Revision history [back]

I m using a stereo system and so i m trying to get world coordinates of some points. I can do it with specific calibration for each camera and then i calculate rotation matrix and translation vector. And finally i triangulate but i m not sure of the origin of the world coordinates.

As you can see on my figure, values correspond to depth value but they shoud be close of 400. So i suppose that the origin is the left camera that s why it variates...

A piece of my code with my projective arrays and triangulate function :

#C1 and C2 are the cameras matrix (left and rig)
#R_0 and T_0 are the transformation between cameras
#Coord1 and Coord2 are the correspondant coordinates of left and right respectively
P1 = np.dot(C1,np.hstack((np.identity(3),np.zeros((3,1))))) 

P2 =np.dot(C2,np.hstack(((R_0),T_0)))

for i in range(Coord1.shape[0])
    z = cv2.triangulatePoints(P1, P2, Coord1[i,],Coord2[i,])

Thanks for help ;)

I m using a stereo system and so i m trying to get world coordinates of some points. I can do it with specific calibration for each camera and then i calculate rotation matrix and translation vector. And finally i triangulate but i m not sure of the origin of the world coordinates.

As you can see on my figure, values correspond to depth value but they shoud be close of 400. 400 as it is flat. So i suppose that the origin is the left camera that s why it variates...

A piece of my code with my projective arrays and triangulate function :

#C1 and C2 are the cameras matrix (left and rig)
#R_0 and T_0 are the transformation between cameras
#Coord1 and Coord2 are the correspondant coordinates of left and right respectively
P1 = np.dot(C1,np.hstack((np.identity(3),np.zeros((3,1))))) 

P2 =np.dot(C2,np.hstack(((R_0),T_0)))

for i in range(Coord1.shape[0])
    z = cv2.triangulatePoints(P1, P2, Coord1[i,],Coord2[i,])

Thanks for help ;)

I m using a stereo system and so i m trying to get world coordinates of some points. I can do it with specific calibration for each camera and then i calculate rotation matrix and translation vector. And finally i triangulate but i m not sure of the origin of the world coordinates.

As you can see on my figure, values correspond to depth value but they shoud be close of 400 as it is flat. So i suppose that the origin is the left camera that s why it variates...

A piece of my code with my projective arrays and triangulate function :

#C1 and C2 are the cameras matrix (left and rig)
#R_0 and T_0 are the transformation between cameras
#Coord1 and Coord2 are the correspondant coordinates of left and right respectively
P1 = np.dot(C1,np.hstack((np.identity(3),np.zeros((3,1))))) 

P2 =np.dot(C2,np.hstack(((R_0),T_0)))

for i in range(Coord1.shape[0])
    z = cv2.triangulatePoints(P1, P2, Coord1[i,],Coord2[i,])

My cameras present an angle, the Z axis direction (direction of the depth) is not normal to my surface. And i want the depth from the baseline direction. So i have to rotate my points?

Thanks for help ;)