This paper presents an approach for reconstruction of 4D temporally coherent
models of complex dynamic scenes. No prior knowledge is required of scene
structure or camera calibration allowing reconstruction from multiple moving
cameras. Sparse-to-dense temporal correspondence is integrated with joint
multi-view segmentation and reconstruction to obtain a complete 4D
representation of static and dynamic objects. Temporal coherence is exploited
to overcome visual ambiguities resulting in improved reconstruction of complex
scenes. Robust joint segmentation and reconstruction of dynamic objects is
achieved by introducing a geodesic star convexity constraint. Comparative
evaluation is performed on a variety of unstructured indoor and outdoor dynamic
scenes with hand-held cameras and multiple people. This demonstrates
reconstruction of complete temporally coherent 4D scene models with improved
nonrigid object segmentation and shape reconstruction.

本文介绍了一种重建 4D 时间连续场景模型的方法，该方法使用多个移动相机进行重建，可以重建动态或静态物体，同时将稀疏 - 稠密时序对应与联合多视角分割和重建结合使用，利用时间上的连续性克服了视觉歧义，并通过引入测地线星凸性的约束实现了具有鲁棒性的动态物体分割和重建。