Results 41 to 50 of about 6,226 (231)
Aperture Supervision for Monocular Depth Estimation [PDF]
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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Unsupervised Learning of Monocular Depth Estimation:A Survey [PDF]
As 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
doaj +1 more source
Wearable Depth Camera: Monocular Depth Estimation via Sparse Optimization Under Weak Supervision
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
20 pages,9 ...
Xin Yang +3 more
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Semantically guided self‐supervised monocular depth estimation
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
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
doaj +1 more source
Learn to Adapt for Monocular Depth Estimation
Monocular depth estimation is one of the fundamental tasks in environmental perception and has achieved tremendous progress in virtue of deep learning. However, the performance of trained models tends to degrade or deteriorate when employed on other new datasets due to the gap between different datasets.
Qiyu Sun +3 more
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Qualitative Estimation of Depth in Monocular Vision [PDF]
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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On the Metrics for Evaluating Monocular Depth Estimation
11 pages, 8 ...
Akhil Gurram, Antonio M. López 0001
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On the Uncertainty of Self-Supervised Monocular Depth Estimation [PDF]
CVPR 2020.
M. Poggi +3 more
openaire +2 more sources

