[19a-221B-1~9] 【CS.2】 Code-sharing Session of 3.3 & 4.4

▲ [19a-221B-9] Computational Imaging from Focal Stack Based on Feature Density Measure

〇Chang Liu¹, Jun Qiu¹ (1.Inst. of Applied Mathematics, Beijing Information Science and Technology Univ.)

Keywords:focal stack, depth estimation, all-in-focus imaging

We propose a novel computational imaging method based on feature density measure from focal stack. We applied the feature density to indicate the focus degree of an object point in the focal stack. The focus measure leads to establish computational imaging, including depth estimation and all-in-focus imaging algorithms.Compared to the SML, the proposed method shows a better perfor-mance in scene depth recovery and all-in-focus imaging.