Performance animation from low-dimensional control signals

By Jinxiang Chai, Jessica K. Hodgins. ACM Transactions on Graphics, 2005

409 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/598969b8612f436247522af9524bd4d5b64837a8

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In Computer Vision and Pattern Recognition

In Control and Systems Engineering

Citations in the corpus

Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs (2017, background): “A somewhat easier problem is addressed in [CH05]; they reconstruct full 3D pose from a set of sparse markers attached at the body.”
Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision (2016, background): “Unlike marker-less 3D motion capture methods that track articulated human poses from multi-view video sequences, [75, 61, 62, 72, 6, 20, 63, 13] or use active RGB-D cameras [57, 5], our approach is designed to work from a single low-cost RGB camera.”
Motion graphs++ (2012, methodology): “…dynamic models for modeling spatial-temporal variations within a small temporal window[Li et al. 2002; Hsu et al. 2005; Chai and Hodgins 2007; Lau et al. 2009; Ye and Liu 2010; Wei et al. 2011], and low-dimensional statistical models for human poses[Grochow et al. 2004; Chai and Hodgins 2005].”
VNect (2017, neutral): “CCS Concepts: • Computing methodologies → Reconstruction ; Computational photography ; Image-based rendering ;”
Generalizing motion edits with Gaussian processes (2009, methodology): “Other techniques adapt the motion of a person to drive an animated character [Chai and Hodgins 2005].”
Capturing the human figure through a wall (2015, background): “Prior art has also investigated motion capture in partial occlusions, e.g., [Li et al. 2010; Herda et al. 2000; Liu and McMillan 2006; Park and Hodgins 2006; Chai and Hodgins 2005; Wang et al. 2008].”
Phase-functioned neural networks for character control (2017, methodology): “As global PCA can have issues representing a wide range of movements in the low dimensional latent space, local PCA is adopted for handling arbitrary types of movements [Chai and Hodgins 2005; Tautges et al. 2011].”
Mode-adaptive neural networks for quadruped motion control (2018, methodology): “Various techniques based on machine learning such as K-Nearest Neigh-bours (KNN), principal component analysis [Chai and Hodgins 2005; Min and Chai 2012; Safonova et al. 2004; Tautges et al. 2011], radial basis functions (RBF) [Kovar and Gleicher 2004; Rose et al. 1998], reinforcement learning…”