%0 Journal Article
%T Improved inverse compositional algorithm and operators comparison<br>基于局部指向性的反向合成图像对齐算法
%A ZHANG Pei
%A WU Ya-feng
%A <br>张培
%A 吴亚锋
%J 计算机应用
%D 2007
%I 
%X Traditional inverse compositional image alignment algorithm (ICIA) compares intensity values between a template image and an input image. However, it is easily affected by the variations of the lighting conditions, which leads to poor convergence or even divergence. Local orientation of an image tends to be less sensitive to lighting conditions than intensity values. Therefore an inverse compositional gradient (ICG) algorithm was proposed based on the local orientation. Experimental results demonstrate that this algorithm could overcome the influence of the lighting variations efficiently. In addition, the evaluation of the local orientation and image gradients is essentially equivalent. Hence several gradient operators were used to compute the local orientation, and the influences of the operators on the ICG algorithms under different lighting conditions were analyzed and compared.
%K inverse composition
%K image alignment
%K local orientation
%K gradient algorithm
%K gradient operator<br>反向合成
%K 图像对齐
%K 局部指向性
%K 梯度算法
%K 梯度算子
%K 改进
%K 合成算法
%K 梯度算子
%K 算法比较
%K comparison
%K operators
%K algorithm
%K inverse
%K 不同光照
%K 验证
%K 实验
%K 图像梯度
%K 计算
%K 梯度算法
%K 特性
%K 敏感
%K 指向性
%K 局部
%K 收敛性
%K 影响
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD274305128AC14AAF181CE146&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=B10D796AE1B3FEBD&eid=B7DE0F3CA34DA149&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=11