Results 11 to 20 of about 26,254 (190)

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
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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

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

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   +2 more sources

Monocular Depth Estimation With Augmented Ordinal Depth Relationships [PDF]

IEEE Transactions on Circuits and Systems for Video Technology, 2020
10 ...
Yuanzhouhan Cao, Tianqi Zhao, Ke Xian, Chunhua Shen, Zhiguo Cao, Shugong Xu   +5 more
openaire   +3 more sources

Semi-Supervised Adversarial Monocular Depth Estimation [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
In this paper, we address the problem of monocular depth estimation when only a limited number of training image-depth pairs are available. To achieve a high regression accuracy, the state-of-the-art estimation methods rely on CNNs trained with a large number of image-depth pairs, which are prohibitively costly or even infeasible to acquire.
Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo   +8 more
openaire   +3 more sources

The Second Monocular Depth Estimation Challenge

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Published at ...
Spencer, Jaime, Qian, C. Stella, Trescakova, Michaela, Russell, Chris, Hadfield, Simon, Graf, Erich W., Adams, Wendy J., Schofield, Andrew J., Elder, James, Bowden, Richard, Anwar, Ali, Chen, Hao, Chen, Xiaozhi, Cheng, Kai, Dai, Yuchao, Hoa, Huynh Thai, Hossain, Sadat, Huang, Jianmian, Jing, Mohan, Li, Bo, Li, Chao, Li, Baojun, Liu, Zhiwen, Mattoccia, Stefano, Mercelis, Siegfried, Nam, Myungwoo, Poggi, Matteo, Qi, Xiaohua, Ren, Jiahui, Tang, Yang, Tosi, Fabio, Trinh, Linh, Uddin, S. M. Nadim, Umair, Khan Muhammad, Wang, Kaixuan, Wang, Yufei, Wang, Yixing, Xiang, Mochu, Xu, Guangkai, Yin, Wei, Yu, Jun, Zhang, Qi, Zhao, Chaoqiang   +42 more
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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, Simon Hadfield, Erich Graf, Wendy Adams, Andrew J. Schofield, James Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao   +18 more
openaire   +2 more sources

Lightweight Monocular Depth Estimation

, 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.
Ma, Ruilin, Chen, Shiyao, Zhang, Qin
openaire   +2 more sources