Unsupervised Monocular Depth Estimation From Light Field Image

2020 ◽  
Vol 29 ◽  
pp. 1606-1617 ◽  
Author(s):  
Wenhui Zhou ◽  
Enci Zhou ◽  
Gaomin Liu ◽  
Lili Lin ◽  
Andrew Lumsdaine
2020 ◽  
Vol 34 (07) ◽  
pp. 12095-12103
Author(s):  
Yu-Ju Tsai ◽  
Yu-Lun Liu ◽  
Ming Ouhyoung ◽  
Yung-Yu Chuang

This paper introduces a novel deep network for estimating depth maps from a light field image. For utilizing the views more effectively and reducing redundancy within views, we propose a view selection module that generates an attention map indicating the importance of each view and its potential for contributing to accurate depth estimation. By exploring the symmetric property of light field views, we enforce symmetry in the attention map and further improve accuracy. With the attention map, our architecture utilizes all views more effectively and efficiently. Experiments show that the proposed method achieves state-of-the-art performance in terms of accuracy and ranks the first on a popular benchmark for disparity estimation for light field images.


2020 ◽  
Vol 57 (18) ◽  
pp. 181027
Author(s):  
武迎春 Wu Yingchun ◽  
程星 Cheng Xing ◽  
谢颖贤 Xie Yingxian ◽  
王安红 Wang Anhong

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 12768-12778 ◽  
Author(s):  
Tao Yan ◽  
Fan Zhang ◽  
Yiming Mao ◽  
Hongbin Yu ◽  
Xiaohua Qian ◽  
...  

2020 ◽  
Vol 40 (5) ◽  
pp. 0510002
Author(s):  
刘晓旻 Liu Xiaomin ◽  
杜梦珠 Du Mengzhu ◽  
马治邦 Ma Zhibang ◽  
朱云飞 Zhu Yunfei ◽  
陈澎勃 Chen Pengbo ◽  
...  

2017 ◽  
Vol 26 (12) ◽  
pp. 5758-5771 ◽  
Author(s):  
Hao Sheng ◽  
Shuo Zhang ◽  
Xiaochun Cao ◽  
Yajun Fang ◽  
Zhang Xiong

2021 ◽  
Vol 52 (S1) ◽  
pp. 560-560
Author(s):  
Liu Xiaomin ◽  
Du Mengzhu ◽  
Zang Huaping ◽  
Ma Zhibang ◽  
Zhu Yunfei ◽  
...  

Author(s):  
Chih-Shuan Huang ◽  
Wan-Nung Tsung ◽  
Wei-Jong Yang ◽  
Chin-Hsing Chen

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