Next‐generation osteometric sorting: Using 3D shape, elliptical Fourier analysis, and Hausdorff distance to optimize osteological pair‐matching

摘要: Determining which bilateral bones belong to the same person based on shape and size similarity is called pair-matching it instrumental for sorting commingled skeletons. To date, has popularly been accomplished by visual inspection and/or linear caliper measurements; however, attention turning increasingly computational analysis. In this paper, we investigate a fast three-dimensional (3D) computerized shape-analysis method whole-bone using test sample of 14 individuals (23 femora, 26 humeri, tibiae). Specifically, aims find pairs using, as signature criterion, single 3D outline that snakes around each bone's perimeter described elliptical Fourier analysis function. This permits substantial 3D-point-cloud data reduction, is, 0.02% starting c.500,000 point cloud or just 100 points, while preserving key information. The mean Hausdorff distance (Hd) was applied measure between mirrored right-side every left-side in pairwise fashion (132, 168 169 comparisons, respectively). Both thresholds lowest Hd were investigated pair-match criteria, with producing best performance results searches jointly utilizing right-left left-right directions comparison: true positive rates 1.00 (10/10), (12/12), 0.92 (11/12) tibiae, respectively. time calculate 469 comparisons stock-standard Intel® Core™ i7-4650U CPU @ 1.70 GHz 5 s. short processing makes viable real-world application.