The Monocular Depth Estimation Challenge [PDF]
WACV-Workshops ...
Jaime Spencer +18 more
openaire +5 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
Faisal Khan +2 more
doaj +3 more sources
RADepthNet: Reflectance-Aware Monocular Depth Estimation
Background: Monocular depth estimation aims to predict the dense depth map from a single RGB image, which has important applications in 3D reconstruction, automatic driving, and augmented reality.
Chuxuan Li +7 more
doaj +3 more sources
Monocular Depth Estimation using Transfer learning-An Overview [PDF]
Depth estimation is a computer vision technique that is critical for autonomous schemes for sensing their surroundings and predict their own condition.
Swaraja K. +8 more
doaj +2 more sources
DTS-Depth: Real-Time Single-Image Depth Estimation Using Depth-to-Space Image Construction
As most of the recent high-resolution depth-estimation algorithms are computationally so expensive that they cannot work in real time, the common solution is using a low-resolution input image to reduce the computational complexity.
Hatem Ibrahem +2 more
doaj +2 more sources
Depth estimation and depth enhancement by diffusion of depth features
Current trends in video technology indicate a significant increase in spatial and temporal resolution of video data. Recently, a linear-runtime feature diffusion algorithm was presented which aims for fast and accurate processing of such high resolution data.
Nikolce Stefanoski +4 more
openaire +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
ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation [PDF]
14 pages, 11 figure, 13 ...
Ruijie Zhu 0002 +5 more
core +5 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

