v.kahn%UCLA-LOCUS@sri-unix.UUCP (11/14/83)
From: Philip Kahn <v.kahn@UCLA-LOCUS>
This letter to AI-LIST is a request for references from all
of you out there that are heavily into spatial pattern recognition.
First let me explain my approach, then I'll hit you with my
request. Optical flow and linear contrast edges have been getting a
lot of attention recently. Utilizing this approach, I view a line
as an ordered set of [image] elements; that is, a line is comprised of a
finite ordered set of elements. Each element of a line is treated
as a directed line (a vector with direction and magnitude).
Here's what I am trying to define: with such a definition
of a line, it should be possible to create mappings between lines
to form fairly abstract ideas of similarity between lines. Since
objects are viewed as a particular arrangement of lines, this analysis
would suffice in identifying objects as being alike. Some examples,
the two lines possessing the most similarities (i.e.,
MAX ( LINE1 .intersection. LINE2 ) ) may be one criterion of comparison.
I'm looking for any references you might have on this area.
This INCLUDES:
1) physiology/biology/neuroanatomy articals dealing with
functional mappings from the ganglion to any level of
cortical processing.
2) fuzzy set theory. This includes ordered set theory and
any and all applications of set theory to pattern recognition.
3) any other pertinent references
I would greatly appreciate any references you might provide.
After a week or two, I will compile the references and put them
on the AI-LIST so that we all can use them.
Viva la effort!
Philip Kahn
[My correspondence with Philip indicates that he is already familiar
with much of the recent literature on optic flow. He has found little,
however, on the subject of pattern recognition in vector fields. Can
anyone help? -- KIL]