresponding to the triangle TR 1 .
  • the calibration unit 104 can boost accuracy of the second rectification coordinates of the image point IMP through the rectification equation corresponding to the triangle TR 1 .
  • the calibration unit 104 may not find the geometric graph (e.g. the above mentioned triangle TR 1 ) including the each image point of the all image points (or the partial image points of the all image points) of the first image FI easily according to the first rectification coordinates of the each image point of the all image points (or the partial image points of the all image points) of the first image FI, in another embodiment of the present invention, the present invention provides a programmable target calibration pattern 180 shown on a display screen 190 (as shown in FIG. 6 ), wherein a host 200 is electrically connected to the display screen 190 and the image capture device 100 . As shown in FIG.
  • the host 200 can repeatedly adjusts positions of feature points CFP 1 , CFP 2 (corresponding to the feature points SFP 1 , SFP 4 of the second image SI) of the programmable target calibration pattern 180 displayed on the display screen 190 until the feature point SFP 1 and the feature points SFP 2 , SFP 3 can form a rectangle together, and the feature point SFP 4 and the feature points SFP 5 , SFP 3 can form a rectangle together.
  • a plurality of geometric graphs formed by all feature points of the second image SI can be a plurality of rectangles.
  • the calibration unit 104 can utilize the above mentioned method to generate rectification equations corresponding to the plurality of rectangles formed within the second image SI. Because the calibration unit 104 only needs information of four sides of a rectangle the plurality of rectangles formed within the second image SI to define a position of the rectangle the plurality of rectangles formed within the second image SI, the calibration unit 104 does not need the memory unit 1042 with high capacity to store all information corresponding to the plurality of rectangles formed within the second image SI, and in Step 306 , the calibration unit 104 can find a rectangle including the each image point of at least one image point of the all image points of the first image FI easily according to the first rectification coordinates of the each image point of the all image points of the first image FI and the all information corresponding to the plurality of rectangles formed within the second image SI.
  • Step 306 burden for the calibration unit 104 determining whether the each image point of the at least one image point of the all image points is located within a corresponding rectangle is less than burden for the calibration unit 104 determining whether the each image point of the at least one image point of the all image points is located within a corresponding triangle.
  • the calibration unit 104 can find the rectangle including the each image point of at least one image point of the all image points without complicated operation according to the first rectification coordinates of the each image point of the at least one image point of the all image points.
  • the host 200 can repeatedly adjusts positions of feature points of the programmable target calibration pattern 180 displayed on the display screen 190 until feature points of the second image SI are located on corresponding predetermined positions (e.g. as shown in FIG. 8 , after the positions of the feature points of the programmable target calibration pattern 180 are repeatedly adjusted, the feature points of the second image SI are all located on grids (that is, the feature points of the second image SI are all located on corresponding predetermined positions)).
  • the calibration unit 104 does also not need the memory unit 1042 with high capacity to store all information corresponding to the positions of the plurality of feature points within the second image SI, and in Step 306 , the calibration unit 104 can find the rectangle including the each image point of at least one image point of the all image points easily according to the first rectification coordinates of the each image point of the at least one image point of the all image points and all information corresponding to the positions of the plurality of feature points within the second image SI.
  • the image capture device and the calibration method first utilize the calibration unit to execute the global calibration operation on the original coordinates of the all image points of the image captured by the image capture unit to generate the first rectification coordinates of the all image points of the image, and then utilize the calibration unit to find the rectification equation corresponding to the geometric graph including the each image point of the at least one image point of the all image points of the image according to the first rectification coordinates of the each image point of the at least one image point of the all image points of the image to rectify the first rectification coordinates of the each image point of at least one image point of the all image points of the image to the second rectification coordinates of the each image point of at least one image point of the all image points of the image.
  • the present invention can boost accuracy of the second rectification coordinates of the each image point of the at least one image point of the all image points through the rectification equation corresponding to the geometric graph including the each image point of the at least one image point of the all image points.

