FaceRecognitionApp

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FaceRecognitionApp is an open-source mobile development tool that demonstrates face recognition on Android devices. It calculates Eigenfaces and Fisherfaces for recognition, utilizing the FaceRecognitionLib library.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is FaceRecognitionApp?

FaceRecognitionApp is an open-source Android application developed by Kristian Lauszus in 2016, designed to showcase face recognition capabilities. The app implements Eigenfaces and Fisherfaces algorithms for facial recognition, leveraging the FaceRecognitionLib library for its core calculations. It provides a practical example for developers interested in integrating face recognition into Android applications. The project is released under the GNU General Public License, encouraging community contributions and modifications. It requires Android Studio, the Android NDK, OpenCV Android SDK, and Eigen3 libraries for building and running, with detailed instructions provided for both basic and advanced users who wish to modify the source code.

Best used for

Ideal for developers and students who need to explore and implement face recognition technology on Android devices, understand Eigenfaces and Fisherfaces algorithms, and integrate computer vision libraries like OpenCV. Especially valuable for educational purposes and building proof-of-concept mobile applications.

Common actions

implement face recognition

develop Android apps

learn computer vision

integrate OpenCV

"AI Agents"face swappinggithub copilotworkflowscollaborationlow-code/no-codeopen-sourcedeepfakeautomated workflow

Capabilities

Key features

Eigenfaces calculation
Fisherfaces calculation
Android app development
OpenCV integration
Eigen3 library use

Target Audience

developerstudent

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What algorithms does FaceRecognitionApp use for face recognition?

FaceRecognitionApp primarily uses Eigenfaces and Fisherfaces algorithms for performing face recognition. These methods are well-established in the field of computer vision for dimensionality reduction and classification of facial images, providing a robust foundation for the application's functionality.

What are the prerequisites for building FaceRecognitionApp?

To build FaceRecognitionApp, you need Android Studio, the Android NDK, OpenCV Android SDK (version 3.4.1 recommended), and Eigen3 libraries (version 3.3.5 recommended). Environmental variables for OpenCV and Eigen3 paths must be set for successful compilation.

Is FaceRecognitionApp suitable for commercial use?

FaceRecognitionApp is released under the GNU General Public License (GPL-2.0). This means it is free to use, modify, and distribute, but any derivative works must also be released under the same license. Consult the license for specific commercial use implications.

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Research & Education › Scientific Computing

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