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Calculation of bloodstain impact angles using an Active Bloodstain Shape Model

机译:使用主动血迹形状模型计算血迹撞击角

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Objectives: Traditional Bloodstain Pattern Analysis (BPA) estimates impact angles for bloodstain spatters by employing ellipses and an inverse sine. This approach is based upon a simplification of the stain formation process, and ignores the physical properties of blood, and its intricate interactions with the target surface. This research presents a data-driven approach, starting from experimental bloodstain spatters. No assumptions about the shape of stains or about the relation between the shape and their impact angle are made a priori. Materials and methods: Experimental bloodstain data is gathered, after which shape variations are extracted by employing an Active Shape Model. A non-linear regression is then used to explain the relation between stain shape and impact angle. Results: Experimental results show that traditional width-length ratios may deviate from the assumed inverse sine. The proposed approach, on the other hand, closely follows the experimental data through its regression. Additional experiments have shown an increased accuracy on impact angle estimates for the proposed approach when compared to automatic ellipse fitting. Conclusion: The proposed method performs better than automatic ellipse fitting. The higher accuracy and faster and more objective analysis suggest that the developed model is applicable in real-life scenarios, and can provide a valuable update to Bloodstain Pattern Analysis.
机译:目标:传统的血迹图样分析(BPA)通过使用椭圆和反正弦估计血迹飞溅的撞击角度。这种方法是基于简化污渍形成过程的,并且忽略了血液的物理特性及其与目标表面的复杂相互作用。这项研究提出了一种从实验血迹飞溅开始的数据驱动方法。没有先验地假设关于污渍的形状或形状与它们的冲击角之间的关系。材料和方法:收集实验性血迹数据,然后采用主动形状模型提取形状变化。然后使用非线性回归来解释污点形状和冲击角之间的关系。结果:实验结果表明,传统的宽长比可能会偏离假定的反正弦。另一方面,建议的方法通过回归密切关注实验数据。与自动椭圆拟合相比,其他实验已经显示出所提出方法的冲击角估计精度更高。结论:所提出的方法比自动椭圆拟合具有更好的性能。更高的准确性和更快,更客观的分析表明,所开发的模型适用于现实生活中的场景,并且可以为Bloodstain Pattern Analysis提供宝贵的更新。

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