Abstract

An image capture device includes at least one image capture unit and a calibration unit. A calibration method of the image capture device includes an image capture unit of the at least one image capture unit capturing a first image, the calibration unit executing a global calibration operation on original coordinates of all image points of the first image to generate first rectification coordinates of the all image points, the calibration unit finding a geometric graph including each image point of at least one image point of the all image points according to first rectification coordinates of the each image point of the at least one image point of the all image points, and the calibration unit rectifying the first rectification coordinates of the each image point to second rectification coordinates of the each image point according to a rectification equation corresponding to the geometric graph.

Description

    BACKGROUND OF THE INVENTION
  • 1. Field of the Invention
  • The present invention relates to an image capture device with a calibration function and a calibration method of an image capture device, and particularly to an image capture device and a calibration method that can execute a global calibration operation on images captured by the image capture unit, and then execute a local calibration operation on the images executed by the global calibration operation to boost accuracy of the global calibration function.
  • 2. Description of the Prior Art
  • Generally speaking, an image capture device usually has geometric errors and assembly tolerance due to characteristics of a lens of the image capture device or an assembly process of the image capture device during the assembly process of the image capture device. The prior art provides complicated mathematical models to rectify the geometric errors and the assembly tolerance of the image capture device. That is to say, the mathematical models provided by the prior art are used for simulating physical behavior of the image capture device to reduce the geometric errors and the assembly tolerance of the image capture device.
  • However, in fact, the mathematical models provided by the prior art cannot completely simulate the physical behavior of the image capture device due to factors of optical characteristics of the image capture device, resulting in images captured by the image capture device having poor quality. Therefore, how to boost accuracy of the prior art executing a calibration operation on the image capture device becomes an important issue.
  • SUMMARY OF THE INVENTION
  • An embodiment of the present invention provides a calibration method of an image capture device, wherein the image capture device comprises at least one image capture unit and a calibration unit. The calibration method includes an image capture unit of the at least one image capture unit capturing a first image; the calibration unit executing a global calibration operation on original coordinates of all image points of the first image to generate first rectification coordinates of the all image points of the first image; the calibration unit finding a geometric graph comprising each image point of at least one image point of the all image points according to first rectification coordinates of the each image point of the at least one image point of the all image points; and the calibration unit rectifying the first rectification coordinates of the each image point of the at least one image point of the all image points to second rectification coordinates of the each image point of the at least one image point of the all image points according to a rectification equation corresponding to the geometric graph.
  • Another embodiment of the present invention provides an image capture device with a calibration function. The image capture device includes at least one image capture unit and a calibration unit. An image capture unit of the at least one image capture unit captures a first image. The calibration unit is coupled to the at least one image capture unit for executing a global calibration operation on original coordinates of all image points of the first image to generate first rectification coordinates of the all image points of the first image, finding a geometric graph including each image point of at least one image point of the all image points according to first rectification coordinates of the each image point of the at least one image point of the all image points, and rectifying the first rectification coordinates of the each image point of the at least one image point of the all image points to second rectification coordinates of the each image point of the at least one image point of the all image points according to a rectification equation corresponding to the geometric graph.
  • The present invention provides an image capture device with a calibration function and a calibration method of an image capture device. The image capture device and the calibration method first utilize a calibration unit to execute a global calibration operation on original coordinates of all image points of an image captured by an image capture unit to generate first rectification coordinates of the all image points of the image, and then utilize the calibration unit to find a rectification equation corresponding to a geometric graph including each image point of at least one image point of the all image points of the image according to first rectification coordinates of the each image point of the at least one image point of the all image points of the image to rectify the first rectification coordinates of the each image point of at least one image point of the all image points of the image to second rectification coordinates of the each image point of at least one image point of the all image points of the image. Because the rectification equation corresponding to the geometric graph including the each image point of the at least one image point of the all image points is only applied to the geometric graph including the each image point of the at least one image point of the all image points, the present invention can boost accuracy of the second rectification coordinates of the each image point of the at least one image point of the all image points through the rectification equation corresponding to the geometric graph including the each image point of the at least one image point of the all image points.
