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使用三相机摄影测量法进行面部正畸测量的自动地标提取。

Automated landmark extraction for orthodontic measurement of faces using the 3-camera photogrammetry methodology.

作者信息

Deli Roberto, Di Gioia Eliana, Galantucci Luigi Maria, Percoco Gianluca

机构信息

Orthodontic Specialization, Università Cattolica del Sacro Cuore di Roma, Rome, Italy.

出版信息

J Craniofac Surg. 2010 Jan;21(1):87-93. doi: 10.1097/SCS.0b013e3181c3ba74.

Abstract

OBJECTIVES

To set up a three-dimensional photogrammetric scanning system for precise landmark measurements, without any physical contact, using a low-cost and noninvasive digital photogrammetric solution, for supporting several necessity in clinical orthodontics and/or surgery diagnosis.

MATERIALS AND METHODS

Thirty coded targets were directly applied onto the subject's face on the soft tissue landmarks, and then, 3 simultaneous photos were acquired using photogrammetry, at room light conditions. For comparison, a dummy head was digitized both with a photogrammetric technique and with the laser scanner Minolta Vivid 910i (Konica Minolta, Tokyo, Japan).

RESULTS

The precise measurement of the landmarks is ranged between 0.017 and 0.029 mm. The system automatically measures spatial position of face landmarks, from which distances and angles can be obtained. The facial measurements were compared with those done using laser scanning and manual caliper. The adopted method gives higher precision than the others (0.022-mm mean value on points and 0.038-mm mean value on linear distances on a dummy head), is simple, and can be used easily as a standard routine.

CONCLUSIONS

The study demonstrated the validity of photogrammetry for accurate digitization of human face landmarks. This research points out the potential of this low-cost photogrammetry approach for medical digitization.

摘要

目的

建立一种三维摄影测量系统,用于精确的标志点测量,无需任何身体接触,采用低成本且无创的数字摄影测量解决方案,以支持临床正畸和/或手术诊断中的多种需求。

材料与方法

将30个编码目标直接应用于受试者面部的软组织标志点上,然后在室内光线条件下使用摄影测量法获取3张同步照片。为作比较,使用摄影测量技术和激光扫描仪Minolta Vivid 910i(日本东京柯尼卡美能达公司)对一个仿真头进行数字化处理。

结果

标志点的精确测量范围在0.017至0.029毫米之间。该系统可自动测量面部标志点的空间位置,由此可获取距离和角度。将面部测量结果与使用激光扫描和手动卡尺测量的结果进行比较。所采用的方法比其他方法具有更高的精度(在仿真头上,点的平均值为0.022毫米,线性距离的平均值为0.038毫米),操作简单,且可轻松用作标准常规方法。

结论

该研究证明了摄影测量法在人脸标志点精确数字化方面的有效性。本研究指出了这种低成本摄影测量方法在医学数字化方面的潜力。

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