Zancajo-Blazquez Sandra, Gonzalez-Aguilera Diego, Gonzalez-Jorge Higinio, Hernandez-Lopez David
Department of Cartographic and Land Engineering, University of Salamanca, Polytechnic School of Avila, Hornos Caleros, 50, 05003, Avila, Spain.
Department of Natural Resources and Environmental Engineering, University of Vigo, Vigo, Spain.
PLoS One. 2015 Mar 20;10(3):e0118719. doi: 10.1371/journal.pone.0118719. eCollection 2015.
This paper presents a new method based on 3D reconstruction from images that demonstrates the utility and integration of close-range photogrammetry and computer vision as an efficient alternative to modelling complex objects and scenarios of forensic infography. The results obtained confirm the validity of the method compared to other existing alternatives as it guarantees the following: (i) flexibility, permitting work with any type of camera (calibrated and non-calibrated, smartphone or tablet) and image (visible, infrared, thermal, etc.); (ii) automation, allowing the reconstruction of three-dimensional scenarios in the absence of manual intervention, and (iii) high quality results, sometimes providing higher resolution than modern laser scanning systems. As a result, each ocular inspection of a crime scene with any camera performed by the scientific police can be transformed into a scaled 3d model.
本文提出了一种基于图像三维重建的新方法，该方法展示了近景摄影测量和计算机视觉作为一种有效替代方法的实用性和集成性，可用于对复杂物体和法医信息图场景进行建模。与其他现有替代方法相比，所获得的结果证实了该方法的有效性，因为它保证了以下几点：（i）灵活性，允许使用任何类型的相机（校准和未校准的、智能手机或平板电脑）和图像（可见光、红外、热成像等）；（ii）自动化，无需人工干预即可重建三维场景；（iii）高质量结果，有时提供比现代激光扫描系统更高的分辨率。因此，科学警察使用任何相机对犯罪现场进行的每次目视检查都可以转化为一个按比例缩放的三维模型。