  • These and other objectives of the present invention will no doubt become obvious to those of ordinary skill in the art after reading the following detailed description of the preferred embodiment that is illustrated in the various figures and drawings.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 is a diagram illustrating an image capture device with a calibration function according to a first embodiment of the present invention and a target calibration pattern.
  • FIG. 2 is a diagram illustrating a first image including a calibration pattern.
  • FIG. 3 is a flowchart illustrating a calibration method of an image capture device according to a second embodiment of the present invention.
  • FIG. 4 is a diagram illustrating the calibration pattern shown in the first image FI being a Pincushion Distortion pattern or a Barrel Distortion pattern.
  • FIG. 5 is a diagram illustrating an image point of the first image being located within the triangle.
  • FIG. 6 is a diagram illustrating a programmable target calibration pattern shown on a display screen.
  • FIG. 7 is a diagram illustrating a plurality of geometric graphs formed by all feature points of the second image being a plurality of rectangles after the host adjusts the positions of the feature points displayed on the display screen.
  • FIG. 8 is a diagram illustrating the feature points of the second image being all located on grids.
  • DETAILED DESCRIPTION
  • Please refer to FIG. 1. FIG. 1 is a diagram illustrating an image capture device 100 with a calibration function according to a first embodiment of the present invention and a target calibration pattern 130, wherein the target calibration pattern 130 is a real chart. As shown in FIG. 1, the image capture device 100 includes an image capture unit 102 and a calibration unit 104, wherein the calibration unit 104 is coupled to the image capture unit 102. But, the present invention is not limited to the image capture device 100 only including one image capture unit. That is to say, the image capture device 100 can also include a plurality of image capture units. In addition, as shown in FIG. 1, the target calibration pattern 130 has 9 feature points FP1-FP9. But, the present invention is not limited to the target calibration pattern 130 having the feature points FP1-FP9.
  • The image capture unit 102 first executes an image capture operation on the target calibration pattern 130 to generate a first image FI including a calibration pattern 140 (as shown in FIG. 2), wherein the calibration pattern 140 corresponds to the target calibration pattern 130. Because the target calibration pattern 130 has the feature points FP1-FP9, the calibration pattern 140 shown in the first image FI also has 9 feature points FFP1-FFP9. The calibration unit 104 divides the calibration pattern 140 shown in the first image FI into a plurality of triangles (e.g. the feature points FFP1, FFP2, FFP5 form a triangle TR1) according to the feature points FFP1-FFP9. But, the present invention is not limited to the calibration unit 104 dividing the calibration pattern 140 shown in the first image FI into the plurality of triangles according to the feature points FFP1-FFP9. That is to say, the calibration unit 104 can also divide the calibration pattern 140 shown in the first image FI into a plurality of rectangles or a plurality of polygons according to the feature points FFP1-FFP9. After the calibration unit 104 divides the calibration pattern 140 shown in the first image FI into the plurality of triangles, the calibration unit 104 can determine a rectification equation corresponding to the triangle TR1 of the plurality of triangles according to coordinates of feature points FP1, FP2, FP5 included in a target geometric graph TTR1 corresponding to the triangle TR1 of the plurality of triangles and coordinates of the feature points FFP1, FFP2, FFP5 included in the triangle TR1, wherein the target geometric graph TTR1 is included in the target calibration pattern 130. For example, the feature points FFP1, FFP2, FFP5 correspond to the feature points FP1, FP2, FP5 respectively, and coordinates of the feature point FFP1 are (X1, Y1), coordinates of the feature point FFP2 are (X2, Y2), coordinates of the feature point FFP5 are (X3, Y3), corresponding coordinates of the feature point FP1 in the first image FI are (X1′, Y1′), corresponding coordinates of the feature point FP2 in the first image FI are (X2′, Y2′), corresponding coordinates of the feature point FP5 in the first image FI are (X3′, Y3′). Therefore, the calibration unit 104 can determined coefficients a, b, c, d, e, f of the rectification equation corresponding to the triangle TR1 according to the coordinates of the feature points FFP1, FFP2, FFP5, the corresponding coordinates of the feature points FP1, FP2, FP5, and equations (1)-(6):

  • X 1 ′=aX 1 +bY 1 +c  (1)

  • Y 1 ′=dX 1 +eY 1 +f  (2)

  • X 2 ′=aX 2 +bY 2 +c  (3)

  • Y 2 ′=dX 2 +eY 2 +f  (4)

  • X 3 ′=aX 3 +bY 3 +c  (5)

