CAJ | 학술논문

计算集成成像是目前三维重构与显示领域的主流研究方向，是一种基于透镜阵列来获取和重现目标场景三维的技术，针对集成成像采集的子图特征点匹配问题，传统的图像匹配方法匹配点少、耗费时间长、容易产生局部极值等问题。为了获取更多的匹配点，在原有 SIFT 配准算法基础上进行了适当的改进，实现集成成像稠密的图像配准，较大地缩短了配准时间。
계산집성성상시목전삼유중구여현시영역적주류연구방향，시일충기우투경진렬래획취화중현목표장경삼유적기술，침대집성성상채집적자도특정점필배문제，전통적도상필배방법필배점소、모비시간장、용역산생국부겁치등문제。위료획취경다적필배점，재원유 SIFT 배준산법기출상진행료괄당적개진，실현집성성상주밀적도상배준，교대지축단료배준시간。
Computational Integral Imaging(CII) technology is one of the main research directions in the field of 3D reconstruction and display. It is one kind of technologies based on lens array which is to obtain and reconstruct the goal 3D scene. According to feature point matching problem in integral imaging sub-graphs, the traditional method of image matching is not good enough because of poor matching points, huge time consumption in gand producing local minima. In order to get more matching points, we make the appropriate improvement in original image registration algorithm based on SIFT. It realizes dense image registration and shortens the time consumption.