Results 1 to 10 of about 3,676,418 (303)
Consistent video depth estimation [PDF]
We present an algorithm for reconstructing dense, geometrically consistent depth for all pixels in a monocular video. We leverage a conventional structure-from-motion reconstruction to establish geometric constraints on pixels in the video. Unlike the ad-hoc priors in classical reconstruction, we use a learning-based prior, i.e., a convolutional neural
Jia-Bin Huang
exaly +4 more sources
Deep Learning-Based Monocular Depth Estimation Methods—A State-of-the-Art Review
Monocular depth estimation from Red-Green-Blue (RGB) images is a well-studied ill-posed problem in computer vision which has been investigated intensively over the past decade using Deep Learning (DL) approaches. The recent approaches for monocular depth
Hossein Javidnia +2 more
exaly +3 more sources
Monocular Depth Estimation With Augmented Ordinal Depth Relationships [PDF]
10 ...
Ke Xian +2 more
exaly +5 more sources
Single image depth estimation: An overview [PDF]
We review solutions to the problem of depth estimation, arguably the most important subtask in scene understanding. We focus on the single image depth estimation problem. Due to its properties, the single image depth estimation problem is currently best tackled with machine learning methods, most successfully with convolutional neural networks.
Gozde Ünal +2 more
exaly +3 more sources
Underwater target depth estimation: A shallow-water broadband acoustic source depth estimation method based on corrected warping transformation. [PDF]
A broadband sound source depth estimation method based on the BDRM model is proposed for the shallow sea to address the problem that the traditional Warping transform is limited by the ideal waveguide and cannot handle the real marine environment ...
Du Siqi, Han Dong, Liu Cong, Li Sidi
doaj +2 more sources
Parallel Multi-Scale Semantic-Depth Interactive Fusion Network for Depth Estimation [PDF]
Self-supervised depth estimation from monocular image sequences provides depth information without costly sensors like LiDAR, offering significant value for autonomous driving. Although self-supervised algorithms can reduce the dependence on labeled data,
Chenchen Fu +5 more
doaj +2 more sources
EVALUATING MONOCULAR DEPTH ESTIMATION METHODS [PDF]
Depth estimation from monocular images has become a prominent focus in photogrammetry and computer vision research. Monocular Depth Estimation (MDE), which involves determining depth from a single RGB image, offers numerous advantages, including ...
N. Padkan +6 more
doaj +1 more source
CNN Based Monocular Depth Estimation [PDF]
In several applications, such as scene interpretation and reconstruction, precise depth measurement from images is a significant challenge. Current depth estimate techniques frequently provide fuzzy, low-resolution estimates.
Swaraja K. +8 more
doaj +1 more source
MONOCULAR DEPTH ESTIMATION IN FOREST ENVIRONMENTS [PDF]
Depth estimation from a single image is a challenging task, especially inside the highly structured forest environment. In this paper, we propose a supervised deep learning model for monocular depth estimation based on forest imagery.
H. Hristova +3 more
doaj +1 more source
Monocular Human Depth Estimation Via Pose Estimation
We propose a novel monocular depth estimator, which improves the prediction accuracy on human regions by utilizing pose information. The proposed algorithm consists of two networks — PoseNet and DepthNet — to estimate keypoint heatmaps and ...
Jinyoung Jun +3 more
doaj +1 more source