  • Y 3 ′=aX 3 +bY 3 +c  (6)
  • Because X1, Y1, X2, Y2, X3, Y3, X1′, Y1′, X2′, Y2′, X3′, Y3′ are known, the coefficients a, b, c, d, e, f of the rectification equation corresponding to the triangle TR1 can be determined by equations (1)-(6). After the calibration unit 104 determines the coefficients a, b, c, d, e, f of the rectification equation corresponding to the triangle TR1 according to the coordinates of the feature points FFP1, FFP2, FFP5, the corresponding coordinates of the feature points FP1, FP2, FP5, and equations (1)-(6), the calibration unit 104 can store the coefficients a, b, c, d, e, f in a memory unit 1042 of the calibration unit 104. In addition, the calibration unit 104 can also utilize the above mentioned method to generate rectification equations corresponding to other triangles shown in the first image FI, so further description thereof is omitted for simplicity. In addition, in another embodiment of the present invention, the image capture device 100 includes at least two image capture units and an image capture unit of the at least two image capture unit has been calibrated before the image capture device 100 is shipped, so an image including the target calibration pattern 130 captured by the image capture unit can also act as a target calibration pattern.
  • Please refer to FIGS. 1-3. FIG. 3 is a flowchart illustrating a calibration method of an image capture device according to a second embodiment of the present invention. The calibration method in FIG. 3 is illustrated using the image capture device 100 in FIG. 1. Detailed steps are as follows:
  • Step 300: Start.
  • Step 302: The image capture unit 102 captures the first image FI.
  • Step 304: The calibration unit 104 executes a global calibration operation on original coordinates of all image points of the first image FI to generate first rectification coordinates of the all image points of the first image FI.
  • Step 306: The calibration unit 104 finds a geometric graph including each image point of at least one image point of the all image points of the first image FI according to first rectification coordinates of the each image point of the at least one image point of the all image points of the first image FI.
  • Step 308: The calibration unit 104 rectifies the first rectification coordinates of the each image point of the at least one image point of the all image points of the first image FI to second rectification coordinates according to a rectification equation corresponding to the geometric graph including the each image point of the at least one image point of the all image points.
  • Step 310: End.
  • In Step 302, each image point of the all image points of the first image FI is generated by a corresponding pixel of the image capture unit 102. In Step 304, the calibration unit 104 utilizes a global calibration model provided by the prior art to execute the global calibration operation on the original coordinates of the all image points of the first image FI to generate the first rectification coordinates of the all image points of the first image FI, and to make first rectification coordinates of each image point of the all image points of the first image FI match corresponding coordinates of the target calibration pattern 130. For example, as shown in FIG. 4, when the calibration pattern 140 shown in the first image FI is a Pincushion Distortion pattern 150 or a Barrel Distortion pattern 160, the calibration unit 104 can utilize the global calibration model provided by the prior art to execute the global calibration operation on the original coordinates of the all image points of the first image FI to make the first rectification coordinates of the each image point of the all image points match the corresponding coordinates of the target calibration pattern 130. That is to say, the calibration unit 104 can utilize the global calibration model provided by the prior art to make the Pincushion Distortion pattern 150 or the Barrel Distortion pattern 160 become a rectangle pattern 170.
