用3D扫描与2D照片自动对齐,实现牙齿形态的客观比对。
Automatic dental superimposition of 3D intraorals and 2D photographs for human identification
- 通过3D-2D图像配准,自动还原拍摄视角并对比牙齿形态
- 在142人、2万次比对中平均排名仅1.6,远超传统方法
- 适合法医鉴定、无病历场景下的人体识别,结果可可视化
牙齿比对是与指纹和DNA同等级的重要身份识别手段。其关键步骤——形态比对——耗时且常因缺乏生前医疗记录而受阻,尤其在边境移民死亡或无全民医保的国家。社交媒体上可见牙齿的照片为比对提供了新可能。然而现有方法存在视角失真建模不足、缺乏客观量化评估等缺陷。本文提出一种3D(死后扫描)与2D(生前照片)结合的方法,利用计算机视觉与优化技术重建生前影像,实现形态比对。开发了两种自动方案:一是基于配对地标,二是通过牙齿区域分割估计相机参数。两者在142个样本、共20,164次交叉比对中,平均排名分别达1.6和1.5,显著优于现有自动牙科图表比对方法。该方法提供自动、客观、可量化的形态匹配评分,且可通过叠加图像直观分析。
原文摘要 · Abstract (English)
Dental comparison is considered a primary identification method, at the level of fingerprints and DNA profiling. One crucial but time-consuming step of this method is the morphological comparison. One of the main challenges to apply this method is the lack of ante-mortem medical records, specially on scenarios such as migrant death at the border and/or in countries where there is no universal healthcare. The availability of photos on social media where teeth are visible has led many odontologists to consider morphological comparison using them. However, state-of-the-art proposals have significant limitations, including the lack of proper modeling of perspective distortion and the absence of objective approaches that quantify morphological differences. Our proposal involves a 3D (post-mortem scan) - 2D (ante-mortem photos) approach. Using computer vision and optimization techniques, we replicate the ante-mortem image with the 3D model to perform the morphological comparison. Two automatic approaches have been developed: i) using paired landmarks and ii) using a segmentation of the teeth region to estimate camera parameters. Both are capable of obtaining very promising results over 20,164 cross comparisons from 142 samples, obtaining mean ranking values of 1.6 and 1.5, respectively. These results clearly outperform filtering capabilities of automatic dental chart comparison approaches, while providing an automatic, objective and quantitative score of the morphological correspondence, easily to interpret and analyze by visualizing superimposed images.
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