Results 21 to 30 of about 744 (143)
Unsupervised Learning of Monocular Depth Estimation:A Survey [PDF]
Jisuanji kexueAs the key point of 3D reconstruction,automatic driving and visual SLAM,depth estimation has always been a hot research direction in the field of computer vision,among which,monocular depth estimation technology based on unsupervised learning has been ...
CAI Jiacheng, DONG Fangmin, SUN Shuifa, TANG Yongheng
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Wearable Depth Camera: Monocular Depth Estimation via Sparse Optimization Under Weak Supervision
IEEE Access, 2018 Depth estimation is essential for many human-object interaction tasks. Despite its advantages, traditional depth sensors, including Kinect or depth camera, are always not wearable-friendly due to several critical drawbacks, such as over-size or over ...
Li He +4 more
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Monocular Depth Estimation with Sharp Boundary
2022 8th International Conference on Virtual Reality (ICVR), 2022 20 pages,9 ...
Xin Yang +3 more
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Monocular Visual-Inertial Depth Estimation
2023 IEEE International Conference on Robotics and Automation (ICRA), 2023 We present a visual-inertial depth estimation pipeline that integrates monocular depth estimation and visual-inertial odometry to produce dense depth estimates with metric scale. Our approach performs global scale and shift alignment against sparse metric depth, followed by learning-based dense alignment. We evaluate on the TartanAir and VOID datasets,
Diana Wofk +3 more
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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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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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Qualitative Estimation of Depth in Monocular Vision [PDF]
, 2001 In this paper we propose two techniques to qualitatively estimate distance in monocular vision. Two kinds of approaches are described, the former based on texture analysis and the latter on histogram inspection. Although both the methods allow only to determine whether a point within an image is nearer or farther than another with respect to the ...
CANTONI, VIRGINIO +3 more
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Aperture Supervision for Monocular Depth Estimation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 We present a novel method to train machine learning algorithms to estimate scene depths from a single image, by using the information provided by a camera's aperture as supervision. Prior works use a depth sensor's outputs or images of the same scene from alternate viewpoints as supervision, while our method instead uses images from the same viewpoint ...
Pratul P. Srinivasan +4 more
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On the Uncertainty of Self-Supervised Monocular Depth Estimation [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 CVPR 2020.
M. Poggi +3 more
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