diff --git a/README.md b/README.md
index 50da8c4..3dfccb2 100644
--- a/README.md
+++ b/README.md
@@ -10,7 +10,7 @@
 
 *3D points are called **object points** and 2D image points are called **image points.***
 
-### Note that in openCV [`cv.calibrateCamera()`](https://docs.opencv.org/4.x/d9/d0c/group__calib3d.html#ga3207604e4b1a1758aa66acb6ed5aa65d) expects the real world coordinates of the checker board pattern intersect points with respect to a known coordinate system! They have generated those coordinates simply by a `np.mgrid()` using the number of intersecting points in horizontal and vertical direction in our checkerboard. This coordinate system must be considered when we map 2D image points from image to the real world and therefore shoul be a fixed one.
+### Note that in openCV [`cv.calibrateCamera()`](https://docs.opencv.org/4.x/d9/d0c/group__calib3d.html#ga3207604e4b1a1758aa66acb6ed5aa65d) expects the real world coordinates of the checker board pattern intersect points with respect to a known coordinate system! This coordinate system must be considered when we map 2D image points from image to the real world and therefore shoul be a fixed and known coordinate system.
 
 ## *Note*
 * **Image size:** 640 x 480 pixels<br>
@@ -68,61 +68,6 @@ Second Row
  [ 30. 210.   0.]
  [ 30. 240.   0.]
 
-Third Row
- [ 60.   0.   0.]
- [ 60.  30.   0.]
- [ 60.  60.   0.]
- [ 60.  90.   0.]
- [ 60. 120.   0.]
- [ 60. 150.   0.]
- [ 60. 180.   0.]
- [ 60. 210.   0.]
- [ 60. 240.   0.]
-
-...
- [ 90.   0.   0.]
- [ 90.  30.   0.]
- [ 90.  60.   0.]
- [ 90.  90.   0.]
- [ 90. 120.   0.]
- [ 90. 150.   0.]
- [ 90. 180.   0.]
- [ 90. 210.   0.]
- [ 90. 240.   0.]
-
-...
- [120.   0.   0.]
- [120.  30.   0.]
- [120.  60.   0.]
- [120.  90.   0.]
- [120. 120.   0.]
- [120. 150.   0.]
- [120. 180.   0.]
- [120. 210.   0.]
- [120. 240.   0.]
-
-...
- [150.   0.   0.]
- [150.  30.   0.]
- [150.  60.   0.]
- [150.  90.   0.]
- [150. 120.   0.]
- [150. 150.   0.]
- [150. 180.   0.]
- [150. 210.   0.]
- [150. 240.   0.]
-
-...
- [180.   0.   0.]
- [180.  30.   0.]
- [180.  60.   0.]
- [180.  90.   0.]
- [180. 120.   0.]
- [180. 150.   0.]
- [180. 180.   0.]
- [180. 210.   0.]
- [180. 240.   0.]]
-
 ```
 
 
@@ -170,62 +115,6 @@ Second Row
 [ 432.02014, 132.50407 ]
 [ 469.7123, 133.17534 ]
 
-Third row
-[ 169.62589, 163.48984 ]
-[ 207.46173, 164.22824 ]
-[ 244.51976, 164.52423 ]
-[ 281.93274, 164.9935 ]
-[ 319.34958, 166.34975 ]
-[ 356.41205, 167.28563 ]
-[ 394.31174, 168.02405 ]
-[ 431.93896, 168.6989 ]
-[ 470.23483, 169.49594 ]
-
-...
-[ 167.73346, 200.23148 ]
-[ 205.58194, 200.75142 ]
-[ 243.1283, 201.36891 ]
-[ 280.80374, 201.77411 ]
-[ 318.48804, 203.30768 ]
-[ 355.8776, 204.15332 ]
-[ 393.94986, 204.82649 ]
-[ 432.0001, 205.57896 ]
-[ 470.39276, 206.30649 ]
-
-...
-[ 165.46951, 237.35175 ]
-[ 203.698, 238.09941 ]
-[ 241.50809, 238.54573 ]
-[ 279.67838, 239.42378 ]
-[ 317.6305, 240.6864 ]
-[ 355.47403, 241.80818 ]
-[ 393.743, 242.63362 ]
-[ 432.0229, 243.2718 ]
-[ 470.79486, 243.9435 ]
-
-...
-[ 163.45647, 275.31726 ]
-[ 201.74608, 276.00104 ]
-[ 240.13731, 276.88266 ]
-[ 278.50775, 277.63733 ]
-[ 316.65363, 278.87833 ]
-[ 355.05225, 279.8575 ]
-[ 393.56052, 280.53806 ]
-[ 432.25452, 281.38232 ]
-[ 471.35577, 281.9048 ]
-
-...
-[ 161.2164, 313.73767 ]
-[ 200.229, 314.60574 ]
-[ 238.31091, 315.55875 ]
-[ 277.1585, 316.4851 ]
-[ 315.9854, 317.74756 ]
-[ 354.43387, 318.6201 ]
-[ 393.47363, 319.52905 ]
-[ 432.31772, 320.20914 ]
-[ 471.76373, 320.8632 ]
-]
-
 ```
 
 **Output vector of rotation vectors ([Rodrigues](https://docs.opencv.org/4.x/d9/d0c/group__calib3d.html#ga61585db663d9da06b68e70cfbf6a1eac) ) estimated for each pattern view 
@@ -327,4 +216,4 @@ Approx: world coord:  [ 29.83 239.94   0.  ]
 
 # Reference Paper 
 
-Siswantoro J., Prabuwono A.S., Abdullah A. (2013) ***Real World Coordinate from Image Coordinate Using Single Calibrated Camera Based on Analytic Geometry***. In: Noah S.A. et al. (eds) Soft Computing Applications and Intelligent Systems. M-CAIT 2013. Communications in Computer and Information Science, vol 378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40567-9_1
\ No newline at end of file
+Siswantoro J., Prabuwono A.S., Abdullah A. (2013) ***Real World Coordinate from Image Coordinate Using Single Calibrated Camera Based on Analytic Geometry***. In: Noah S.A. et al. (eds) Soft Computing Applications and Intelligent Systems. M-CAIT 2013. Communications in Computer and Information Science, vol 378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40567-9_1