Volumetric and artificial intelligence (AI) video firm Volograms has released the public version of its 3D content creation application, Volu. Using deep learning and computer vision technologies, its AI-driven mobile content creation platform allows smartphone users to easily create, share, and play with dynamic augmented reality (AR) and virtual reality (VR) content. ) immersive.
Volu is an extension of Volograms’ mission to make AR / VR content creation more accessible. Although, according to Statista, RA users exceeded 90 million in 2021 in the United States alone and an estimated 2.4 billion mobile RA users worldwide by 2023, the company notes that Content creation for RA and VR have so far been too inaccessible, expensive, complicated or rudimentary to gain massive appeal.
“Virtual and augmented reality will change our communication patterns and our daily lives, similar to the advent of the Internet, social media and smartphones,” said Rafael Pagés, CEO and co-founder of Volograms . “Finally, it will be ubiquitous. However, like any other technological leap, it must first be more accessible. Putting the power of creating dynamic 3D content in every hand, pocket or wallet that a smartphone carries with our Volu app is the first step. We are enabling user – generated content for AR by converting standard smartphone cameras into AR – ready cameras. “
Based on comments from thousands of Volu beta users around the world, Volograms fine-tuned the key features of the new version of the app before the general version. This included improving reliability, speeding up 3D reconstruction, incorporating a self-capture timer, and adding new creative effects and algorithms to improve the quality of critical details, such as facial features. In addition, the company is working to add more advanced sharing functionality to facilitate co-creation and access to Android devices.
The app’s features include single-view volumetric capture, which allows 3D reconstruction from a single mobile camera point of view. Foreground automatic segmentation eliminates the need for a green screen and allows the use of applications in uncontrolled environments, even outdoors. Marker-free estimation allows you to estimate the 3D skeleton to properly capture human movement without any additional equipment or sensors.
The app also offers support for advanced sensors, including LiDAR, to provide depth-based perspective correction and generate more accurate results; comprehensive cloud computing and keyframe-based sequence coding and compression; and integration with machine learning tools to make processing mobile and ultimately allow for real-time transmission with 5G.