  • In Step 306, after the first rectification coordinates of the all image points of the first image FI are generated, the calibration unit 104 can find the geometric graph including the each image point of the at least one image point of the all image points of the first image FI according to the first rectification coordinates of the each image point of the at least one image point of the all image points of the first image FI. That is to say, the calibration unit 104 can find a geometric graph including the each image point of the all image points (or partial image points of the all image points) of the first image FI according to the first rectification coordinates of the each image point of the all image points (or the partial image points of the all image points) of the first image FI. In Step 308, because the global calibration model provided by the prior art cannot be applied to every image point of the all image points of the first image FI, the calibration unit 104 can rectify the first rectification coordinates of the each image point of the at least one image point of the all image points of the first image FI to the second rectification coordinates according to the rectification equation corresponding to the geometric graph including the each image point of the all image points (or the partial image points of the all image points) of the first image FI. For example, as shown in FIG. 5, an image point IMP of the first image FI is located within the triangle TR1, wherein the triangle TR1 is represented by dashed lines. Therefore, after the calibration unit 104 utilizes the global calibration model provided by the prior art executes the global calibration operation on original coordinates of the image point IMP to generate first rectification coordinates of the image point IMP, the calibration unit 104 can rectify the first rectification coordinates of the image point IMP to second rectification coordinates of the image point IMP according to the rectification equation corresponding to the triangle TR1. Thus, because the rectification equation corresponding to the triangle TR1 is only applied to the triangle TR1 (that is, the triangle TR1 is only used for simulating physical behavior of local pixels of the image capture unit 102 corresponding to the triangle TR1, and is not applied to other triangles within the first image FI), the calibration unit 104 can boost accuracy of the second rectification coordinates of the image point IMP through the rectification equation corresponding to the triangle TR1.
  • However, because the calibration unit 104 may not find the geometric graph (e.g. the above mentioned triangle TR1) including the each image point of the all image points (or the partial image points of the all image points) of the first image FI easily according to the first rectification coordinates of the each image point of the all image points (or the partial image points of the all image points) of the first image FI, in another embodiment of the present invention, the present invention provides a programmable target calibration pattern 180 shown on a display screen 190 (as shown in FIG. 6), wherein a host 200 is electrically connected to the display screen 190 and the image capture device 100. As shown in FIG. 6, after the image capture unit 102 executes an image capture operation on the programmable target calibration pattern 180 to generate a second image SI to the host 200, although feature points of the programmable target calibration pattern 180 displayed on the display screen 190 can forma plurality of rectangles, some feature points of the second image SI displayed by the host 200 and corresponding feature points of the second image SI may not form rectangle(s) together (e.g. a feature point SFP1 of the second image SI and feature points SFP2, SFP3 of the second image SI cannot form a rectangle together, and a feature point SFP4 of the second image SI and feature points SFP5, SFP3 of the second image SI cannot form a rectangle together). Therefore, as shown in FIG. 7, the host 200 can repeatedly adjusts positions of feature points CFP1, CFP2 (corresponding to the feature points SFP1, SFP4 of the second image SI) of the programmable target calibration pattern 180 displayed on the display screen 190 until the feature point SFP1 and the feature points SFP2, SFP3 can form a rectangle together, and the feature point SFP4 and the feature points SFP5, SFP3 can form a rectangle together. As shown in FIG. 7, after the host 200 adjusts the positions of the feature points CFP1, CFP2 displayed on the display screen 190, a plurality of geometric graphs formed by all feature points of the second image SI can be a plurality of rectangles. Thus, the calibration unit 104 can utilize the above mentioned method to generate rectification equations corresponding to the plurality of rectangles formed within the second image SI. Because the calibration unit 104 only needs information of four sides of a rectangle the plurality of rectangles formed within the second image SI to define a position