BodyDigitizer: An Open Source Photogrammetry-based 3D Body Scanner
This addresses the need for cost-effective, high-resolution 3D scanning in nonprofit and other applications, though it is incremental as it builds on existing photogrammetry methods.
The authors tackled the problem of creating affordable, high-quality 3D body scanners for virtual avatars by developing BodyDigitizer, an open-source system using up to 96 Raspberry Pi cameras and active LED lighting, which provides detailed build instructions and software.
With the rising popularity of Augmented and Virtual Reality, there is a need for representing humans as virtual avatars in various application domains ranging from remote telepresence, games to medical applications. Besides explicitly modelling 3D avatars, sensing approaches that create person-specific avatars are becoming popular. However, affordable solutions typically suffer from a low visual quality and professional solution are often too expensive to be deployed in nonprofit projects. We present an open-source project, BodyDigitizer, which aims at providing both build instructions and configuration software for a high-resolution photogrammetry-based 3D body scanner. Our system encompasses up to 96 Rasperry PI cameras, active LED lighting, a sturdy frame construction and open-source configuration software. %We demonstrate the applicability of the body scanner in a nonprofit Mixed Reality health project. The detailed build instruction and software are available at http://www.bodydigitizer.org.