Multi-view capture systems are complex systems to engineer. They require technical knowledge to install and complex processes to setup. However, with the ongoing developments in new production methods, we are now at a position to be able to generate high quality realistic 3D assets. Nonetheless, the capturing systems developed with these methods are intertwined with them, relying on custom solutions and seldom -if not at all -publicly available. We design, develop and publicly offer a multi-view capture system based on the latest RGB-D sensor technology. We also develop a portable and easy-to-use external calibration process to allow for its widespread use.
Free-viewpoint capture technologies have recently started demonstrating impressive results. Being able to capture human performances in full 3D is a very promising technology for a variety of applications. However, the setup of the capturing infrastructure is usually expensive and requires trained personnel. In this work we focus on one practical aspect of setting up a free-viewpoint capturing system, the spatial alignment of the sensors. Our work aims at simplifying the external calibration process that typically requires significant human intervention and technical knowledge. Our method uses an easy to assemble structure and unlike similar works, does not rely on markers or features. Instead, we exploit the a-priori knowledge of the structure's geometry to establish correspondences for the little-overlapping viewpoints typically found in free-viewpoint capture setups. These establish an initial sparse alignment that is then densely optimized. At the same time, our pipeline improves the robustness to assembly errors, allowing for non-technical users to calibrate multi-sensor setups. Our results showcase the feasibility of our approach that can make the tedious calibration process easier, and less error-prone.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.