论文标题
物理互动:重建与物理的手动相互作用
Physical Interaction: Reconstructing Hand-object Interactions with Physics
论文作者
论文摘要
由于由遮挡引起的严重观察,基于手动对象相互作用的单个基于手动对象相互作用的重建具有挑战性。本文提出了一种基于物理的方法,以更好地解决重建中的歧义。它首先提出了一个基于力的动力学模型,该模型不仅可以恢复未观察到的接触,还可以解决合理的接触力。接下来,提出了一种基于置信的幻灯片预防方案,该方案将运动学上的信心和接触力都结合在一起,以共同对静态和滑动接触运动进行建模。定性和定量实验表明,该提出的技术在物理上可行,更准确的手动相互作用,并使用单个RGBD传感器实时估计合理的接触力。
Single view-based reconstruction of hand-object interaction is challenging due to the severe observation missing caused by occlusions. This paper proposes a physics-based method to better solve the ambiguities in the reconstruction. It first proposes a force-based dynamic model of the in-hand object, which not only recovers the unobserved contacts but also solves for plausible contact forces. Next, a confidence-based slide prevention scheme is proposed, which combines both the kinematic confidences and the contact forces to jointly model static and sliding contact motion. Qualitative and quantitative experiments show that the proposed technique reconstructs both physically plausible and more accurate hand-object interaction and estimates plausible contact forces in real-time with a single RGBD sensor.