CAJ | 학술논문

图像匹配是是立体视觉的核心问题，针对当前图像匹配算法运算时间长、不能得到稠密匹配点的缺点，提出一种惯性信息辅助的金字塔式图像匹配算法。采用两层图像金字塔，使用非极值抑制法控制特征点的数目，前后左右4幅图像分别利用极线约束和惯性信息限制匹配点的搜索范围，进行绝对差值和比较。仿真实验结果证明，该算法可以控制得到的匹配点数目，并且实时性和匹配点的置信度得到很大提高。
도상필배시시입체시각적핵심문제，침대당전도상필배산법운산시간장、불능득도주밀필배점적결점，제출일충관성신식보조적금자탑식도상필배산법。채용량층도상금자탑，사용비겁치억제법공제특정점적수목，전후좌우4폭도상분별이용겁선약속화관성신식한제필배점적수색범위，진행절대차치화비교。방진실험결과증명，해산법가이공제득도적필배점수목，병차실시성화필배점적치신도득도흔대제고。
Image matching is the core of the computer vision. The pyramidal image matching algorithm based on inertial in-formation is proposed to solve the problems of long computation time and sparse matching points,which exist in the current algo-rithms. Two-level image pyramid is used and the non-maximum suppression method is employed to control the number of feature points in this algorithm. When matching the four images,the algorithm makes use of the epipolar constraint and inertial informa-tion to constraint the searching space,and compares the sum of absolute differences(SAD). The simulation experimental results show that the algorithm can control the obtained matching points,and improve the real-time performance and the degree of confi-dence of the matching points.