我想实现一个简单的应用程序（sample2的修改），它显示了SIFT，SURF，BRIEF和ORB的功能。用户可以简单地比较旋转或比例不变性或速度。但我发现失败了，我无法处理，所以我求助于你。
当我尝试使用SIFT或SURF时，当我尝试匹配时，我总是在线获取异常：matcherBruteForce.match(descriptorFrame, matches);
我有一个类似的AR应用程序，并且使用这些设置它正在工作，所以我无法弄清楚我犯错误的地方。我试图将变量“matcherBruteForce”设置为BRUTEFORCE，BRUTEFORCE_L1，BRUTEFORCE_SL2事件到BRUTEFORCE_HAMMING。但我总是有同样的例外：
SIFT：
CvException [org.opencv.core.CvException: /home/andreyk/OpenCV2/trunk/opencv_2.3.1.b2/modules/features2d/include/opencv2/features2d/features2d.hpp:2455: error: (-215) DataType<ValueType>::type == matcher.trainDescCollection[iIdx].type() || matcher.trainDescCollection[iIdx].empty() in function static void cv::BruteForceMatcher<Distance>::commonKnnMatchImpl(cv::BruteForceMatcher<Distance>&, const cv::Mat&, std::vector<std::vector<cv::DMatch> >&, int, const std::vector<cv::Mat>&, bool) [with Distance = cv::SL2<float>]
]
SURF：
CvException [org.opencv.core.CvException: /home/andreyk/OpenCV2/trunk/opencv_2.3.1.b2/modules/features2d/include/opencv2/features2d/features2d.hpp:2455: error: (-215) DataType<ValueType>::type == matcher.trainDescCollection[iIdx].type() || matcher.trainDescCollection[iIdx].empty() in function static void cv::BruteForceMatcher<Distance>::commonKnnMatchImpl(cv::BruteForceMatcher<Distance>&, const cv::Mat&, std::vector<std::vector<cv::DMatch> >&, int, const std::vector<cv::Mat>&, bool) [with Distance = cv::SL2<float>]
]
任何帮助表示赞赏
全班：
package sk.bolyos.opencv;
import java.util.Vector;
import org.opencv.features2d.DMatch;
import org.opencv.features2d.DescriptorExtractor;
import org.opencv.features2d.DescriptorMatcher;
import org.opencv.features2d.FeatureDetector;
import org.opencv.features2d.Features2d;
import org.opencv.features2d.KeyPoint;
import org.opencv.highgui.VideoCapture;
import org.opencv.android.Utils;
import org.opencv.core.Mat;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;
import org.opencv.highgui.Highgui;
import sk.bolyos.svk.*;
import android.content.Context;
import android.graphics.Bitmap;
import android.util.Log;
import android.view.SurfaceHolder;
public class MyView extends CvViewBase {
private static final int BOUNDARY = 35;
private Mat mRgba;
private Mat mGray;
private Mat mIntermediateMat;
private Mat mLogoMilka1,mLogoMilka2,mLogoMilka3,mLogoMilka4;
///////////////////DETECTORS
FeatureDetector siftDetector = FeatureDetector.create(FeatureDetector.SIFT);
FeatureDetector surfDetector = FeatureDetector.create(FeatureDetector.SURF);
FeatureDetector fastDetector = FeatureDetector.create(FeatureDetector.FAST);
FeatureDetector orbDetector = FeatureDetector.create(FeatureDetector.ORB);
///////////////////DESCRIPTORS
DescriptorExtractor siftDescriptor = DescriptorExtractor.create(DescriptorExtractor.SIFT);
DescriptorExtractor surfDescriptor = DescriptorExtractor.create(DescriptorExtractor.SURF);
DescriptorExtractor briefDescriptor = DescriptorExtractor.create(DescriptorExtractor.BRIEF);
