如何基于matlab相机标定导出xml文件

1 参数选择 径向畸变3个参数还是两个参数

默认两个参数

如果是三个参数

2准备转化生成结果

二参数的转化代码

writeExternalandIntrinsicMatrix(cameraParams62,'cameraParams622.xml');

function writeExternalandIntrinsicMatrix(cameraParams,file)
％writeXML(cameraParams,file)

docNode = com.mathworks.xml.XMLUtils.createDocument('opencv_storage');
docRootNode = docNode.getDocumentElement;
IntrinsicMatrix = ((cameraParams.IntrinsicMatrix)');

TangentialDistortion =cameraParams.TangentialDistortion;
％Distortion = [cameraParams.RadialDistortion(1:2),TangentialDistortion, cameraParams.RadialDistortion(3)];
Distortion = [cameraParams.RadialDistortion(1:2),TangentialDistortion,0];
FocalLength = cameraParams.FocalLength;
camera_matrix = docNode.createElement('IntrinsicCam'); ％锟斤拷锟斤拷mat锟节碉拷
camera_matrix.setAttribute('type_id','opencv-matrix'); ％锟斤拷锟斤拷mat锟节碉拷锟斤拷锟斤拷
rows = docNode.createElement('rows'); ％锟斤拷锟斤拷锟叫节碉拷
rows.appendChild(docNode.createTextNode(sprintf('％d',3))); ％锟斤拷锟斤拷锟侥憋拷锟节点，锟斤拷锟斤拷为锟叫碉拷锟接节碉拷
camera_matrix.appendChild(rows); ％锟斤拷锟叫节碉拷锟斤拷为mat锟接节碉拷

cols = docNode.createElement('cols');
cols.appendChild(docNode.createTextNode(sprintf('％d',3)));
camera_matrix.appendChild(cols);

dt = docNode.createElement('dt');
dt.appendChild(docNode.createTextNode('d'));
camera_matrix.appendChild(dt);

data = docNode.createElement('data');
for i=1:3
 for j=1:3
   data.appendChild(docNode.createTextNode(sprintf('％.16f ',IntrinsicMatrix(i,j))));
 end
 data.appendChild(docNode.createTextNode(sprintf('\n')));
end
camera_matrix.appendChild(data);
docRootNode.appendChild(camera_matrix);

distortion = docNode.createElement('DistortionCam');
distortion.setAttribute('type_id','opencv-matrix');
rows = docNode.createElement('rows');
rows.appendChild(docNode.createTextNode(sprintf('％d',1)));
distortion.appendChild(rows);

cols = docNode.createElement('cols');
cols.appendChild(docNode.createTextNode(sprintf('％d',5)));
distortion.appendChild(cols);

dt = docNode.createElement('dt');
dt.appendChild(docNode.createTextNode('d'));
distortion.appendChild(dt);
data = docNode.createElement('data');
for i=1:5
  data.appendChild(docNode.createTextNode(sprintf('％.16f ',Distortion(i))));
end
distortion.appendChild(data);
docRootNode.appendChild(distortion);

focalLength = docNode.createElement('FocalLength');
focalLength.setAttribute('type_id','opencv-matrix');
rows = docNode.createElement('rows');
rows.appendChild(docNode.createTextNode(sprintf('％d',1)));
focalLength.appendChild(rows);
cols = docNode.createElement('cols');
cols.appendChild(docNode.createTextNode(sprintf('％d',1)));
focalLength.appendChild(cols);
dt = docNode.createElement('dt');
dt.appendChild(docNode.createTextNode('d'));
focalLength.appendChild(dt);
data = docNode.createElement('data');
for i=1:1
  data.appendChild(docNode.createTextNode(sprintf('％.16f ',FocalLength(i))));
end
focalLength.appendChild(data);
docRootNode.appendChild(focalLength);

％ distortion = docNode.createElement('Pmatrix');
％ distortion.setAttribute('type_id','opencv-matrix');
％ rows = docNode.createElement('rows');
％ rows.appendChild(docNode.createTextNode(sprintf('％d',1)));
％ distortion.appendChild(rows);
％
％ cols = docNode.createElement('cols');
％ cols.appendChild(docNode.createTextNode(sprintf('％d',4)));
％ distortion.appendChild(cols);
％
％ dt = docNode.createElement('dt');
％ dt.appendChild(docNode.createTextNode('d'));
％ distortion.appendChild(dt);
％ data = docNode.createElement('data');
％ for i=1:4
％    data.appendChild(docNode.createTextNode(sprintf('％.16f ',Distortion(i))));
％ end
％ distortion.appendChild(data);
％ docRootNode.appendChild(distortion);

