Dias Paulo, Neves Luis, Santos Daniel, Coelho Catarina, Ferreira Maria Teresa, Santos Helder, Silva Samuel, Santos Beatriz Sousa
IEEE Comput Graph Appl. 2015 Nov-Dec;35(6):11-7. doi: 10.1109/MCG.2015.136.
Craniometric analysis plays an important role in anthropology studies and forensics. This paper presents CraMs, an application using a new craniometric approach based on 3D models of the skull. The main objective is to obtain, through a process supervised by anthropologists, the main points of interest used to compute craniometric measurements. The application aids this process by analyzing the skull geometry and automatically providing points of interest. The application also allows for semiautomatic point detection, where the user provides an initial guess that might be refined based on the curvature of the skull, as well as the manual selection of any other points of interest. Moreover, results comparing measurements obtained with CraMs and traditional craniometry methods on eight skulls suggest that the application provides comparable craniometric measurements and lower inter-observer variability. This approach offers advantages such as an easier access to skulls with no risk of bone damage and the possibility of defining new measurements based on morphology or other skull characteristics, which are not possible using traditional methods.
颅骨测量分析在人类学研究和法医学中发挥着重要作用。本文介绍了CraMs,这是一种基于颅骨三维模型采用新的颅骨测量方法的应用程序。其主要目标是通过人类学家监督的过程,获取用于计算颅骨测量值的主要兴趣点。该应用程序通过分析颅骨几何形状并自动提供兴趣点来辅助这一过程。该应用程序还允许半自动点检测,用户提供一个初始猜测值,可根据颅骨曲率进行优化,同时也允许手动选择任何其他兴趣点。此外,对八个颅骨使用CraMs和传统颅骨测量方法获得的测量结果进行比较,结果表明该应用程序提供了可比的颅骨测量值,且观察者间变异性更低。这种方法具有诸多优势,比如更容易获取颅骨且无骨质损伤风险,以及有可能基于形态学或其他颅骨特征定义新的测量值,而这是传统方法无法做到的。