Occlusion Aware Reduced Angular Candidates based Light Field Depth Estimation from an Epipolar Plane Image

2018 ◽  
Vol 2018 (13) ◽  
pp. 390-1-390-6
Author(s):  
Ji-Hun Mun ◽  
Yo-Sung Ho
Author(s):  
Yongbing Zhang ◽  
Huijin Lv ◽  
Yebin Liu ◽  
Haoqian Wang ◽  
Xingzheng Wang ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Lipeng Si ◽  
Hao Zhu ◽  
Qing Wang

Flat surface detection is one of the most common geometry inferences in computer vision. In this paper we propose detecting printed photos from original scenes, which fully exploit angular information of light field and characteristics of the flat surface. Unlike previous methods, our method does not need a prior depth estimation. The algorithm rectifies the mess epipolar lines in the epipolar plane image (EPI). Then feature points are extracted from light field data and used to compute an energy ratio in the depth distribution of the scene. Based on the energy ratio, a feature vector is constructed and we obtain robust detection of flat surface. Apart from flat surface detection, the kernel rectification algorithm in our method can be expanded to inclined plane refocusing and continuous depth estimation for flat surface. Experiments on the public datasets and our collections have demonstrated the effectiveness of the proposed method.


2016 ◽  
Vol 38 (11) ◽  
pp. 2170-2181 ◽  
Author(s):  
Ting-Chun Wang ◽  
Alexei A. Efros ◽  
Ravi Ramamoorthi
Keyword(s):  

2021 ◽  
Author(s):  
Kunyuan Li ◽  
Jun Zhang ◽  
Jun Gao ◽  
Meibin Qi
Keyword(s):  

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 48984-48993 ◽  
Author(s):  
Xinpeng Huang ◽  
Ping An ◽  
Liquan Shen ◽  
Ran Ma

Author(s):  
Shuyao Zhou ◽  
Tianqian Zhu ◽  
Kanle Shi ◽  
Yazi Li ◽  
Wen Zheng ◽  
...  

AbstractLight fields are vector functions that map the geometry of light rays to the corresponding plenoptic attributes. They describe the holographic information of scenes by representing the amount of light flowing in every direction through every point in space. The physical concept of light fields was first proposed in 1936, and light fields are becoming increasingly important in the field of computer graphics, especially with the fast growth of computing capacity as well as network bandwidth. In this article, light field imaging is reviewed from the following aspects with an emphasis on the achievements of the past five years: (1) depth estimation, (2) content editing, (3) image quality, (4) scene reconstruction and view synthesis, and (5) industrial products because the technologies of lights fields also intersect with industrial applications. State-of-the-art research has focused on light field acquisition, manipulation, and display. In addition, the research has extended from the laboratory to industry. According to these achievements and challenges, in the near future, the applications of light fields could offer more portability, accessibility, compatibility, and ability to visualize the world.


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