Abstract
In this paper, the matching of center lines from stereo tree images is con-
sidered, and formulated as a combinatorial optimization problem. Marr and Poggio
showed that the Hopfield network, a kind of artificial neural network model, can be
applied to reconstruct 3D structure from random dot stereogram. Their method con-
sists of the following five steps; 1.form matching candidates, 2.allocate candidates on
units of network, 3.determine connection weights among units from the characteristics
of images, 4.converge to a stable state and 5.reconstruct 3D structure from the state
of network. This paper proposes a new formation of connection weights in the stereo
line matching algorithm.
