使用JavaCV计算CvMat的CvPoint2D32f列表以计算Homography

使用JavaCV。我有一个ArrayList中的2组CvPoint2D32f点，其中一个来自移动电话的图像大佬，另一个来自已知的常量图像源。使用JavaCV计算CvMat的CvPoint2D32f列表以计算Homography

我想应用cvFindHomogrpahy()方法使用这些点来找到点之间的Homography矩阵。我使用下面的代码，试图做到这一点，但我坚持就如何从我知道的2 cvMat的cvFindHomogrpahy()方法采用作为参数的点得到：

matsrc = cvCreateMat(points.size(), 2, CV_32FC1); 
matdst = cvCreateMat(known.size(), 2, CV_32FC1); 

for(int s=0; s < points.size(); s++){ 
    CvPoint2D32f p = (CvPoint2D32f)points.get(i).get("Point"); 
    //Add this point to matsrc       
} 

for(int s=0; s < known.size(); s++){ 
    CvPoint2D32f p = (CvPoint2D32f)known.get(i).get("Point"); 
    //Add this point to matdst       
} 


CvMat mat = cvCreateMat(3, 3, CV_32FC1); 
cvFindHomography(matsrc, matdst, mat); //Here the matrices created are used to find the 3x3 Homography transform Matrix

我要对这个完全错误的方法？

来源

2012-02-21 SamRowley

总之你可以使用CvMat的put方法。

这里是你的代码的一些修改后的完整解决方案：

import java.io.*; 
import java.util.*; 

import static com.googlecode.javacv.cpp.opencv_core.*; 
import static com.googlecode.javacv.cpp.opencv_imgproc.*; 
import static com.googlecode.javacv.cpp.opencv_highgui.*; 
import static com.googlecode.javacv.cpp.opencv_calib3d.*; 

/** 
* 
* @author rics 
*/ 
public class Main { 

    /** 
    * @param args the command line arguments 
    */ 
    public static void main(String[] args) {  
    List<CvPoint2D32f> points = new ArrayList<CvPoint2D32f>(); 
    List<CvPoint2D32f> known = new ArrayList<CvPoint2D32f>(); 
    // points and known should be filled with valid values 
    // here are just some ad-hoc numbers that do not result a singular (unsolvable) configuration 
    for(int i=0; i < 2; i++){ 
     points.add(cvPoint2D32f((double)i,10 - 2* (double)i)); 
     known.add(cvPoint2D32f((double)i,10 - 2*(double)i)); 
    } 
    for(int i=2; i < 5; i++){ 
     points.add(cvPoint2D32f((double)i,(double)i)); 
     known.add(cvPoint2D32f((double)i,(double)i)); 
    } 
    CvMat matsrc = cvCreateMat(points.size(), 2, CV_32FC1); 
    CvMat matdst = cvCreateMat(known.size(), 2, CV_32FC1); 

    // filling the matrices with the point coordinates 
    for(int s=0; s < points.size(); s++){ 
     CvPoint2D32f p = points.get(s);//.get("Point"); 
     //Add this point to matsrc       
     matsrc.put(s,0,p.x()); 
     matsrc.put(s,1,p.y()); 
    } 

    for(int s=0; s < known.size(); s++){ 
     CvPoint2D32f p = known.get(s);//.get("Point"); 
     //Add this point to matdst       
     matdst.put(s,0,p.x()); 
     matdst.put(s,1,p.y()); 
    } 

    CvMat mat = cvCreateMat(3, 3, CV_32FC1); 
    cvFindHomography(matsrc, matdst, mat); //Here the matrices created are used to find the 3x3 Homography transform Matrix 
    // displaying the resulting matrix 
    for(int i = 0; i < 3; ++i) { 
     for(int j = 0; j < 3; ++j) { 
     System.out.print(mat.get(i,j) + ","); 
     } 
     System.out.println(); 
    } 
    } 
}

对我来说，结果是：

1.0,5.011022034363615E-16,-5.249974158069671E-15, 
1.6479031282788333E-15,1.0,-5.495862740459911E-15, 
4.4222287862990617E-16,1.2693993089577568E-16,1.0,

来源

2012-02-23 20:23:12 rics

使用JavaCV计算CvMat的CvPoint2D32f列表以计算Homography

回答

相关问题