3d Reconstruction Algorithm Supporting tagline
Reference
http://docs.opencv.org/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.html
OpenCV
Paper
α=0
β=90
get new image from the camera (I1)
undistort the (I1) image (using intrinsic parameters of camera)
detect feature points on the image
store image coordinates of feature points on memory (L)
for step=1 to 400 ; step=step+1
get new image from the camera (I2)
undistort the I2 image
track feature points on I1 and I2 using optical flow
store new image coordinates of feature points on memory (R)
if (step mod 10 = 0)
3d reconstruction using stored image coordiantes (L and R)
(See Section 3.2)
reset feature points (clear all feature points)
detect feature points on the image
(new feature points are detected on the same image)
store feature point image coordinates on memory (L)
end if
rotate z-motor one step forward
α=step*1.8 (orα=α+1.8)
if (step mod 8 =0 )
rotate y-motor one step forward
β = β −1.8
end if
end for
Published
26 February 2013