Depth Estimation from Light Field Cameras

被引：0

作者：

Im, Sunghoon ^{[1
]}

Jeon, Hae-Gon ^{[1
]}

Ha, Hyowon ^{[1
]}

Kweon, In So ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Daejeon, South Korea

来源：

2015 12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI) | 2015年

关键词：

Depth estimation; Light-field; Propagation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a 3D reconstruction method to estimate depth maps using light-field camera. The estimated depth is widely used for photographic editing. The proposed algorithm, as a feature-based method, provides high quality depth map. First, the distinctive features are extracted from reference image, and the correspondences are tracked. Second, the depth values for each points are calculated by small angle approximated bundle adjustment. Finally, the whole depth map is estimated by simple depth propagation method. To show the effectiveness of our algorithm, we compare our results with the state-of-the-art algorithm.

引用

页码：190 / 191

页数：2