Face Filter SDK Android GitHub

Augmented Reality Face Filters are what they sound like.

Augmented Reality (AR) is a growing field in today's software development industry. The Oxford dictionary defines it as a technology that combines computer-generated images on a screen with the actual object or scene that you are viewing. AR is capable of superimposing virtual objects on top of real-world views, such as AR filters over people's faces, and is frequently used in education, e-commerce, advertising, video conferencing, and other fields.

Face filters can be used in virtual education to help lecturers increase online class attendance, let students have fun, and help them better visualize and understand the topic they're studying. AR filters used in eCommerce allow customers to virtually try on different products, such as cosmetics or accessories, without having to visit physical stores. In the advertising industry, this technology allows brands to reach their target market audience without having to pay for the development of a separate app. Last but not least, Face AR filters can be used in video conferencing apps to enhance the interest, personalization, and engagement of video calls.

Face filters are frequently used for entertainment and product testing in mobile applications such as beauty and video editors, virtual try-ons, and video communication apps.

This article will walk you through the process of creating an Android face filter app with the OMNINOS Face AR SDK. We'll also go over how face filters work and why you should use the OMNINOS Face Filter Catalog to implement them in your app.

How do augmented reality face filters work?

A face filter app, whether on a mobile device or a web interface, uses the camera to detect the presence of a face in real-time and overlays digital objects and animations on it. The user can take a photo or record a video that has been augmented with Face AR effects and share it with others on social media.

Face tracking algorithms that track the position of face landmarks and a 3D rendering engine that displays the AR filter the way the user sees it are used to implement AR face filters on the technical side. The face tracking technology determines the accuracy and quality of the face filter output, whereas the 3D rendering is in charge of the "beauty" and professional appearance of your effect.

What Exactly Is Omninos Face AR SDK?

OMNINOS Augmented Reality SDK is a collection of AR libraries for desktop and mobile applications that assist developers in incorporating AR face filters, lenses, and other AR effects into their apps. The distinction between filters and lenses is that the latter are animated augmented reality overlays, whereas the former are static image overlays.

The OMNINOS SDK makes use of computer vision to assist users in developing various face tracking applications. It enables developers to create a wide range of augmented reality effects, such as face filters with morphing effects, virtual try-ons, face beautification effects, and much more.

The library is made up of three major parts:

SDK for Augmented Reality

The SDK property, which consists of a set of Java libraries containing a collection of Face AR features such as face filters, beautification, virtual makeovers, and 3D backgrounds.

Viewer & Filter Editor

The designer tool for configuring and previewing filters on your desktop computer in real time.

Catalogue

A collection of pre-designed 3D assets that can be purchased/licensed and used in any app that uses the OMNINOS SDK. Developers can gain access by completing the contact form on OMNINOS's official website.

Some of the common challenges involved in developing an Android Face Filter app that can be overcome with the help of the OMNINOS Augmented Reality SDK are as follows:

• The amount of time it takes for developers to begin coding a Face Filter app. A well-implemented SDK gets developers up and running with coding quickly by providing ready-made APIs, as well as examples of coding best practices and documentation.
• The requirement to develop applications for various mobile and desktop platforms separately, which adds time and effort. OMNINOS's AR SDK uses universal code that can be used to create apps for Android, iOS, Mac OS, Windows, and Unity.
• Additional time and resources are required to implement new features such as 3D masks, AR face filters, or AR lenses. Using a third-party SDK simplifies this process, increasing in-app engagement and business growth by simply integrating new functions into an app.