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A simple monocular depth estimation network for balancing complexity and accuracy [PDF]

Scientific Reports
Monocular depth estimation plays a crucial role in many downstream visual tasks. Although research on monocular depth estimation is relatively mature, it commonly involves strategies that entail increasing both the computational complexity and the number
Xuanxuan Liu, Shuai Tang, Mengdie Feng, Xueqi Guo, Yanru Zhang, Yan Wang   +5 more
doaj   +2 more sources

A Monocular Depth Estimation Method for Autonomous Driving Vehicles Based on Gaussian Neural Radiance Fields [PDF]

Sensors
Monocular depth estimation is one of the key tasks in autonomous driving, which derives depth information of the scene from a single image. And it is a fundamental component for vehicle decision-making and perception.
Ziqin Nie, Zhouxing Zhao, Jieying Pan, Yilong Ren, Haiyang Yu, Liang Xu   +5 more
doaj   +2 more sources

AMENet is a monocular depth estimation network designed for automatic stereoscopic display [PDF]

Scientific Reports
Monocular depth estimation has a wide range of applications in the field of autostereoscopic displays, while accuracy and robustness in complex scenes are still a challenge.
Tianzhao Wu, Zhongyi Xia, Man Zhou, Ling Bing Kong, Zengyuan Chen   +4 more
doaj   +2 more sources

Survey on Monocular Metric Depth Estimation

Computers
Monocular metric depth estimation (MMDE) aims to generate depth maps with an absolute metric scale from a single RGB image, which enables accurate spatial understanding, 3D reconstruction, and autonomous navigation.
Jiuling Zhang, Yurong Wu, Huilong Jiang
doaj   +3 more sources

Monocular Depth Estimation using Transfer learning-An Overview [PDF]

E3S Web of Conferences, 2021
Depth estimation is a computer vision technique that is critical for autonomous schemes for sensing their surroundings and predict their own condition.
Swaraja K., Akshitha V., Pranav K., Vyshnavi B., Sai Akhil V., Meenakshi K., Kora Padmavathi, Valiveti Himabindu, Duggineni Chaitanya   +8 more
doaj   +1 more source

Lightweight monocular depth estimation using a fusion-improved transformer. [PDF]

Sci Rep
Sui X, Gao S, Xu A, Zhang C, Wang C, Shi Z.   +5 more
europepmc   +3 more sources

CNN Based Monocular Depth Estimation [PDF]

E3S Web of Conferences, 2021
In several applications, such as scene interpretation and reconstruction, precise depth measurement from images is a significant challenge. Current depth estimate techniques frequently provide fuzzy, low-resolution estimates.
Swaraja K., Naga Siva Pavan K., Suryakanth Reddy S., Ajay K., Uday Kiran Reddy P., Kora Padmavathi, Meenakshi K., Chaitanya Duggineni, Valiveti Himabindu   +8 more
doaj   +1 more source

Monocular Depth Estimation Using Deep Learning: A Review [PDF]

Sensors, 2022
Armin Masoumian, Hesham Rashwan, Julián Cristiano   +2 more
exaly   +2 more sources

Lightweight Monocular Depth Estimation

CoRR, 2022
Monocular depth estimation can play an important role in addressing the issue of deriving scene geometry from 2D images. It has been used in a variety of industries, including robots, self-driving cars, scene comprehension, 3D reconstructions, and others.
Ruilin Ma, Shiyao Chen, Qin Zhang
openaire   +2 more sources

The Monocular Depth Estimation Challenge

2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2023
WACV-Workshops ...
Jaime Spencer, C. Stella Qian, Chris Russell 0001, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang 0002, Fabio Tosi, Hao Wang, Youmin Zhang 0008, Yusheng Zhang, Chaoqiang Zhao   +18 more
openaire   +2 more sources