抄録

I-028
Sparse Decomposition of EPI by Using Greedy Pursuit Algorithm

EPI (Epipolar Plane Image) is the basic element in representation of 3D image and Free-view point image. The special properties of EPI give us a platform to do the special process and analysis to this category of image. In this paper, we focus on the sparse decomposition of EPI, and try to represent EPI by the combination of few atoms in the overcomplete dictionary by greedy pursuit algorithm. The experimental result gives the comparison of the sparse decompositions by using different greedy pursuit algorithms.