Results 31 to 40 of about 3,462,291 (207)
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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The role of monocularly visible regions in depth and surface perception [PDF]
, 2009 The mainstream of binocular vision research has long been focused on understanding how binocular disparity is used for depth perception. In recent years, researchers have begun to explore how monocular regions in binocularly viewed scenes contribute to ...
Harris, Julie +3 more
core +1 more source
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
doaj +1 more source
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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Perceptual integration across natural monocular regions [PDF]
, 2014 Natural scenes contain hidden regions, or occlusions, that differ in the two eyes, resulting in monocular regions that can only be seen by one eye. Such monocular regions appear to not be suppressed but seem to be integrated into the scene percept.
Harris, Julie +5 more
core +1 more source
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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Avoiding negative depth in inverse depth bearing-only SLAM [PDF]
, 2008 In this paper we consider ways to alleviate negative estimated depth for the inverse depth parameterisation of bearing-only SLAM. This problem, which can arise even if the beacons are far from the platform, can cause catastrophic failure of the filter.We
Parsley, MP +3 more
core +1 more source
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 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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