예제 #1
0
        /// <summary>
        /// 匹配較快速但精確度較低
        /// </summary>
        /// <param name="template">樣板的特徵點類別</param>
        /// <param name="observedScene">被觀察的場景匹配的特徵點</param>
        /// <returns>回傳匹配的資料類別</returns>
        public static SURFMatchedData MatchSURFFeatureByFLANN(SURFFeatureData template, SURFFeatureData observedScene)
        {
            Matrix <byte>    mask;
            int              k = 2;
            double           uniquenessThreshold = 0.3;
            Matrix <int>     indices;
            HomographyMatrix homography = null;
            Stopwatch        watch;
            Matrix <float>   dists;

            try
            {
                watch = Stopwatch.StartNew();
                #region FLANN Match CPU
                //match
                Index flann = new Index(template.GetDescriptors(), 4);

                indices = new Matrix <int>(observedScene.GetDescriptors().Rows, k);
                using (dists = new Matrix <float>(observedScene.GetDescriptors().Rows, k))
                {
                    flann.KnnSearch(observedScene.GetDescriptors(), indices, dists, k, 2);
                    mask = new Matrix <byte>(dists.Rows, 1);
                    mask.SetValue(255);
                    Features2DToolbox.VoteForUniqueness(dists, uniquenessThreshold, mask);
                }
                int nonZeroCount = CvInvoke.cvCountNonZero(mask);
                Console.WriteLine("-----------------\nVoteForUniqueness pairCount => " + nonZeroCount.ToString() + "\n-----------------");
                if (nonZeroCount >= 4) //原先是4
                {
                    nonZeroCount = Features2DToolbox.VoteForSizeAndOrientation(template.GetKeyPoints(), observedScene.GetKeyPoints(), indices, mask, 1.2, 30);
                    Console.WriteLine("VoteForSizeAndOrientation pairCount => " + nonZeroCount.ToString() + "\n-----------------");
                    //filter out all unnecessary pairs based on distance between pairs

                    if (nonZeroCount >= 30)                                                                                                                             //原先是4
                    {
                        homography = Features2DToolbox.GetHomographyMatrixFromMatchedFeatures(template.GetKeyPoints(), observedScene.GetKeyPoints(), indices, mask, 5); //原先是5
                    }
                }
                #endregion
                watch.Stop();
                Console.WriteLine("Cal SURF Match time => " + watch.ElapsedMilliseconds.ToString() + "\n-----------------");


                return(new SURFMatchedData(indices, homography, mask, nonZeroCount, template));
            }
            catch (CvException ex)
            {
                System.Windows.Forms.MessageBox.Show(ex.ErrorMessage);
                return(null);
            }
        }
예제 #2
0
        /// <summary>
        /// 使用BruteForce匹配(較精確但較慢)
        /// </summary>
        /// <param name="template">樣板的特徵點類別</param>
        /// <param name="observedScene">被觀察的場景匹配的特徵點</param>
        /// <returns>回傳匹配的資料類別</returns>
        public static SURFMatchedData MatchSURFFeatureByBruteForce(SURFFeatureData template, SURFFeatureData observedScene)
        {
            Matrix <byte>    mask;
            int              k = 2;
            double           uniquenessThreshold = 0.5; //default:0.8
            Matrix <int>     indices;
            HomographyMatrix homography = null;
            Stopwatch        watch;

            try
            {
                watch = Stopwatch.StartNew();
                #region bruteForce match for CPU
                //match
                BruteForceMatcher <float> matcher = new BruteForceMatcher <float>(DistanceType.L2Sqr); //default:L2
                matcher.Add(template.GetDescriptors());

                indices = new Matrix <int>(observedScene.GetDescriptors().Rows, k);
                using (Matrix <float> dist = new Matrix <float>(observedScene.GetDescriptors().Rows, k))
                {
                    matcher.KnnMatch(observedScene.GetDescriptors(), indices, dist, k, null);
                    mask = new Matrix <byte>(dist.Rows, 1);
                    mask.SetValue(255);
                    Features2DToolbox.VoteForUniqueness(dist, uniquenessThreshold, mask);
                }

                int nonZeroCount = CvInvoke.cvCountNonZero(mask);
                Console.WriteLine("-----------------\nVoteForUniqueness pairCount => " + nonZeroCount.ToString() + "\n-----------------");
                if (nonZeroCount >= 4)
                {
                    nonZeroCount = Features2DToolbox.VoteForSizeAndOrientation(template.GetKeyPoints(), observedScene.GetKeyPoints(), indices, mask, 1.5, 30); //default:1.5 , 10, scale increment:1.5 rotatebin:50
                    Console.WriteLine("VoteForSizeAndOrientation pairCount => " + nonZeroCount.ToString() + "\n-----------------");
                    if (nonZeroCount >= 25)                                                                                                                    //defalut :4 , modify: 15
                    {
                        homography = Features2DToolbox.GetHomographyMatrixFromMatchedFeatures(template.GetKeyPoints(), observedScene.GetKeyPoints(), indices, mask, 5);
                    }
                }
                #endregion
                watch.Stop();
                Console.WriteLine("Cal SURF Match time => " + watch.ElapsedMilliseconds.ToString() + "\n-----------------");

                return(new SURFMatchedData(indices, homography, mask, nonZeroCount, template));
            }
            catch (CvException ex)
            {
                System.Windows.Forms.MessageBox.Show(ex.ErrorMessage);
                return(null);
            }
        }