java - 将 Java 中的 3D 仿射变换构建导入 R

Question

我有一个与仿射变换（<affine>标签之间）有关的问题。我使用AffineTransform3D函数从使用 Java 创建的 BigDataViewer Fiji 插件创建的 xml 文件（此处为完整的 xml 文件）中提取以下两个仿射变换：

<ViewRegistrations>
<ViewRegistration timepoint="0" setup="0">
  <ViewTransform type="affine">
    <Name>Fast 3d geometric hashing (rotation invariant), AffineModel3D on [beads (c=0)]</Name>
    <affine>1.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0</affine>
  </ViewTransform>
  <ViewTransform type="affine">
    <Name>calibration</Name>
    <affine>1.9998662296836334 0.0 0.0 0.0 0.0 1.9998662296836334 0.0 0.0 0.0 0.0 1.9998662296836334 0.0</affine>
  </ViewTransform>
</ViewRegistration>

我想使用buildAffine()R 包 {RNiftyReg} 中的函数在 R 中导入两个仿射变换，然后使用 {RNiftyReg} 计算它们的组成composeTransforms()。

buildAffine(translation = c(0, 0, 0), scales = c(1, 1, 1), skews = c(0, 0,0),
  angles = c(0, 0, 0), source = NULL, target = NULL,
  anchor = c("none", "origin", "centre", "center"))

我的问题：
上面的仿射变换存储在 12 个索引的向量中。buildAffine()需要平移、比例、倾斜和角度的值作为输入参数。
我想知道哪个值对应什么。

标签： javarfiji

Answer 1

我主要是 R 用户，但这里有：hte Java 调用中的变量名称是：

 dat <- scan (text="double xx, double yx, double zx, double tx, double xy, double yy, double zy, double ty, double xz, double yz, double zz, double tz", what="")
dat <- dat[dat != "double"]
matrix(dat,4)
      [,1]  [,2]  [,3] 
[1,] "xx," "xy," "xz,"
[2,] "yx," "yy," "yz,"
[3,] "zx," "zy," "zz,"
[4,] "tx," "ty," "tz" 

此页面记录了如何对仿射变换进行编码，唯一的区别是 4x3 矩阵被转置：https ://o7planning.org/en/11157/javafx-transformations-tutorial

 t( matrix(dat,4) )
     [,1]  [,2]  [,3]  [,4] 
[1,] "xx," "yx," "zx," "tx,"
[2,] "xy," "yy," "zy," "ty,"
[3,] "xz," "yz," "zz," "tz" 

因此，矩阵将应用于 c(x,y,z,1) 的向量以获得以下输出：