Face filter implementation like MSQRD/SnapChat [closed] Face filter implementation like MSQRD/SnapChat [closed] ios ios

Face filter implementation like MSQRD/SnapChat [closed]


I would recommend going with Core Image and CIDetector. https://developer.apple.com/library/ios/documentation/GraphicsImaging/Conceptual/CoreImaging/ci_detect_faces/ci_detect_faces.html It has been available since iOS 5 and it has great documentation.

Creating a face detector example:

CIContext *context = [CIContext contextWithOptions:nil];                    // 1NSDictionary *opts = @{ CIDetectorAccuracy : CIDetectorAccuracyHigh };      // 2CIDetector *detector = [CIDetector detectorOfType:CIDetectorTypeFace                                          context:context                                          options:opts];                    // 3opts = @{ CIDetectorImageOrientation :          [[myImage properties] valueForKey:kCGImagePropertyOrientation] }; // 4NSArray *features = [detector featuresInImage:myImage options:opts];        // 5

Here’s what the code does:

1.- Creates a context; in this example, a context for iOS. You can use any of the context-creation functions described in Processing Images.) You also have the option of supplying nil instead of a context when you create the detector.)

2.- Creates an options dictionary to specify accuracy for the detector. You can specify low or high accuracy. Low accuracy (CIDetectorAccuracyLow) is fast; high accuracy, shown in this example, is thorough but slower.

3.- Creates a detector for faces. The only type of detector you can create is one for human faces.

4.- Sets up an options dictionary for finding faces. It’s important to let Core Image know the image orientation so the detector knows where it can find upright faces. Most of the time you’ll read the image orientation from the image itself, and then provide that value to the options dictionary.

5.- Uses the detector to find features in an image. The image you provide must be a CIImage object. Core Image returns an array of CIFeature objects, each of which represents a face in the image.

Here some open projects that could help you out to start with CoreImage or other technologies as GPUImage or OpenCV

1 https://github.com/aaronabentheuer/AAFaceDetection (CIDetector - Swift)

2 https://github.com/BradLarson/GPUImage (Objective-C)

3 https://github.com/jeroentrappers/FaceDetectionPOC (Objective-C: it has deprecated code for iOS9)

4 https://github.com/kairosinc/Kairos-SDK-iOS (Objective-C)

5 https://github.com/macmade/FaceDetect (OpenCV)


I am developing the same kind of app. I used OFxfacetracker library from OpenFramework for this.It provide mesh which contain eyes, mouth, face border, nose position and points (vertices).

You can use this.


I am testing using Unity + OpenCV for unity. Now will try how ofxfacetracker makes the gesture tracking. Filters can be done unsing gles shaders available in unity, there are also lots of plugins in the assets store that help in the real time render that you need.