首页> 外文期刊>International journal of oral and maxillofacial surgery >Towards building a photo-realistic virtual human face for craniomaxillofacial diagnosis and treatment planning.
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Towards building a photo-realistic virtual human face for craniomaxillofacial diagnosis and treatment planning.

机译:致力于为颅颌面诊断和治疗计划建立一张具有真实感的虚拟人脸。

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The aim of this investigation was to assess the feasibility of building a virtual human face digitally by superimposing a photo-realistic three-dimensional (3D) soft-tissue surface on bone in the correct relationship and evaluating the registration errors associated with this method. The 3D soft-tissue surface of the face was captured using a fast stereophotogrammetry method and the underlying bone was recorded using a 3D computed tomography (CT) scanner. Using the Procrustes registration method, the outer surface of the 3D CT scan and the photo-realistic soft-tissue surfaces were merged into a single Virtual Reality Modelling Language (VRML) file and displayed using a standard VRML viewer. Quantitative measurements of registration errors were calculated in the reconstructed human head models using the signed closest point distance from the photo-realistic skin surface to the transformed CT skin surface. The registration errors between most parts of the aligned surfaces were within +/-1.5mm. The errorswere relatively large around the eyebrows, eyelids and cheeks. Simultaneous recording of the face and skull may reduce this error.
机译:这项研究的目的是通过以正确的关系在骨骼上叠加逼真的三维(3D)软组织表面并评估与该方法相关的配准误差,来评估数字化虚拟人脸的可行性。使用快速立体摄影测量法捕获面部的3D软组织表面,并使用3D计算机断层扫描(CT)扫描仪记录下面的骨骼。使用Procrustes注册方法,将3D CT扫描的外表面和逼真的软组织表面合并为一个虚拟现实建模语言(VRML)文件,并使用标准VRML查看器显示。配准误差的定量测量是在重建的人体头部模型中使用从真实感皮肤表面到已转换的CT皮肤表面的有符号最近点距离来计算的。对齐表面的大部分之间的套准误差在+/- 1.5mm之内。眉毛,眼睑和脸颊周围的误差相对较大。同时记录面部和颅骨可减少此错误。

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