![]() The Banuba SDK takes advantage of computer vision to help users create different face tracking applications. The difference between filters and lenses is that the latter are augmented reality animations, whereas the former is static image overlays. What Is Banuba Face AR SDK?īanuba Augmented Reality SDK is a set of AR libraries for desktop and mobile applications that help developers implement AR face filters, lenses and other AR effects in their apps. The face tracking technology determines the accuracy and the quality of the face filter output, while the 3D rendering is responsible for the “beauty” and professional look of your effect. ![]() On the technical side, AR face filters are implemented using 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. The user can take a photo or record a video augmented with Face AR effects and share it with other people on social networks. How AR face filters work?įrom the user perspective, a face filter app running either on a mobile device or web interface uses the camera to detect the presence of a face in the real-time and overlays digital objects and animations on it. We will also discuss how face filters work and the advantages of using Banuba Face Filter Catalogue for implementing face filters in your app. This article is going to provide a step-by-step guide on how to create an Android face filter app using Banuba Face AR SDK. See LaunchDarkly in action, request a demo today! Do it faster, better, and with confidence. Mobile applications such as beauty and video editors, virtual try-ons and video communication apps often employ face filters for entertainment and product testing purposes.Ĭhange how you deliver software. Last but not least, Face AR filters can be used in video conferencing apps to make video calls more interesting, personalized, and engaging. In the advertising field, this technology makes it possible for brands to reach their target market audience, without paying for the development of a separate app. AR filters used in eCommerce allow customers to try on different products virtually, e.g., cosmetics or accessories, without the need of visiting the brick and mortar stores. When it comes to virtual education, face filters can be used to help lecturers increase the attendance of online classes, let students have fun, and help them better visualize and understand the topic they're studying. AR is capable of overlaying virtual objects on top of real-world views, for example, AR filters over people's faces, and is often deployed for various purposes in education, e-commerce, advertising, video conferencing, and other areas. It is defined by the Oxford dictionary as a technology that combines computer-generated images on a screen with the real object or scene that you are looking at. Augmented Reality - or AR is an important area in today's software development industry.
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