We present a novel 3D scanning system with the potential for interactive acquisition and visualization of dynamic scenes. Our system uses a spatio-temporally adaptive sampling strategy, and can take advantage of multiple simultaneous scanning devices operating at different resolutions. We also employ a level set framework for reconstructing potentially dynamic scenes from multiple concurrent streams of range data. In our framework, implicit surfaces are reconstructed periodically from new samples on a course grid, creating a sequence of reconstructions from disjoint sample sets that is used to estimate motion in the scene. A high-resolution reconstruction proceeds alongside, where the surface is evolved by a convective flow that guides it towards the sample set. We employ a spatially-varying distance metric based on our motion estimate that adaptively constrols the contribution of older samples to the final reconstruction.
Scanning and Reconstruction for Dynamic Surfaces
University of Virginia Technical Report CS-2006-25, 2006