ImageResizer.Plugins.RedEye.EyeDetection Class Reference

Inheritance diagram for ImageResizer.Plugins.RedEye.EyeDetection:

Collaboration diagram for ImageResizer.Plugins.RedEye.EyeDetection:

Protected Member Functions
override List< ObjRect >	DetectFeatures (IplImage img, CvMemStorage storage)
	Detects features on a grayscale image. More...

Detailed Description

Definition at line 37 of file EyeDetection.cs.

Member Function Documentation

override List<ObjRect> ImageResizer.Plugins.RedEye.EyeDetection.DetectFeatures ( IplImage  img, CvMemStorage  storage  )

inlineprotected

Detects features on a grayscale image.

Parameters

img
storage

Returns

Definition at line 57 of file EyeDetection.cs.

                                                                                            {
            List<ObjRect> eyes = new List<ObjRect>();

            //Detect faces
            Stopwatch watch = Stopwatch.StartNew();
            CvAvgComp[] faces = Cv.HaarDetectObjects(img, Cascades["FaceCascade"], storage, 1.0850, 2, 0, new CvSize(30, 30)).ToArrayAndDispose();
            watch.Stop();
            Debug.WriteLine("face detection time = " + watch.ElapsedMilliseconds);

            watch.Reset(); watch.Start();

            //If there are no faces, look for large eye pairs
            if (faces.Length == 0) {
                CvAvgComp[] pairs = Cv.HaarDetectObjects(img, Cascades["EyePair45"], storage, 1.0850, 2, 0, new CvSize(img.Width / 4, img.Width / 20)).ToArrayAndDispose();
                if (pairs.Length > 0) {
                    //TODO!!! Uncomment and test now that CompareByNeighbors sorts correctly
                    //Array.Sort<CvAvgComp>(pairs, CompareByNeighbors); 
                    //Take the 1st most likely that actually contains eyes. We don't want to evaluate multiple eye pairs when there are no faces.
                    //If there are pairs, evalutate them all. Finding eyes within multiple pairs is unlikely
                    foreach (CvAvgComp pair in pairs) {
                        var results = DetectFeaturesInPair(img, storage, pair);
                        eyes.AddRange(results);
                        if (results.Count > 0) break;
                    }
                }
            }

            //For each face...
            foreach (CvAvgComp face in faces) {
                eyes.AddRange(DetectFeaturesInFace(img, storage, face));
            }

            watch.Stop();
            Debug.WriteLine("eye detection time = " + watch.ElapsedMilliseconds);
            return eyes;
        }

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The documentation for this class was generated from the following file:

• C:/Users/nathanael/Documents/resizer/Plugins/RedEye/EyeDetection.cs