DescriptorExtractor orbDescriptor = DescriptorExtractor.create(DescriptorExtractor.ORB);
///////////////////DATABASE
Vector<KeyPoint> vectorMilka1 = new Vector<KeyPoint>();
Vector<KeyPoint> vectorMilka2 = new Vector<KeyPoint>();
Vector<KeyPoint> vectorMilka3 = new Vector<KeyPoint>();
Vector<KeyPoint> vectorMilka4 = new Vector<KeyPoint>();
Mat descriptorMilka1 = new Mat();
Mat descriptorMilka2 = new Mat();
Mat descriptorMilka3 = new Mat();
Mat descriptorMilka4 = new Mat();
///////////////////VIDEO
Vector<KeyPoint> vectorFrame = new Vector<KeyPoint>();
Mat descriptorFrame = new Mat();
DescriptorMatcher matcherHamming = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMINGLUT);
DescriptorMatcher matcherBruteForce = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_SL2);
Vector<DMatch> matches = new Vector<DMatch>();
Vector<Mat> siftDescriptors = new Vector<Mat>();
Vector<Mat> surfDescriptors = new Vector<Mat>();
Vector<Mat> briefDescriptors = new Vector<Mat>();
Vector<Mat> orbDescriptors = new Vector<Mat>();
public MyView(Context context) {
super(context);
// TODO Auto-generated constructor stub
try{
/*
if (mLogoMilka1 == null){
mLogoMilka1 = new Mat();
mLogoMilka1 = Utils.loadResource(getContext(), R.drawable.milkalogo);
fillDB(mLogoMilka1,vectorMilka1,descriptorMilka1);
}
if (mLogoMilka2 == null){
mLogoMilka2 = new Mat();
mLogoMilka2 = Utils.loadResource(getContext(), R.drawable.milkalogom);
fillDB(mLogoMilka2,vectorMilka2,descriptorMilka2);
}
if (mLogoMilka3 == null){
mLogoMilka3 = new Mat();
mLogoMilka3 = Utils.loadResource(getContext(), R.drawable.milkalogol);
fillDB(mLogoMilka3,vectorMilka3,descriptorMilka3);
}*/
if (mLogoMilka4 == null){
mLogoMilka4 = new Mat();
mLogoMilka4 = Utils.loadResource(getContext(), R.drawable.milkalogolc);
fillDB(mLogoMilka4,vectorMilka4,descriptorMilka4);
}
}catch(Exception e){
Log.e( "SVK APPLICATION", "in MyView constructor "+e.toString());
}
}
public void fillDB(Mat mLogo,Vector<KeyPoint> vector,Mat descriptor){
//SIFT
siftDetector.detect( mLogo, vector );
siftDescriptor.compute(mLogo, vector, descriptor);
siftDescriptors.add(descriptor);
//SURF
surfDetector.detect( mLogo, vector );
surfDescriptor.compute(mLogo, vector, descriptor);
surfDescriptors.add(descriptor);
//FAST+BRIEF
fastDetector.detect( mLogo, vector );
briefDescriptor.compute(mLogo, vector, descriptor);
briefDescriptors.add(descriptor);
//ORB
orbDetector.detect( mLogo, vector );
orbDescriptor.compute(mLogo, vector, descriptor);
orbDescriptors.add(descriptor);
}
@Override
public void surfaceChanged(SurfaceHolder _holder, int format, int width, int height) {
super.surfaceChanged(_holder, format, width, height);
synchronized (this) {
// initialize Mats before usage
mGray = new Mat();
mRgba = new Mat();
mIntermediateMat = new Mat();
matches = new Vector<DMatch>();
