PERF: Update Autoscoper to include PSO optimization

Refactor the Particle Swarm Optimization (PSO) implementation by introducing a
specialized Particle data structure alongside a particle collection.
This structure allows us to efficiently manage and track computed Normalized
Cross-Correlation (NCC) values for each particle. As a result, we now evaluate
each particle only once per iteration, as opposed to between 2 and 5 times in
the worst-case scenario.

This optimization has led to a remarkable reduction in per-frame execution time
on a typical workstation using the OpenCL back-end, dropping it from the range
of 9 to 18 seconds to a much-improved 3 to 6 seconds.

List of changes:

$ git shortlog 73eb359dc..4bdedd802 --no-merges
Anthony Lombardi (1):
      PERF: Introduce particle data structure for PSO

Co-authored-by: Anthony Lombardi <[email protected]>

SuperBuild/External_Autoscoper.cmake

@@ -31,7 +31,7 @@ if(NOT DEFINED ${proj}_DIR AND NOT ${SUPERBUILD_TOPLEVEL_PROJECT}_USE_SYSTEM_${p
 
   ExternalProject_SetIfNotDefined(
     Slicer_${proj}_GIT_TAG
-    "73eb359dcd70878c4b4c28471fd2684c08bd3014"
+    "4bdedd802034a1c341099d735010690105a106ad"
     QUIET
   )