CAJ | 학술논문

为了实现惯性约束聚变(ICF)用靶的高精度定位,需要对靶的位姿进行监测.传统的视觉监测方法对照明、靶姿态等非常敏感,常需要人工参与判别.将尺度恒定特征变换(SIFT)算法引入到ICF靶监测领域,实现一种基于SIFT特征匹配的ICF用靶在线监测方法,实验表明采用该方法对靶位姿的监测精度可达到平移精度优于6 μm,转角精度优于0.5'.
위료실현관성약속취변(ICF)용파적고정도정위,수요대파적위자진행감측.전통적시각감측방법대조명、파자태등비상민감,상수요인공삼여판별.장척도항정특정변환(SIFT)산법인입도ICF파감측영역,실현일충기우SIFT특정필배적ICF용파재선감측방법,실험표명채용해방법대파위자적감측정도가체도평이정도우우6 μm,전각정도우우0.5'.
A precise pose mommr is required for high precision target positioning in inertial-confinement-fusion (ICF)experiments.Conventional visual monitoring methods are sensitive to illumination and target pose and often need artificial judgment.This paper introduces seale invariant feature transform (SIFT) algorithm into ICF target monitoring domain and implements an on-line target monitoring method based on SIFT features mashing.The experimental results of an on-line setting demonstrate that the translational and angle accuracy are better than 6μm and 0.5',respectively.