使用Python轉換OpenCV triangulatePoints輸出以用於perspectiveTransform使用Python

Question

cv2.triangulatePoints的輸出被指定爲齊次座標中重構點的4xN陣列。

我想用這個輸出作爲輸入到cv2.perspectiveTransform的src數組。 src被指定爲一個雙通道或三通道浮點數組。

什麼是正確的方法來操作triangulatePoints輸出數組，所以它將適合perspectiveTransform？

Answer 1

幫我弄明白：

http://answers.opencv.org/question/252/cv2perspectivetransform-with-python/

這裏是我是如何實現它：

Tpoints1 = cv2.triangulatePoints(P_1, P_2, normRshp1, normRshp2)   
    #Grab the first three columns from the results to make a 3-N array 
    Tpt1 = np.array([Tpoints1[0],Tpoints1[1],Tpoints1[2]]) 
    #Reshape to make a N-3 array 
    Tpt1 = Tpt1.reshape(-1,3) 
    #Make an array from the array resulting in [1,N,3] 
    Tpt1 = np.array([Tpt1]) 
    #Reshape camera matrix to a 4x4 for input into perspectiveTransform 
    #we'll just add zeros and a one to the last row. 
    # from the TestTriangualtion function @, 
    #https://github.com/MasteringOpenCV/code/blob/master/Chapter4_StructureFromMotion/FindCameraMatrices.cpp 
    P_24x4 = resize(P_2,(4,4)) 
    P_24x4[3,0] = 0 
    P_24x4[3,1] = 0 
    P_24x4[3,2] = 0 
    P_24x4[3,3] = 1 
    Tpoints1_projected = cv2.perspectiveTransform(Tpt1, P_24x4)