Victoria Hughes wrote:
http://scienceblogs.com/cognitivedaily/2009/06/were_shockingly_bad_at_noticin.php

In the comments is a nice point about perception, change, and location.
Reminded me of similar points brought up in the Ongoing Discussion here.
Thanks Tory, Very interesting.  

Being a certain flavor of curmudgeon, my response to their suggestion that "humans are shockingly bad at recognizing differences" is:

    Humans are shockingly good at ignoring certain types of differences.

We are just now embarking on a new endeavor:  Virtualization of Cultural and Historical Artifacts wherein we not only scan/digitize the 3D artifacts, but we also apply algorithmic analysis to the results with the intention of doing both... recognizing differences as difficult to see as these and recognizing the similarity in spite of the differences.

How do we propose to do this?  Feature extraction and Morphometric analysis (of the features).   What are our algorithms?  Only partially defined (machine learning in general), but eventually we hope to have an extension of those used in Genie Pro... ( http://www.geniepro.lanl.gov/ ) but in Morphospace rather than in (hyper)Spectral Imaging Space.

I'd be curious to hear of anyone else here working in morphometrics and morphospace analysis.

- Steve
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