Real-time geometry, albedo and motion reconstruction using a single RGBD camera

Kaiwen Guo, F. Xu, Tao Yu, Xiaoyang Liu, Qionghai Dai, Yebin Liu
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引用次数: 55

Abstract

This paper proposes a real-time method that uses a single-view RGBD input to simultaneously reconstruct a casual scene with a detailed geometry model, surface albedo, per-frame non-rigid motion and per-frame low-frequency lighting, without requiring any template or motion priors. The key observation is that accurate scene motion can be used to integrate temporal information to recover the precise appearance, whereas the intrinsic appearance can help to establish true correspondence in the temporal domain to recover motion. Based on this observation, we rst propose a shading-based scheme to leverage appearance information for motion estimation. Then, using the reconstructed motion, a volumetric albedo fusing scheme is proposed to complete and re ne the intrinsic appearance of the scene by incorporating information from multiple frames. Since the two schemes are iteratively applied during recording, the reconstructed appearance and motion become increasingly more accurate. In addition to the reconstruction results, our experiments also show that additional applications can be achieved, such as relighting, albedo editing and free-viewpoint rendering of a dynamic scene, since geometry, appearance and motion are all reconstructed by our technique.
实时几何,反照率和运动重建使用单个RGBD相机
本文提出了一种实时方法,该方法使用单视图RGBD输入,在不需要任何模板或运动先验的情况下,同时重建具有详细几何模型、表面反照率、逐帧非刚性运动和逐帧低频照明的随机场景。关键的观察是,精确的场景运动可以用来整合时间信息来恢复精确的外观,而内在外观可以帮助在时域建立真正的对应关系来恢复运动。基于这一观察,我们首先提出了一种基于阴影的方案来利用外观信息进行运动估计。然后,利用重建的运动,提出了一种融合多帧信息的体反照率融合方案来完成和恢复场景的内在外观。由于这两种方案在记录过程中迭代应用,重建的外观和运动变得越来越精确。除了重建结果外,我们的实验还表明,由于我们的技术可以重建几何,外观和运动,因此可以实现其他应用,例如动态场景的重照明,反照率编辑和自由视点渲染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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