Abstract:Abstract. We propose a new approach to global optimization algorithm based on controlled random search techniques for rotational alignment of spherical surfaces with associated scalar values. To reduce the distortion in correspondence and increase efficiency, the spherical surface is first re-sampled using a geodesic sphere. The rotation in space is represented using the modified Rodrigues parameters.Correspondence between two spherical surfaces is implemented in the parametric domain. We applied the methods t… Show more
“…In electron microscopy the goal is to match 3D density maps. In sonar systems we obtain a scalar function of directions and frequencies, which is often defined on a sphere [24].…”
A numerical algorithm to generate a set of optimal 3D rotations is
presented. A list is created, with each new rotation found in a way to
minimise the gap in angular coverage for a global angular search or a
local angular refinement problem. Efficiency can be gained by combining
rotations in groups when fitting molecular density representations to an
experimental electron density map in cryo electron microscopy, and this
algorithm also works for those combined rotations. Lists of optimal
rotations written as quaternions and code to generate those lists are
provided. The maximum gap in the angular coverage decays as a
reciprocal-cubic function of the number of rotations.
“…In electron microscopy the goal is to match 3D density maps. In sonar systems we obtain a scalar function of directions and frequencies, which is often defined on a sphere [24].…”
A numerical algorithm to generate a set of optimal 3D rotations is
presented. A list is created, with each new rotation found in a way to
minimise the gap in angular coverage for a global angular search or a
local angular refinement problem. Efficiency can be gained by combining
rotations in groups when fitting molecular density representations to an
experimental electron density map in cryo electron microscopy, and this
algorithm also works for those combined rotations. Lists of optimal
rotations written as quaternions and code to generate those lists are
provided. The maximum gap in the angular coverage decays as a
reciprocal-cubic function of the number of rotations.
A quantitative analysis of the interspecific variability in bat biosonar beampatterns has been carried out on 267 numerical predictions of emission and reception beampatterns from 98 different species. Since these beampatterns did not share a common orientation, an alignment was necessary to analyze the variability in the shape of the patterns. To achieve this, beampatterns were aligned using a pairwise optimization framework based on a rotation-dependent cost function. The sum of the p-norms between beam-gain functions across frequency served as a figure of merit. For a representative subset of the data, it was found that all pairwise beampattern alignments resulted in a unique global minimum. This minimum was found to be contained in a subset of all possible beampattern rotations that could be predicted by the overall beam orientation. Following alignment, the beampatterns were decomposed into principal components. The average beampattern consisted of a symmetric, positionally static single lobe that narrows and became progressively asymmetric with increasing frequency. The first three "eigenbeams" controlled the beam width of the beampattern across frequency while higher rank eigenbeams account for symmetry and lobe motion. Reception and emission beampatterns could be distinguished (85% correct classification) based on the first 14 eigenbeams.
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