In laser beam position determination, various shapes of markers may be used to identify different beams. When matched filtering is used for identifying the markers, one is faced with the challenge of determining the appropriate filter to use in the presence of distortions and marker size variability. If the incorrect filter is used, it will result in significant position uncertainty. Thus in the very first step of position detection one has to come up with an automated process to select the right template to use. The automated template identification method proposed here is based on a two-step approach. In the …
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In laser beam position determination, various shapes of markers may be used to identify different beams. When matched filtering is used for identifying the markers, one is faced with the challenge of determining the appropriate filter to use in the presence of distortions and marker size variability. If the incorrect filter is used, it will result in significant position uncertainty. Thus in the very first step of position detection one has to come up with an automated process to select the right template to use. The automated template identification method proposed here is based on a two-step approach. In the first step an approximate type of the object is determined. Then the filter is chosen based on the best size of the specific type. After the appropriate filter is chosen, the correlation peak position is used to identify the beam position. Real world examples of the application of this technique from the National Ignition Facility (NIF) at Lawrence Livermore National Laboratory are presented.
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Awwal, A. S.Automatic Identification of the Templates in Matched Filtering,
article,
September 29, 2004;
Livermore, California.
(https://digital.library.unt.edu/ark:/67531/metadc1412310/:
accessed January 18, 2026),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.