Re: Making algorithms at least 3D, preferably nD
On Fri, Apr 26, 2013 at 5:23 PM, Juan Nunez-Iglesias
On Fri, Apr 26, 2013 at 2:36 PM, Stéfan van der Walt
wrote: At any rate, I've slightly softened my stance. The reason is that all these neighbourhood models implicitly assume that the data are isotropic, ie same resolution along each dimension. This is possible, even probable, until 3 dimensions, and essentially impossible in 4D or higher. So while it's cute and nice to make it nD, realistically, 3D is good enough for most purposes. And you can't argue that it's much harder to do 3D than 2D. =)
Sorry for throwing you under the bus, Juan :) But I think the tools you mention can be very useful, and tie in nicely also with the idea of graph-based operators for superpixels. Perhaps we should implement such a spatial access library in _shared, and then write a short guide in the documentation on how to use it? Stéfan
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Stéfan van der Walt