represent coordinates in 2 dimensions with 3-vector
Add a 3rd coordinate to every 2D point
(x, y, w)-> (x/w, y/w)
(x, y, 0) => infinity
p’ = Mp
Projective Transformations
– combination of affine transformations and projective warps
Properties
– origin does not necessarily map to origin
– lines map to lines
import cv2
import numpy as numpy
img = cv2.imread('tech.png')
height, width = img.shape[:2]
cv2.imshow("Original", img)
M_trans = np.float32(
[[1, 0, 100],
[0, 1, 50]])
print "Translation matrix:"
print M_trans
img_trans = cv2.warpAffine(img, M_trans, (width, height))
cv2.imshow("translation", img_trans)