of the rectangle the plurality of rectangles formed within the second image SI, the calibration unit 104 does not need the memory unit 1042 with high capacity to store all information corresponding to the plurality of rectangles formed within the second image SI, and in Step 306, the calibration unit 104 can find a rectangle including the each image point of at least one image point of the all image points of the first image FI easily according to the first rectification coordinates of the each image point of the all image points of the first image FI and the all information corresponding to the plurality of rectangles formed within the second image SI. That is to say, in Step 306, burden for the calibration unit 104 determining whether the each image point of the at least one image point of the all image points is located within a corresponding rectangle is less than burden for the calibration unit 104 determining whether the each image point of the at least one image point of the all image points is located within a corresponding triangle. Thus, in Step 306, the calibration unit 104 can find the rectangle including the each image point of at least one image point of the all image points without complicated operation according to the first rectification coordinates of the each image point of the at least one image point of the all image points.
  • In addition, in another embodiment of the present invention, the host 200 can repeatedly adjusts positions of feature points of the programmable target calibration pattern 180 displayed on the display screen 190 until feature points of the second image SI are located on corresponding predetermined positions (e.g. as shown in FIG. 8, after the positions of the feature points of the programmable target calibration pattern 180 are repeatedly adjusted, the feature points of the second image SI are all located on grids (that is, the feature points of the second image SI are all located on corresponding predetermined positions)). Because the feature points of the second image SI are located on the corresponding predetermined positions, the calibration unit 104 does also not need the memory unit 1042 with high capacity to store all information corresponding to the positions of the plurality of feature points within the second image SI, and in Step 306, the calibration unit 104 can find the rectangle including the each image point of at least one image point of the all image points easily according to the first rectification coordinates of the each image point of the at least one image point of the all image points and all information corresponding to the positions of the plurality of feature points within the second image SI.
  • To sum up, the image capture device and the calibration method first utilize the calibration unit to execute the global calibration operation on the original coordinates of the all image points of the image captured by the image capture unit to generate the first rectification coordinates of the all image points of the image, and then utilize the calibration unit to find the rectification equation corresponding to the geometric graph including the each image point of the at least one image point of the all image points of the image according to the first rectification coordinates of the each image point of the at least one image point of the all image points of the image to rectify the first rectification coordinates of the each image point of at least one image point of the all image points of the image to the second rectification coordinates of the each image point of at least one image point of the all image points of the image. Because the rectification equation corresponding to the geometric graph including the each image point of the at least one image point of the all image points is only applied to the geometric graph including the each image point of the at least one image point of the all image points, the present invention can boost accuracy of the second rectification coordinates of the each image point of the at least one image point of the all image points through the rectification equation corresponding to the geometric graph including the each image point of the at least one image point of the all image points.
  • Those skilled in the art will readily observe that numerous modifications and alterations of the device and method may be made while retaining the teachings of the invention. Accordingly, the above disclosure should be construed as limited only by the metes and bounds of the appended claims.

