M.A. Snyder. "Uncertainty analysis of image measurements," Proc. DARPA Image Understanding Workshop, Los Angeles, pp. 681-693, 1987.

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Kalman Filter-based Algorithms for Estimating Depth from.. - Matthies, Kanade (1989)   (112 citations)  (Correct)

....A closed form expression for this matrix is easier to obtain from the batch method suggested by equation (16) than from the Kalman filter formulation and yields an equivalent result. Taking the constant camera translation to be T, I for simplicity, equation (16) expands to 0 01 Ix0 d 1 = Hu [26] Recall that i are the edge positions in each frame, x0 is the best fit edge position in the first frame, and d is the best fit displacement or flow between frames. Since we assume that the measured edge positions i are independent with equal variance ae , we find that axd o2d 2 [27] 0 e t ....

M.A. Snyder. "Uncertainty analysis of image measurements," Proc. DARPA Image Understanding Workshop, Los Angeles, pp. 681-693, 1987.

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