Results 31 to 40 of about 26,254 (190)
Semantically guided self‐supervised monocular depth estimation
IET Image Processing, 2022 Depth information plays an important role in the vision‐related activities of robots and autonomous vehicles. An effective method to obtain 3D scene information is self‐supervised monocular depth estimation, which utilizes large and diverse monocular ...
Xiao Lu +4 more
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Monocular weakly supervised depth and pose estimation method based on multi-information fusion
Kuwait Journal of Science, 2022 Current monocular visual odometry methods usually either require a large amount of expensive ground truth data or require effective training to obtain suboptimal results. This paper presents a weakly supervised monocular depth and camera pose estimation
Zhimin Zhang +2 more
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Depth Map Decomposition for Monocular Depth Estimation
, 2022 We propose a novel algorithm for monocular depth estimation that decomposes a metric depth map into a normalized depth map and scale features. The proposed network is composed of a shared encoder and three decoders, called G-Net, N-Net, and M-Net, which estimate gradient maps, a normalized depth map, and a metric depth map, respectively.
Jinyoung Jun +3 more
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Monocular Depth Estimation Based on Multi-Scale Graph Convolution Networks
IEEE Access, 2020 Monocular depth estimation is a foundation task of three-dimensional (3D) reconstruction which is used to improve the accuracy of environment perception. Because of the simpler hardware requirement, it is more suitable than other multi-view methods.
Junwei Fu, Jun Liang, Ziyang Wang
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Remote Sensing, 2022 Monocular depth estimation is a fundamental yet challenging task in computer vision as depth information will be lost when 3D scenes are mapped to 2D images.
Songnan Chen +4 more
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Unsupervised Monocular Depth Estimation with Left-Right Consistency [PDF]
, 2017 Learning based methods have shown very promising results for the task of depth estimation in single images. However, most existing approaches treat depth prediction as a supervised regression problem and as a result, require vast quantities of ...
Brostow, Gabriel J. +2 more
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Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior [PDF]
2019 IEEE International Conference on Image Processing (ICIP), 2019 Monocular depth estimation using novel learning-based approaches has recently emerged as a promising potential alternative to more conventional 3D scene capture technologies within real-world scenarios. Many such solutions often depend on large quantities of ground truth depth data, which is rare and often intractable to obtain.
Atapour-Abarghouei, A., Breckon, T.P.
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LUMDE: Light-Weight Unsupervised Monocular Depth Estimation via Knowledge Distillation
Applied Sciences, 2022 The use of the unsupervised monocular depth estimation network approach has seen rapid progress in recent years, as it avoids the use of ground truth data, and also because monocular cameras are readily available in most autonomous devices. Although some
Wenze Hu +3 more
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Self-Attention Dense Depth Estimation Network for Unrectified Video Sequences
, 2020 The dense depth estimation of a 3D scene has numerous applications, mainly in robotics and surveillance. LiDAR and radar sensors are the hardware solution for real-time depth estimation, but these sensors produce sparse depth maps and are sometimes ...
Mathew, Alwyn +2 more
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A Kalman filter approach to direct depth estimation incorporating surface structure [PDF]
, 1999 The problem of depth-from-motion using a monocular image sequence is considered. A pixel-based model is developed for direct depth estimation within a Kaiman filtering framework.
Ho, HT, Hung, YS
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