Claims (16)

1. A calibration method of an image capture device, wherein
the image capture device comprises at least one image capture unit and a calibration unit, the calibration method comprising:
capturing a first image by an image capture unit of the at least one image capture unit;
executing a global calibration operation on original coordinates of all image points of the first image by the calibration unit to generate first rectification coordinates of the all image points of the first image;
finding a geometric graph comprising each image point of at least one image point of the all image points according to first rectification coordinates of the each image point of the at least one image point of the all image points by the calibration unit; and
rectifying the first rectification coordinates of the each image point of the at least one image point of the all image points to second rectification coordinates of the each image point of the at least one image point of the all image points according to a rectification equation corresponding to the geometric graph by the calibration unit.
2. The calibration method of claim 1, wherein the geometric graph is a triangle or a rectangle.
3. The calibration method of claim 1, wherein the each image point of the at least one image point of the all image points corresponds to a pixel of the image capture unit.
4. The calibration method of claim 1, further comprising:
unit generating a second image comprising a calibration pattern by the image capture unit, wherein the calibration pattern comprises a plurality of feature points;
dividing the calibration pattern of the second image into a plurality of geometric graphs according to the plurality of feature points of the calibration pattern of the second image by the calibration unit; and
determining a rectification equation corresponding to each geometric graph of the plurality of geometric graphs according to coordinates of feature points comprised in a target geometric graph corresponding to the each geometric graph of the plurality of geometric graphs and coordinates of feature points comprised in the each geometric graph by the calibration unit, wherein the target geometric graph is comprised in a target calibration pattern.
5. The calibration method of claim 4, wherein the rectification equation corresponding to the each geometric graph is stored in a memory unit of the calibration unit.
6. The calibration method of claim 4, wherein the calibration pattern corresponds to a programmable target calibration pattern displayed on a display screen, and a host electrically connected to the display screen and the image capture device adjusts positions of a plurality of feature points of the programmable target calibration pattern displayed on the display screen to make the plurality of geometric graphs be a plurality of rectangles.
7. The calibration method of claim 4, wherein the calibration pattern corresponds to a programmable target calibration pattern displayed on a display screen, and a host electrically connected to the display screen and the image capture device adjusts positions of a plurality of feature points of the programmable target calibration pattern displayed on the display screen to make the plurality of feature points of the calibration pattern be located on predetermined positions of the second image.
8. The calibration method of claim 4, wherein the calibration unit executes the global calibration operation on the original coordinates of the all image points of the first image to make first rectification coordinates of each image point of the all image points match corresponding coordinates of the target calibration pattern.
9. An image capture device with a calibration function, the image capture device comprising:
at least one image capture unit, wherein an image capture unit of the at least one image capture unit captures a first image; and
a calibration unit coupled to the at least one image capture unit for executing a global calibration operation on original coordinates of all image points of the first image to generate first rectification coordinates of the all image points of the first image, finding a geometric graph comprising each image point of at least one image point of the all image points according to first rectification coordinates of the each image point of the at least one image point of the all image points, and rectifying the first rectification coordinates of the each image point of the at least one image point of the all image points to second rectification coordinates of the each image point of the at least one image point of the all image points according to a rectification equation corresponding to the geometric graph.
10. The image capture device of claim 9, wherein the geometric graph is a triangle or a rectangle.
11. The image capture device of claim 9, wherein the each image point of the at least one image point of the all image points corresponds to a pixel of the image capture unit.
12. The image capture device of claim 9, wherein the image capture unit further generates a second image comprising a calibration pattern, wherein the calibration pattern comprises a plurality of feature points, the calibration unit further divides the calibration pattern of the second image into a plurality of geometric graphs according to the plurality of feature points of the calibration pattern of the second image, and determines a rectification equation corresponding to each geometric graph of the plurality of geometric graphs according to coordinates of feature points comprised in a target geometric graph corresponding to the each geometric graph of the plurality of geometric graphs and coordinates of feature points comprised in the each geometric graph, wherein the target geometric graph is comprised in a target calibration pattern.
13. The image capture device of claim 12, wherein the rectification equation corresponding to the each geometric graph is stored in a memory unit of the calibration unit.
14. The image capture device of claim 12, wherein the calibration pattern corresponds to a programmable target calibration pattern displayed on a display screen, and a host electrically connected to the display screen and the image capture device adjusts positions of a plurality of feature points of the programmable target calibration pattern displayed on the display screen to make the plurality of geometric graphs be a plurality of rectangles.
15. The image capture device of claim 12, wherein the calibration pattern corresponds to a programmable target calibration pattern displayed on a display screen, and a host electrically connected to the display screen and the image capture device adjusts positions of a plurality of feature points of the programmable target calibration pattern displayed on the display screen to make the plurality of feature points of the calibration pattern be located on predetermined positions of the second image.
16. The image capture device of claim 12, wherein the calibration unit executes the global calibration operation on the original coordinates of the all image points of the first image to make first rectification coordinates of each image point of the all image points match corresponding coordinates of the target calibration pattern.
US14/964,587 2015-08-24 2015-12-10 Image capture device with a calibration function and calibration method of an image capture device Active US9581439B1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
TW104127456A TWI584648B (en) 2015-08-24 2015-08-24 Image capture device with a calibration function and calibration method of an image capture device
TW104127456A 2015-08-24
TW104127456 2015-08-24

