Kristin Bohl

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This paper describes a Reconfigurable Array for Machine Vision Inspection (RAMVI) that is able to produce spatially-accurate images combining information obtained from several cameras. Automatic camera calibration is essential for minimizing the changeover time required to reconfigure the array. This paper describes an automatic calibration method that uses(More)
The pros and cons of an institutionalized fact-finding body 168 * Ms. Bohl earned her J.D. cum laude from the University of Wisconsin-Madison in 2006 and earned an LL.M. with distinction from Georgetown University Law Center in 2009. During law school, the Wisconsin International Law Journal awarded Ms. Bohl the Mary Kelly Quackenbush award for best student(More)
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