Results 161 to 170 of about 26,254 (190)

Monocular Depth Estimation: A Thorough Review

IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of depth in two-dimensional images is among the challenging topics in Computer Vision. This is a well-studied but also an ill-posed problem, which has long been the focus of intense research. This paper is an in-depth review of the topic, presenting two aspects, one that considers the mechanisms of human depth perception, and another that ...
Vasileios Arampatzakis, George Pavlidis, Nikolaos Mitianoudis, Nikos Papamarkos   +3 more
openaire   +2 more sources

Densely Connecting Depth Maps for Monocular Depth Estimation

2020
Predicting depth map from a single RGB image is beneficial for many three-dimensional applications. Although recent monocular depth estimation methods have achieved impressive accuracy, the preference on high-level features or low-level features prevents them from balancing sharpness and fidelity of depth maps.
Jinqing Zhang, Haosong Yue, Xingming Wu, Weihai Chen, Changyun Wen   +4 more
openaire   +1 more source

A Synopsis of Monocular Depth Estimation

2021
Depth information is necessary for automated devices or software to accomplish tasks which require the knowledge of the surrounding environment without error. Monocular depth estimation uses a single 2D image to estimate depth, which makes it an exigent method. However, recent studies in monocular depth estimation based on convolutional neural networks
Shubham Chaudhari, Aaryamaan Rao, Rohit Vardam, Mandar Sohani   +3 more
openaire   +1 more source

Monocular Depth Estimation: A Survey

IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Dong Wang, Zhong Liu, Shuwei Shao, Xingming Wu, Weihai Chen, Zhengguo Li   +5 more
openaire   +1 more source

Sparse depth densification for monocular depth estimation

Multimedia Tools and Applications, 2023
Zhen Liang, Tiyu Fang, Yanzhu Hu, Yingjian Wang   +3 more
openaire   +1 more source

Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals

IEEE Transactions on Circuits and Systems for Video Technology, 2021
Minsoo Song, Seokjae Lim, Wonjun Kim
exaly  

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
René Ranftl, Katrin Lasinger, David Hafner   +2 more
exaly  

Deep learning for monocular depth estimation: A review

Neurocomputing, 2021
Hui Yu
exaly  

Unsupervised Monocular Depth Estimation via Recursive Stereo Distillation

IEEE Transactions on Image Processing, 2021
Xinchen Ye, Zhenzhen Fan, Mingliang Zhang   +2 more
exaly  

Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue

Medical Image Analysis, 2022
Zhongcai Pei, Weihai Chen, Xingming Wu
exaly