<p style="color:rgb(51,51,51); font-family:Arial; font-size:14px; line-height:26px; margin-top:0px; margin-bottom:0px; padding-top:0px; padding-bottom:0px"> 主要分为以下几个步骤：</p>
<p style="color:rgb(51,51,51); font-family:Arial; font-size:14px; line-height:26px; margin-top:0px; margin-bottom:0px; padding-top:0px; padding-bottom:0px"> <strong>(1) 读入两张图片并分别提取SIFT特征</strong></p>
<p style="color:rgb(51,51,51); font-family:Arial; font-size:14px; line-height:26px; margin-top:0px; margin-bottom:0px; padding-top:0px; padding-bottom:0px"> <strong>(2) 利用k-d tree和BBF算法进行特征匹配查找</strong></p>
<p style="color:rgb(51,51,51); font-family:Arial; font-size:14px; line-height:26px; margin-top:0px; margin-bottom:0px; padding-top:0px; padding-bottom:0px"> <strong>(3) 利用RANSAC算法筛选匹配点并计算变换矩阵</strong></p>
<p style="color:rgb(51,51,51); font-family:Arial; font-size:14px; line-height:26px; margin-top:0px; margin-bottom:0px; padding-top:0px; padding-bottom:0px"> <strong>(3) 图像融合</strong></p>
<p style="color:rgb(51,51,51); font-family:Arial; font-size:14px; line-height:26px; margin-top:0px; margin-bottom:0px; padding-top:0px; padding-bottom:0px"> <br> </p>
<p style="color:rgb(51,51,51); font-family:Arial; font-size:14px; line-height:26px; margin-top:0px; margin-bottom:0px; padding-top:0px; padding-bottom:0px"> SIFT算法以及RANSAC算法都是利用的RobHess的SIFT源码，前三个步骤RobHess的源码中都有自带的示例。</p>
<p style="color:rgb(51,51,51); font-family:Arial; font-size:14px; line-height:26px; margin-top:0px; margin-bottom:0px; padding-top:0px; padding-bottom:0px"> <br> </p>
<p style="color:rgb(51,51,51); font-family:Arial; font-size:14px; line-height:26px; margin-top:0px; margin-bottom:0px; padding-top:0px; padding-bottom:0px"> <strong>(1) SIFT特征提取</strong></p>
<p style="color:rgb(51,51,51); font-family:Arial; font-size:14px; line-height:26px; margin-top:0px; margin-bottom:0px; padding-top:0px; padding-bottom:0px"> 直接调用RobHess源码中的sift_features()函数进行默认参数的SIFT特征提取，主要代码如下：</p>
<p style="color:rgb(51,51,51); font-family:Arial; font-size:14px; line-height:26px; margin-top:0px; margin-bottom:0px; padding-top:0px; padding-bottom:0px"> </p>
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<ol class="dp-cpp" start="1" style="padding:0px; border:none; list-style-position:initial; background-color:rgb(255,255,255); color:rgb(92,92,92); margin:0px 0px 1px 45px!important"><li class="alt" style="border-style:none none none solid; border-left-width:3px; border-left-color:rgb(108,226,108); list-style:decimal-leading-zero outside; color:inherit; line-height:18px; margin:0px!important; padding:0px 3px 0px 10px!important"> <span style="margin:0px; padding:0px; border:none; color:black; background-color:inherit"><span style="margin:0px; padding:0px; border:none; background-color:inherit">img1_Feat = cvCloneImage(img1);</span><span class="comment" style="margin:0px; padding:0px; border:none; color:rgb(0,130,0); background-color:inherit">//复制图1，深拷贝，用来画特征点</span><span style="margin:0px; padding:0px; border:none; background-color:inherit"> </span></span></li><li style="border-style:none none none solid; border-left-width:3px; border-left-color:rgb(108,226,108); list-style:decimal-leading-zero outside; background-color:rgb(248,248,248); line-height:18px; margin:0px!important; padding:0px 3px 0px 10px!important"> <span style="margin:0px; padding:0px; border:none; color:black; background-color:inherit">img2_Feat = cvCloneImage(img2);<span class="comment" style="margin:0px; padding:0px; border:none; color:rgb(0,130,0); background-color:inherit">//复制图2，深拷贝，用来画特征点</span><span style="margin:0px; padding:0px; border:none; background-color:inherit"> </span></span></li><li class="alt" styl |
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