Abstract
Fast, accurate registration between image space and patient space is the key point to surgical navigation system. In this paper, we research and implement an face matching method based on biometri. Against to the smooth, textured feature of human face, we built a proactive structured light vision system, to get patient's facial point cloud, proposed and implemented a rough face point cloud registration method based on biometric feature of human face. By identify the nose and eyes in the two-dimensional image space by Active Shape Model (ASM) method which based on statistical information, and identify the corresponding nose and eye by the principal component analysis of the local neighborhood in the three-dimensional space, thereby automatically get an initial registration matrix for those two point cloud. Then accurate complete point cloud registration, based on Iterative Closest Point (ICP) algorithm, achieving space registration.
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