vectorFrame = new Vector<KeyPoint>();
descriptorFrame = new Mat();
}
}
@Override
protected Bitmap processFrame(VideoCapture capture) {
// TODO Auto-generated method stub
switch (SVKApplikaciaActivity.viewMode) {
case SVKApplikaciaActivity.VIEW_MODE_SIFT:
//TODO SIFT
try{
//matcherBruteForce = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE);
//matcherBruteForce.clear();
matcherBruteForce.add(siftDescriptors);
matcherBruteForce.train();// proba
capture.retrieve(mGray, Highgui.CV_CAP_ANDROID_COLOR_FRAME_RGBA);
Imgproc.resize(mGray, mGray,new Size(480,320));
siftDetector.detect( mGray, vectorFrame );
siftDescriptor.compute(mGray, vectorFrame, descriptorFrame);
matcherBruteForce.match(descriptorFrame, matches);
Vector<DMatch> matchesXXX = new Vector<DMatch>();
for (DMatch t : matches)
if(t.distance<BOUNDARY)
matchesXXX.add(t);
Mat nGray = new Mat();
Mat nLogo = new Mat();
Mat nRgba = new Mat();
Imgproc.cvtColor(mGray, nGray, Imgproc.COLOR_RGBA2RGB, 3);
Imgproc.cvtColor(mLogoMilka4, nLogo, Imgproc.COLOR_RGBA2BGR, 3);
Features2d.drawMatches(nGray, vectorFrame, nLogo, vectorMilka4, matchesXXX, nRgba);
Imgproc.cvtColor(nRgba, mRgba, Imgproc.COLOR_RGB2RGBA, 4);
}catch(Exception e){
Log.e( "SVK APPLICATION","in SIFT "+ e.toString());
}
break;
case SVKApplikaciaActivity.VIEW_MODE_SURF:
//TODO SURF
try{
//matcherBruteForce = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE);
//matcherBruteForce.clear();
matcherBruteForce.add(surfDescriptors);
matcherBruteForce.train();// proba
capture.retrieve(mGray, Highgui.CV_CAP_ANDROID_COLOR_FRAME_RGBA);
Imgproc.resize(mGray, mGray,new Size(480,320));
surfDetector.detect( mGray, vectorFrame );
surfDescriptor.compute(mGray, vectorFrame, descriptorFrame);
matcherBruteForce.match(descriptorFrame, matches);
Vector<DMatch> matchesXXX = new Vector<DMatch>();
for (DMatch t : matches)
if(t.distance<BOUNDARY)
matchesXXX.add(t);
Mat nGray = new Mat();
Mat nLogo = new Mat();
Mat nRgba = new Mat();
Imgproc.cvtColor(mGray, nGray, Imgproc.COLOR_RGBA2RGB, 3);
Imgproc.cvtColor(mLogoMilka4, nLogo, Imgproc.COLOR_RGBA2BGR, 3);
Features2d.drawMatches(nGray, vectorFrame, nLogo, vectorMilka4, matchesXXX, nRgba);
Imgproc.cvtColor(nRgba, mRgba, Imgproc.COLOR_RGB2RGBA, 4);
}catch(Exception e){
Log.e( "SVK APPLICATION","in Surf "+ e.toString());
}
break;
case SVKApplikaciaActivity.VIEW_MODE_BRIEF:
//TODO BRIEF
try{
matcherHamming = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMINGLUT);
matcherHamming.add(briefDescriptors);
matcherHamming.train();// proba
capture.retrieve(mGray, Highgui.CV_CAP_ANDROID_COLOR_FRAME_RGBA);
Imgproc.resize(mGray, mGray,new Size(480,320));
fastDetector.detect( mGray, vectorFrame );
briefDescriptor.compute(mGray, vectorFrame, descriptorFrame);
matcherHamming.match(descriptorFrame, matches);
Vector<DMatch> matchesXXX = new Vector<DMatch>();
for (DMatch t : matches)
