Retrieval of logically relevant 3D human motions by Adaptive Feature Selection with Graded Relevance Feedback

@article{Tang2012RetrievalOL,
  title={Retrieval of logically relevant 3D human motions by Adaptive Feature Selection with Graded Relevance Feedback},
  author={Jeff K. T. Tang and Howard Leung},
  journal={Pattern Recognition Letters},
  year={2012},
  volume={33},
  pages={420-430}
}
A system that can retrieve logically relevant 3D captured motions is useful in game and animation production. We presented a robust logical relevance metric based on the relative distances among the joints. Existing methods select a universal subset of features for all kinds of queries which may not well characterize the variations in different queries. To break through this limitation we proposed an Adaptive Feature Selection (AFS) method that abstracts the characteristics of the query by a… CONTINUE READING

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