iOS Skin Extraction & Tracking -- 2

@irsolutions

With over 10 years of experience in web and mobile development, specializing in iOS app development and AR experiences, I understand the importance of extracting skin regions accurately using MediaPipe and ensuring high-quality frame captures even during fast head movements. My expertise in using ARKit to track heads and provide on-screen cues aligns perfectly with your project requirements. In the realm of AR experiences, I have successfully delivered projects similar to yours, ensuring precision and accuracy in tracking and aligning 3D meshes. I have a track record of providing demo builds for review before final delivery, allowing for feedback and revisions to meet your expectations seamlessly. I am excited to bring my skill set to your project and help you achieve your vision. Please feel free to reach out to discuss further details and kickstart this collaboration.

@pinkeegupta

Hi I have read your requirements and I am sure I will be able to help you. Please message me so that we will have detail technical discussion. I have 9+ years of combined experience in Mobile Application development in Native on Android Java, kotlin and IOS Swift, and For Hybrid Cross platform on Flutter Dart and for web and backend on react js and node js, Python Django, Power BI, Scikit-learn, Data Science AI ML, PyTorch, TensorFlow, SparkML , java spring boot and php CodeIgniter mvc. Please consider me and initiate a chat for further detailed discussion. Regards, Anju

@reedsystems

Hi, I'm excited to propose my approach for this project using MediaPipe to extract skin regions and ARKit for head tracking. I'll ensure that only good-quality frames are captured more frequently during fast head movements, with an emphasis on high quality. For the ARKit integration, I’ll develop on-screen cues to guide users in taking optimal scans. Given past experiences where aligning 3D meshes could be unreliable due to inaccuracies in ARKit coordinates, I will focus on refining this process by exploring alternative methods beyond just depth value capping and face mesh alignment. To facilitate debugging and analysis, the intermediate data will be saved directly on the phone, and an option for sharing via AirDrop will be included. This aligns with our previous Faysics test app approach. After delivering a demo build as per your instructions, I’m ready to refine the code according to your feedback so that it seamlessly integrates into our existing project structure. You can check the portfolio on my profile for references Best, Reed

@mughiraaa

Hi, I have reviewed the details of your project. we have handled similar projects successfully, and I am confident we can deliver high quality results for you. i will first understand exactly what you need, then plan everything step by step using reliable tools to make sure the work runs smoothly. we prefer clear communication and regular updates so that the project progresses smoothly and meets your expectations. Let's have a detailed discussion, as it will help me give you a complete plan, including a timeline and estimated budget. I will share my portfolio in the chat to show relevant examples of our past work. looking forward to your response. best regards, Mughiraa

@sekai1116

✅ Nice to meet you here ✅ I’m an experienced iOS developer with expertise in ARKit, MediaPipe, and real-time image processing, and I can implement your skin extraction and tracking solution with high accuracy. I will use MediaPipe to extract only the skin regions, optimize frame capture for fast head movements while ensuring only high-quality frames are recorded, and save intermediate data locally with an AirDrop sharing option for debugging and analysis. Using ARKit, I will track the head and provide on-screen guidance cues, while addressing coordinate inaccuracies by applying a robust method to align the 3D mesh reliably, improving upon previous depth-based compensations. I can deliver a demo build first for review and feedback, after which I will structure the final code to integrate seamlessly with your existing project. Best regards, Jiayin

@draganm59

Hello xiaoyan1029, I am excited to submit my proposal for your "iOS Skin Extraction & Tracking -- 2" project. Your requirements for enhancing the MediaPipe-based skin region extraction and improving ARKit tracking align perfectly with my expertise in mobile app development and computer vision. I understand the importance of capturing high-quality frames during fast head movements and the need for reliable intermediate data storage and sharing options, such as AirDrop. My extensive experience with iOS development and ARKit will ensure that we implement a robust system to manage these challenges effectively. My approach will focus on refining the frame capture process to maximize quality and efficiency. I'll integrate MediaPipe for precise skin extraction and apply advanced techniques to enhance frame analysis during rapid motion. Leveraging my experience with ARKit, I will develop on-screen cues to guide optimal head scans and work on improving the alignment of the 3D mesh, addressing the recurrent inaccuracies you mentioned. Delivering a demo build will be a priority, allowing us to iterate and refine the solution before final integration. My prior experience with similar projects, including the Faysics app, ensures that I can deliver results that meet your expectations and seamlessly fit into your existing framework. I look forward to the opportunity to collaborate and help bring your vision to fruition. Let's create an innovative and reliable solution together! Best regards, Dragan M.

@nikolamarinkovi9

Hello, With extensive experience in game and interactive application development, I believe I am the perfect fit for your iOS Skin Extraction & Tracking project. My skills in C++ Programming and Mobile App Development are directly relevant to your needs, having previously used Mediapipe, ARKit and provided AirDrop functionality. In line with your needs, I will leverage my strong record of always extracting and using good-quality frames even during fast head movements. Importantly, I have prior experience with ARKit's coordinates inaccuracies and compensating for them using capped depth values - this showcases my ability to adapt and provide robust solutions. Lastly, my approach combines technical skills (like using Mediapipe and ARKit) with a user-centric approach. Your iOS Skin Extraction & Tracking system will be equipped with on-screen cues that guide users to take optimal scans- making it intuitive even for novices. My knack for creating engaging, polished, and production-ready systems will undoubtedly be an asset to your project. Let me help you deliver the best possible results! Thanks!

@realroshan102

Hi, I’m excited about your iOS Skin Extraction and Tracking project and confident I can deliver a robust solution. I have strong experience with iOS development, ARKit, and computer vision, including using MediaPipe for precise skin region extraction. I’ll optimize frame capture timing for smooth tracking during rapid head movements, ensuring only high-quality frames are processed. I’ll implement local data saving with AirDrop sharing to facilitate debugging, similar to your Faysics test app setup. To improve ARKit’s alignment reliability, I’ll explore innovative depth and mesh compensation methods beyond previous attempts, aiming for consistent, stable tracking. I’ll provide a demo build for your review before finalizing the integration per your existing project structure. I look forward to collaborating closely and delivering quality results. What specific issues did you encounter with ARKit’s coordinate accuracy in previous tests that I should focus on improving? Best regards, Roshan