Oculofacial surgical planning: True-to-scale 3D feature quantification using multicamera network

K. Vupparaboina, R. R. Tamboli, M. S. Reddy, A. Richhariya, M. Naik, S. Jana
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引用次数: 3

Abstract

3D surface imaging can potentially play a crucial role in oculofacial surgeries. Associated 3D measurements can facilitate surgical planning and postoperative assessment. Further, lifelike 3D visualization of human face is helpful as a communication/training tool for medical professionals/trainees. In this backdrop, we present a 3D surface imaging and measurement platform that is both flexible and accurate. Specifically, our systems consists of a stereo camera and two monocular cameras, which can be individually positioned and focused to obtain crisp images. From those images, true-to-scale reconstruction was achieved with accuracy levels between 97.46% and 99.83% in various oculofacial measurements. Significantly, such levels of accuracy are comparable to those achieved by inflexible legacy systems. Additionally, our system, consisting of discrete cameras, requires minimal training to operate, and hence could find use in telemedicine.
眼面部手术计划:使用多摄像头网络进行真实的三维特征量化
三维表面成像可能在眼面部手术中发挥至关重要的作用。相关的3D测量有助于手术计划和术后评估。此外,逼真的人脸三维可视化是医疗专业人员/培训人员的交流/培训工具。在此背景下,我们提出了一个既灵活又准确的三维表面成像和测量平台。具体来说,我们的系统由一个立体摄像机和两个单目摄像机组成,它们可以单独定位和聚焦以获得清晰的图像。根据这些图像,在各种眼面部测量中实现了真实尺度重建,准确率在97.46%至99.83%之间。值得注意的是,这样的精度水平与不灵活的遗留系统所达到的精度相当。此外,我们的系统由分立的摄像机组成,只需最少的训练就可以操作,因此可以用于远程医疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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