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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