構造光画像を用いた臨床における顔面位置合わせの新手法
A New Method in Facial Registration in Clinics Based on Structure Light Images
構造光カメラとCT画像から顔の特徴点を抽出し、ICP法で粗位置合わせと精密位置合わせを行うことで、低誤差かつ短時間で顔面深度画像を位置合わせする手法を提案した。
著者: Pengfei Li, Ziyue Ma, Hong Wang, Juan Deng, Yan Wang, Zhenyu Xu, Feng Yan, Wenjun Tu, Hong Sha
分類: cs.CV, cs.RO
原文アブストラクト
Background and Objective: In neurosurgery, fusing clinical images and depth images that can improve the information and details is beneficial to surgery. We found that the registration of face depth images was invalid frequently using existing methods. To abundant traditional image methods with depth information, a method in registering with depth images and traditional clinical images was investigated. Methods: We used the dlib library, a C++ library that could be used in face recognition, and recognized the key points on faces from the structure light camera and CT image. The two key point clouds were registered for coarse registration by the ICP method. Fine registration was finished after coarse registration by the ICP method. Results: RMSE after coarse and fine registration is as low as 0.995913 mm. Compared with traditional methods, it also takes less time. Conclusions: The new method successfully registered the facial depth image from structure light images and CT with a low error, and that would be promising and efficient in clinical application of neurosurgery.