Publications (2)

Publication Number Publication Date
US9581439B1 US9581439B1 (en) 2017-02-28
US20170059313A1 true US20170059313A1 (en) 2017-03-02

Family

ID=58056767

Family Applications (1)

Application Number Title Priority Date Filing Date
US14/964,587 Active US9581439B1 (en) 2015-08-24 2015-12-10 Image capture device with a calibration function and calibration method of an image capture device

Country Status (3)

Country Link
US (1) US9581439B1 (en)
CN (1) CN106485648B (en)
TW (1) TWI584648B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI611684B (en) * 2017-03-10 2018-01-11 和碩聯合科技股份有限公司 Image calibration method, image calibration system and electronic device
US20190005607A1 (en) * 2015-09-01 2019-01-03 Nec Platforms, Ltd. Projection device, projection method and program storage medium

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108917639A (en) * 2018-05-15 2018-11-30 深圳奥比中光科技有限公司 Depth Imaging system and its temperature error bearing calibration

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100465995C (en) * 2001-06-12 2009-03-04 奥普提克斯晶硅有限公司 System and method for correcting keystone distortion
US8818132B2 (en) * 2010-11-29 2014-08-26 Microsoft Corporation Camera calibration with lens distortion from low-rank textures
KR101172629B1 (en) * 2011-01-04 2012-08-08 포항공과대학교 산학협력단 Method of processing image and apparatus for the same
TWI454999B (en) * 2011-11-21 2014-10-01 Wistron Corp An optical touch display, a calibration apparatus and a calibration method thereof
CN104463791A (en) * 2013-09-25 2015-03-25 北京环境特性研究所 Fisheye image correction method based on spherical model
CN104021543A (en) * 2014-05-04 2014-09-03 杨玉林 Lens distortion self-correction method based on planar chessboard template

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190005607A1 (en) * 2015-09-01 2019-01-03 Nec Platforms, Ltd. Projection device, projection method and program storage medium
US10572971B2 (en) * 2015-09-01 2020-02-25 Nec Platforms, Ltd. Projection device, projection method and program storage medium
TWI611684B (en) * 2017-03-10 2018-01-11 和碩聯合科技股份有限公司 Image calibration method, image calibration system and electronic device

Also Published As

Publication number Publication date
US9581439B1 (en) 2017-02-28
CN106485648B (en) 2019-10-18
TW201709719A (en) 2017-03-01
TWI584648B (en) 2017-05-21
CN106485648A (en) 2017-03-08

Similar Documents

Publication Publication Date Title
US10872439B2 (en) Method and device for verification
KR102277048B1 (en) Preview photo blurring method and device and storage medium
JP6351238B2 (en) Image processing apparatus, imaging apparatus, and distance correction method
US20170026592A1 (en) Automatic lens flare detection and correction for light-field images
US10134118B2 (en) Information processing apparatus and method of obtaining information about a projection surface on which a target is projected
TW201515433A (en) Image calibration system and calibration method of a stereo camera
US11606538B2 (en) Automatic keystone correction in a projection system
US10733705B2 (en) Information processing device, learning processing method, learning device, and object recognition device
KR102236222B1 (en) Method and apparatus of stitching for minimizing parallax using control points in overlapping region
US9781412B2 (en) Calibration methods for thick lens model
KR20130054868A (en) Geometric correction apparatus and method based on recursive bezier patch sub-division
US7936357B2 (en) Image display device, method of generating correction value of image display device, program for generating correction value of image display device, and recording medium recording program thereon
US10169891B2 (en) Producing three-dimensional representation based on images of a person
CN109636890B (en) Texture fusion method and device, electronic equipment, storage medium and product
CN110996083A (en) Trapezoidal correction method and device, electronic equipment and readable storage medium
US9554121B2 (en) 3D scanning apparatus and method using lighting based on smart phone
US11074742B2 (en) Image processing apparatus, image processing method, and storage medium
US9581439B1 (en) Image capture device with a calibration function and calibration method of an image capture device
JP2014197243A (en) Pattern processor, pattern processing method and pattern processing program
JP2016024052A (en) Three-dimensional measurement system, three-dimensional measurement method and program
US20180220113A1 (en) Projection display system, information processing apparatus, information processing method, and storage medium therefor
CN107197222B (en) Method and device for generating correction information of projection equipment
JP2019220887A (en) Image processing system, image processing method, and program
JP6088864B2 (en) Calibration system and calibration method
CN108353143B (en) Projecting images on irregularly shaped display surfaces

Legal Events

Date Code Title Description
AS Assignment

Owner name: ETRON TECHNOLOGY, INC., TAIWAN

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:LEE, CHI-FENG;REEL/FRAME:037254/0300

Effective date: 20151203

AS Assignment

Owner name: EYS3D MICROELECTRONICS, CO., TAIWAN

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:ETRON TECHNOLOGY, INC.;REEL/FRAME:037746/0589

Effective date: 20160111

STCF Information on status: patent grant

Free format text: PATENTED CASE

FEPP Fee payment procedure

Free format text: ENTITY STATUS SET TO SMALL (ORIGINAL EVENT CODE: SMAL); ENTITY STATUS OF PATENT OWNER: SMALL ENTITY

MAFP Maintenance fee payment

Free format text: PAYMENT OF MAINTENANCE FEE, 4TH YR, SMALL ENTITY (ORIGINAL EVENT CODE: M2551); ENTITY STATUS OF PATENT OWNER: SMALL ENTITY

Year of fee payment: 4