Laser & Optoelectronics Progress, Volume. 56, Issue 19, 190001(2019)
Progress in Deep Learning Based Monocular Image Depth Estimation
Obtaining depth estimation of a scene from a two-dimensional image is a classic computer vision problem that plays an important role in three-dimensional reconstruction and scene perception. Monocular image depth estimation based on deep learning has been developing rapidly in recent years with new methods being proposed rapidly. This study discusses the application history and research progress in deep learning-based monocular depth estimation and analyzes several representative deep learning algorithms and network architectures in detail for both supervised and unsupervised learning. Finally, the research progress and trend of the deep learning in the monocular depth estimation field are summarized. Existing problems and future research priorities are discussed as well.
Get Citation
Copy Citation Text
Yang Li, Xiuwan Chen, Yuan Wang, Maolin Liu. Progress in Deep Learning Based Monocular Image Depth Estimation[J]. Laser & Optoelectronics Progress, 2019, 56(19): 190001
Category: Reviews
Received: Mar. 20, 2019
Accepted: Apr. 11, 2019
Published Online: Oct. 12, 2019
The Author Email: Li Yang (yang.li2012@pku.edu.cn)