Fusion4D: Real-time performance capture of challenging scenes

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Abstract

We contribute a new pipeline for live multi-view performance capture, generating temporally coherent high-quality reconstructions in real-time. Our algorithm supports both incremental reconstruction, improving the surface estimation over time, as well as parameterizing the nonrigid scene motion. Our approach is highly robust to both large frame-to-frame motion and topology changes, allowing us to reconstruct extremely challenging scenes. We demonstrate advantages over related real-time techniques that either deform an online generated template or continually fuse depth data non-rigidly into a single reference model. Finally, we show geometric reconstruction results on par with offline methods which require orders of magnitude more processing time and many more RGBD cameras.

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Dou, M., Khamis, S., Degtyarev, Y., Davidson, P., Fanello, S. R., Kowdle, A., … Izadi, S. (2016). Fusion4D: Real-time performance capture of challenging scenes. In ACM Transactions on Graphics (Vol. 35). Association for Computing Machinery. https://doi.org/10.1145/2897824.2925969

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