Among other contributions to the field in the past four years, 
CAL has developed 
an input preprocessor that will locate candidate patterns 
on the object scene and rotate these patterns to a standard position prior 
to digitalization and pattern recognition. Other published papers" relate 
to the evaluation of property formation techniques for pattern recognition, 
property learning in pattern recognition systems, and shape detection using 
incoherent illumination. 
Other organizations that have been active in the systems approach 
to automation are the Aeronutronics Division of Philco Corporation, Newport 
* 
Beach, California, and the Center for Research Inc. located at the University 
* 
of Kansas, Lawrence, Kansas. 
Automation of Photo Interpretation Equipment 
  
The previous part of this report restricted itself to the discussion 
of systems and systems approaches to some of the decision making aspects of 
photo interpretation that would normally be accomplished by the interpreter. 
This is evidenced, certainly, by the titles of published work and the nature 
of the research. Pattern recognition, for example, is quite obviously a 
decision function. This part of the report, however, will restrict itself to 
the automation of perhaps better known techniques and equipment and the 
application of developed and proven automation to the problems and time con- 
suming aspects of photo interpretation. Among developed equipment is an 
optical stereoscope with automatic image registration, an experimental 
double image enhancement viewer, and a superimposition viewer. 
(9) "A Real-Time Input Preprocesser for a Pattern Recognition Computer", 
R. M. Stock & J. J. Deener, (CAL), IEEE Computer Conference, Chicago, 
Illinois, 6 Sept. 1907. 
See Additional Reading at end of paper. 
7