Air Force Colors 1926 - 1942 Vol. I by Dana Bell

By Dana Bell

Ninety six pages, examine people army plane colour schemes from 1926 to 1942, bw and colour illustrations

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8 Binary images from the SIM for the alignment between views (a) and (b). 10), respectively; (g) and (h) show the SIM of the alignments in (c) and (d), respectively with (f) serving as A in the SIM calculation. 8(a). These overlap measurements were defined based on the best SIM values obtained for this view pair. 90%. In this example the MSE was computed for all corresponding points between views without constraints. 8(d) show correct alignments and similar MSE values. 8(c). 8(b). By analyzing local areas in the surfaces of different correct alignments we see that the SIM better distributes the registration error over the entire alignment.

8(d) show correct alignments and similar MSE values. 8(c). 8(b). By analyzing local areas in the surfaces of different correct alignments we see that the SIM better distributes the registration error over the entire alignment. 10. 8. 9(b). If we analyze the number of interpenetrating points and their corresponding point distances within a very low distance range, we see that our approach has a higher fraction of interpenetrating points compared to the ICP results. 10(a) with the same analysis. 10(a) because in some regions of the alignment the surfaces are parallel.

Brunnstrom and Stoddart [Brunnstrom and Stoddart (1996)] proposed a simple method for free-form surface matching combining GA and ICP approaches. First, an initial alignment is estimated by a traditional GA followed by ICP refinement to obtain a final registration. Their results show that, in some cases, this method becomes stuck in a local optimum; the authors concede the need for some modifications to their approach. Recently, an alternative range image registration algorithm based on a GA was proposed [Robertson and Fisher (2002)] using a parallel evolutionary registration approach.

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