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Face Alignment Implementation for iOS Integration

We have a C++ implementation that crops and aligns a face from an image based on 5 facial landmarks.

Current Implementation

The code takes the following inputs:

Target image filepath
Five facial landmarks (coordinates of eyes, nose, mouth corners)
Output crop size (default 112×112 pixels)
Filepath to write the cropped image to

Sample Input:

./face_alignment input.jpg output.jpg 112 76.77 150.33 141.15 130.50 111.25 180.37 108.10 217.14 159.93 199.44

This processes input.jpg using the 5 landmarks (each with x,y coordinates) and outputs a 112×112 aligned face to output.jpg.

Dependencies

The only external dependency it uses is OpenCV.

Requirements

Adapt this C++ implementation for iOS:

Create an Objective-C++ wrapper that can be called from Swift
Package as a framework or Swift Package
Include the necessary OpenCV iOS components

Modify the implementation to:

Accept UIImage or CVPixelBuffer as input rather than filesystem paths
Return processed image as UIImage
Handle errors gracefully with Swift-friendly error handling

Deliverables:

Ideally an xcframework that’s placed within an SPM, so the app can directly add SPM. let the SPM/framework handle its own dependencies (opencv)
Sample iOS application demonstrating usage
Integration documentation with usage examples
Performance benchmarks on at least two different iOS devices

The final implementation should:

Be thread-safe
Run on a background thread or GCD queue
Support iOS 12.0 and above
Follow iOS-specific best practices for native code
Support both simulator and device architectures