Lx. Li et Jh. Duncan, 3-D TRANSLATIONAL MOTION AND STRUCTURE FROM BINOCULAR IMAGE FLOWS, IEEE transactions on pattern analysis and machine intelligence, 15(7), 1993, pp. 657-667
In this paper, image flow fields from parallel stereo cameras are anal
yzed to determine the relative 3-D translational motion of the camera
platform with respect to objects in view and to establish stereo corre
spondence of features in the left and right images. A two-step procedu
re is suggested. In the first step, translational motion parameters ar
e determined from linear equations whose coefficients consist of the s
ums of measured quantities in the two images. Separate equations are d
eveloped for cases when measurements of either the full optical flow o
r the normal flow are available. This computation does not require fea
ture-to-feature correspondence. In addition, no assumption is made abo
ut the surfaces being viewed. In the second step of the calculation, w
ith the knowledge of the estimated translational motion parameters, th
e binocular flow information is used to find features in one image tha
t correspond to given features in the other image. Experimental result
s with synthetic and laboratory images indicate that the method gives
accurate results even in the presence of noise.