if(t.distance<BOUNDARY)
matchesXXX.add(t);
Mat nGray = new Mat();
Mat nLogo = new Mat();
Mat nRgba = new Mat();
Imgproc.cvtColor(mGray, nGray, Imgproc.COLOR_RGBA2RGB, 3);
Imgproc.cvtColor(mLogoMilka4, nLogo, Imgproc.COLOR_RGBA2BGR, 3);
Features2d.drawMatches(nGray, vectorFrame, nLogo, vectorMilka4, matchesXXX, nRgba);
Imgproc.cvtColor(nRgba, mRgba, Imgproc.COLOR_RGB2RGBA, 4);
}catch(Exception e){
Log.e( "SVK APPLICATION","in Brief "+ e.toString());
}
break;
case SVKApplikaciaActivity.VIEW_MODE_ORB:
//TODO ORB
try{
matcherHamming = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMINGLUT);
matcherHamming.add(orbDescriptors);
matcherHamming.train();// proba
capture.retrieve(mGray, Highgui.CV_CAP_ANDROID_COLOR_FRAME_RGBA);
Imgproc.resize(mGray, mGray,new Size(480,320));
orbDetector.detect( mGray, vectorFrame );
orbDescriptor.compute(mGray, vectorFrame, descriptorFrame);
matcherHamming.match(descriptorFrame, matches);
Vector<DMatch> matchesXXX = new Vector<DMatch>();
for (DMatch t : matches)
if(t.distance<BOUNDARY)
matchesXXX.add(t);
Mat nGray = new Mat();
Mat nLogo = new Mat();
Mat nRgba = new Mat();
Imgproc.cvtColor(mGray, nGray, Imgproc.COLOR_RGBA2RGB, 3);
Imgproc.cvtColor(mLogoMilka4, nLogo, Imgproc.COLOR_RGBA2BGR, 3);
Features2d.drawMatches(nGray, vectorFrame, nLogo, vectorMilka4, matchesXXX, nRgba);
Imgproc.cvtColor(nRgba, mRgba, Imgproc.COLOR_RGB2RGBA, 4);
}catch(Exception e){
Log.e( "SVK APPLICATION","in ORB "+ e.toString());
}
break;
case SVKApplikaciaActivity.VIEW_MODE_AR:
//TODO AR
break;
}
Bitmap bmp = Bitmap.createBitmap(mRgba.cols(), mRgba.rows(), Bitmap.Config.ARGB_8888);
if (Utils.matToBitmap(mRgba, bmp))
return bmp;
bmp.recycle();
return null;
}
@Override
public void run() {
super.run();
synchronized (this) {
// Explicitly deallocate Mats
if (mRgba != null)
mRgba.release();
if (mGray != null)
mGray.release();
if (mIntermediateMat != null)
mIntermediateMat.release();
mRgba = null;
mGray = null;
mIntermediateMat = null;
}
}
}
答案 0 :(得分：3)
我想我知道这个问题。您正在使用的匹配器无法应用于SIFT和SURF描述符。如果您必须使用带有筛选或冲浪的DescriptorMatcher，则必须将其设置为
DescriptorMatcher matcherBruteForce=DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_SL2);
由于SURF和SIFT仅接受FloatBased描述符，如果您将DescriptorMatcher设置为HAMMING，它将返回错误。
请注意，在您的代码中，您有两个DescriptorMatchers，一个设置为BRUTEFORCE.SL2，另一个设置为HAMMING。确保您传递正确的一个，即BRUTEFORCE.SL2到SIFT或SURF。
然而，最好将基于FLANN的匹配器用于SIFT或SURF，因为与ORB相比，它们提取了更多的关键点，而FLANN适用于大量关键点在此处阅读更多相关信息 http://computer-vision-talks.com/2011/07/comparison-of-the-opencvs-feature-detection-algorithms-ii/
和http://opencv.willowgarage.com/documentation/cpp/flann_fast_approximate_nearest_neighbor_search.html
更新： 可以使用L2或L1距离来匹配uchar描述符。如果您将DescriptorMatcher设置为BRUTEFORCE，它也可能适用于ORB（尽管效果不佳）
答案 1 :(得分：1)
你确定你的vectorFrame的大小不等于零吗？ 我认为我有同样的问题..你的问题将在检测算法中，我认为当你的图像的颜色代码不正确时它会返回零矢量帧
将Log.e( "SVK APPLICATION","vectorFrame size = "+ vectorFrame.size());放在某处