Pwm. Tsang, A GENETIC ALGORITHM FOR AFFINE INVARIANT OBJECT SHAPE-RECOGNITION, Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering, 211(5), 1997, pp. 385-392
In this paper, a novel technique for matching images of object shapes
which have been subject to affine transformation caused by variations
in the camera position is reported. The method is based on the genetic
algorithm, and is more efficient and reliable than conventional appro
aches that rely on corresponding dominant point pairs to determine the
best alignment between object boundaries. Experimental results are pr
esented to demonstrate the feasibility of the approach and its capabil
ity in identifying object shapes that had been distorted with heavy no
ise contamination.