Human motion capture data recovery using trajectory-based matrix completion

@inproceedings{Tan2013HumanMC,
  title={Human motion capture data recovery using trajectory-based matrix completion},
  author={Cheen-Hau Tan and Junhui Hou and Lap-Pui Chau},
  year={2013}
}
Matrix completion has previously been used as a method to recover missing data in a mocap sequence. Improvments to this scheme by structuring motion capture data into an alternative representation for matrix completion are proposed. This representation takes advantage of the properties of mocap data and matrix completion to improve the reliability of matrix completion. Experiments show that the proposed motion capture data recovery method performs significantly better for nearly all tested… CONTINUE READING

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 17 CITATIONS

Efficient human motion recovery using bidirectional attention network

  • Neural Computing and Applications
  • 2019
VIEW 8 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Nonlinear Low-Rank Matrix Completion for Human Motion Recovery

  • IEEE Transactions on Image Processing
  • 2018
VIEW 6 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Exploiting temporal stability and low-rank structure for motion capture data refinement

  • Inf. Sci.
  • 2014
VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Learning-Based Sphere Nonlinear Interpolation for Motion Synthesis

  • IEEE Transactions on Industrial Informatics
  • 2019
VIEW 1 EXCERPT
CITES BACKGROUND