Articulated-Motion-Aware Sparse Localized Decomposition

作者：Wang, Yupan^*; Li, Guiqing; Zeng, Zhichao; He, Huayun

来源：Computer Graphics Forum, 2017, 36(8): 247-259.

DOI：10.1111/cgf.13076

• sparse localized decomposition
• edge lengths and dihedral angles
• motion editing
• animations

Compactly representing time-varying geometries is an important issue in dynamic geometry processing. This paper proposes a framework of sparse localized decomposition for given animated meshes by analyzing the variation of edge lengths and dihedral angles (LAs) of the meshes. It first computes the length and dihedral angle of each edge for poses and then evaluates the difference (residuals) between the LAs of an arbitrary pose and their counterparts in a reference one. Performing sparse localized decomposition on the residuals yields a set of components which can perfectly capture local motion of articulations. It supports intuitive articulation motion editing through manipulating the blending coefficients of these components. To robustly reconstruct poses from altered LAs, we devise a connection-map-based algorithm which consists of two steps of linear optimization. A variety of experiments show that our decomposition is truly localized with respect to rotational motions and outperforms state-of-the-art approaches in precisely capturing local articulated motion.

• 出版日期2017-12
• 单位华南理工大学