Large Angle based Skeleton Extraction for 3D Animation
This addresses a specific bottleneck in 3D animation and related applications for realistic character movement, but appears incremental as it builds on existing skeleton-based deformation approaches.
The paper tackles the problem of 3D character deformation under large angle rotations, which is often poorly handled by existing methods, by introducing a distortion metric function to detect such rotations, and shows applicability in 3D modeling, animation, and skeleton-based tracking.
In this paper, we present a solution for arbitrary 3D character deformation by investigating rotation angle of decomposition and preserving the mesh topology structure. In computer graphics, skeleton extraction and skeleton-driven animation is an active areas and gains increasing interests from researchers. The accuracy is critical for realistic animation and related applications. There have been extensive studies on skeleton based 3D deformation. However for the scenarios of large angle rotation of different body parts, it has been relatively less addressed by the state-of-the-art, which often yield unsatisfactory results. Besides 3D animation problems, we also notice for many 3D skeleton detection or tracking applications from a video or depth streams, large angle rotation is also a critical factor in the regression accuracy and robustness. We introduced a distortion metric function to quantify the surface curviness before and after deformation, which is a major clue for large angle rotation detection. The intensive experimental results show that our method is suitable for 3D modeling, animation, skeleton based tracking applications.