Equiangular Kernel Dictionary Learning with Applications to Dynamic Texture Analysis

@article{Quan2016EquiangularKD,
  title={Equiangular Kernel Dictionary Learning with Applications to Dynamic Texture Analysis},
  author={Yuhui Quan and Chenglong Bao and Hui Ji},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={308-316}
}
Most existing dictionary learning algorithms consider a linear sparse model, which often cannot effectively characterize the nonlinear properties present in many types of visual data, e.g. dynamic texture (DT). Such nonlinear properties can be exploited by the so-called kernel sparse coding. This paper proposed an equiangular kernel dictionary learning method with optimal mutual coherence to exploit the nonlinear sparsity of high-dimensional visual data. Two main issues are addressed in the… CONTINUE READING