xmlFileName = file;
xmlwrite(xmlFileName,docNode);
end

二参数的保存结果

<?xml version="1.0" encoding="utf-8"?>
<opencv_storage>
 <IntrinsicCam type_id="opencv-matrix">
  <rows>3</rows>
  <cols>3</cols>
  <dt>d</dt>
  <data>1558.5669994681102253 0.0000000000000000 821.5211092415044050
0.0000000000000000 1557.8077127262038175 460.9748043702705331
0.0000000000000000 0.0000000000000000 1.0000000000000000
</data>
 </IntrinsicCam>
 <DistortionCam type_id="opencv-matrix">
  <rows>1</rows>
  <cols>5</cols>
  <dt>d</dt>
  <data>-0.1873006682834817 0.0171597428423078 0.0000000000000000 0.0000000000000000 0.0000000000000000 </data>
 </DistortionCam>
 <FocalLength type_id="opencv-matrix">
  <rows>1</rows>
  <cols>1</cols>
  <dt>d</dt>
  <data>1558.5669994681102253 </data>
 </FocalLength>
</opencv_storage>

三参数的转化代码

function writeXML(cameraParams,file)
％writeXML(cameraParams,file)
％功能：将相机校正的参数保存为xml文件
％输入：
％cameraParams：相机校正数据结构
％file：xml文件名
％说明在xml文件是由一层层的节点组成的。
％首先创建父节点 fatherNode，
％然后创建子节点 childNode=docNode.createElement(childNodeName)，
％再将子节点添加到父节点 fatherNode.appendChild(childNode)
docNode = com.mathworks.xml.XMLUtils.createDocument('opencv_storage'); ％创建xml文件对象
docRootNode = docNode.getDocumentElement; ％获取根节点

IntrinsicMatrix = (cameraParams.IntrinsicMatrix)'; ％相机内参矩阵
RadialDistortion = cameraParams.RadialDistortion; ％相机径向畸变参数向量1*3
TangentialDistortion =cameraParams.TangentialDistortion; ％相机切向畸变向量1*2
 Distortion = [RadialDistortion(1:2),TangentialDistortion,RadialDistortion(3)]; ％构成opencv中的畸变系数向量[k1,k2,p1,p2,k3]

camera_matrix = docNode.createElement('camera-matrix'); ％创建mat节点
camera_matrix.setAttribute('type_id','opencv-matrix'); ％设置mat节点属性
rows = docNode.createElement('rows'); ％创建行节点
rows.appendChild(docNode.createTextNode(sprintf('％d',3))); ％创建文本节点，并作为行的子节点
camera_matrix.appendChild(rows); ％将行节点作为mat子节点

cols = docNode.createElement('cols');
cols.appendChild(docNode.createTextNode(sprintf('％d',3)));
camera_matrix.appendChild(cols);

dt = docNode.createElement('dt');
dt.appendChild(docNode.createTextNode('d'));
camera_matrix.appendChild(dt);

data = docNode.createElement('data');
for i=1:3
 for j=1:3
   data.appendChild(docNode.createTextNode(sprintf('％.16f ',IntrinsicMatrix(i,j))));
 end
 data.appendChild(docNode.createTextNode(sprintf('\n')));
end
camera_matrix.appendChild(data);
docRootNode.appendChild(camera_matrix);

distortion = docNode.createElement('distortion');
distortion.setAttribute('type_id','opencv-matrix');
rows = docNode.createElement('rows');
rows.appendChild(docNode.createTextNode(sprintf('％d',5)));
distortion.appendChild(rows);

cols = docNode.createElement('cols');
cols.appendChild(docNode.createTextNode(sprintf('％d',1)));
distortion.appendChild(cols);

dt = docNode.createElement('dt');
dt.appendChild(docNode.createTextNode('d'));
distortion.appendChild(dt);
data = docNode.createElement('data');
for i=1:5
  data.appendChild(docNode.createTextNode(sprintf('％.16f ',Distortion(i))));
end
distortion.appendChild(data);

docRootNode.appendChild(distortion);

xmlFileName = file;
xmlwrite(xmlFileName,docNode);
end

三参数的转化保存结果

<?xml version="1.0" encoding="utf-8"?>
<opencv_storage>
 <camera-matrix type_id="opencv-matrix">
  <rows>3</rows>
  <cols>3</cols>
  <dt>d</dt>
  <data>1558.6100144620272658 0.0000000000000000 821.6453269280840459
0.0000000000000000 1557.8120286433929778 460.8682816753835141
0.0000000000000000 0.0000000000000000 1.0000000000000000
</data>
 </camera-matrix>
 <distortion type_id="opencv-matrix">
  <rows>5</rows>
  <cols>1</cols>
  <dt>d</dt>
  <data>-0.1840928673709393 -0.0328189923757994 0.0000000000000000 0.0000000000000000 0.2205440258401062 </data>
 </distortion>
</opencv_storage>

来源：https://www.cnblogs.com/kekeoutlook/p/13507730.html