OpenCV error unsupported format or comibation of formats when doing FlannBased matching

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I get the following errors from Logcat when I'm trying FlannBased matching. The descriptors I give to the matcher are FREAK descriptors. Do they not match or something? I searched for the error, but it seems to be a bug?? Is it fixed in 2.4.5 ? My descriptors are of the type CV_32FC (so I don't think the problem is with the descriptors I'm sending)

05-01 17:48:14.975: E/cv::error()(4060): OpenCV Error: Unsupported format or combination of formats (type=0
05-01 17:48:14.975: E/cv::error()(4060): ) in void cv::flann::buildIndex_(void*&, const cv::Mat&, const cv::flann::IndexParams&, const Distance&) [with Distance = cvflann::L2<float>, IndexType = cvflann::Index<cvflann::L2<float> >], file /home/reports/ci/slave/50-SDK/opencv/modules/flann/src/miniflann.cpp, line 315
05-01 17:48:14.980: D/AndroidRuntime(4060): Shutting down VM
05-01 17:48:14.980: W/dalvikvm(4060): threadid=1: thread exiting with uncaught exception (group=0x4201c2a0)
05-01 17:48:14.990: E/AndroidRuntime(4060): FATAL EXCEPTION: main
05-01 17:48:14.990: E/AndroidRuntime(4060): CvException [org.opencv.core.CvException: /home/reports/ci/slave/50-SDK/opencv/modules/flann/src/miniflann.cpp:315: error: (-210) type=0
05-01 17:48:14.990: E/AndroidRuntime(4060):  in function void cv::flann::buildIndex_(void*&, const cv::Mat&, const cv::flann::IndexParams&, const Distance&) [with Distance = cvflann::L2<float>, IndexType = cvflann::Index<cvflann::L2<float> >]
05-01 17:48:14.990: E/AndroidRuntime(4060): ]

The code is:

MatOfDMatch matches = new MatOfDMatch();

            matcher = DescriptorMatcher.create(DescriptorMatcher.FLANNBASED);
            matcher.match(descriptors,descriptors1,matches);
            MatOfDMatch goedematches = new MatOfDMatch();

            double max_dist = 0;
            double min_dist = 100;
            //if (descriptors.cols() == descriptors1.cols())
            //{
            for( int i = 0; i < descriptors.rows(); i++ )
            { double dist = matches.toArray()[i].distance;
              if( dist < min_dist ) min_dist = dist;
              if( dist > max_dist ) max_dist = dist;
            }
            // should only draw good matches
           for( int i = 0; i < descriptors.rows(); i++ )
            {  MatOfDMatch temp = new MatOfDMatch();
               if( matches.toArray()[i].distance < 3*min_dist )
               {   temp.fromArray(matches.toArray()[i]);
                   goedematches.push_back(temp); 
                   }        
           // }
            }

           Log.d("LOG!", "Number of good matches= " + goedematches.size());