Results 11 to 20 of about 3,676,418 (303)

The Monocular Depth Estimation Challenge [PDF]

open access: yes2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2023
WACV-Workshops ...
Jaime Spencer   +18 more
openaire   +5 more sources

Monocular Depth Estimation Based on Multi-Scale Depth Map Fusion

open access: yesIEEE Access, 2021
Monocular depth estimation is a basic task in machine vision. In recent years, the performance of monocular depth estimation has been greatly improved. However, most depth estimation networks are based on a very deep network to extract features that lead
Xin Yang   +4 more
doaj   +1 more source

Depth Estimation Based on Scene Object Attention and Depth Map Fusion [PDF]

open access: yesJisuanji gongcheng, 2023
The existing monocular depth estimation algorithm mainly obtains stereo information from a single image.This approach leads to blurred details of adjacent depth edges and apparent missing objects.A monocular depth estimation algorithm based on scene ...
WEN Jing, YANG Jie
doaj   +1 more source

MONOCULAR DEPTH ESTIMATION FOR NIGHT-TIME IMAGES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Depth estimation plays a pivotal role in numerous computer vision applications. However, depth estimation networks trained exclusively on daytime images tend to yield poor performance when applied to nighttime scenarios due to domain differences and ...
N. Khalefa, N. El-Sheimy
doaj   +1 more source

RADepthNet: Reflectance-Aware Monocular Depth Estimation

open access: yesVirtual Reality & Intelligent Hardware, 2022
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   +1 more source

Dense metal corrosion depth estimation

open access: yesFrontiers in Physics, 2023
Introduction: Metal corrosion detection is important for protecting lives and property. X-ray inspection systems are widely used because of their good penetrability and visual presentation capability.
Yanping Li   +4 more
doaj   +1 more source

Monocular Depth Estimation using Transfer learning-An Overview [PDF]

open access: yesE3S Web of Conferences, 2021
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   +1 more source

Semantic Segmentation Leveraging Simultaneous Depth Estimation

open access: yesSensors, 2021
Semantic segmentation is one of the most widely studied problems in computer vision communities, which makes a great contribution to a variety of applications.
Wenbo Sun   +5 more
doaj   +1 more source

Depth estimation and validation of plenoptic light field camera

open access: yes, 2023
A light field (LF) camera can record both the spatial and directional information of light rays in a three-dimensional (3D) scene. This is different from traditional photography, which sums up all the light rays to record their intensity and discard the ...
Hossain, Md. Moinul   +4 more
core   +1 more source

Underwater Depth Estimation for Spherical Images

open access: yesJournal of Robotics, 2021
This paper proposes a method for monocular underwater depth estimation, which is an open problem in robotics and computer vision. To this end, we leverage publicly available in-air RGB-D image pairs for underwater depth estimation in the spherical domain
Jiadi Cui   +4 more
doaj   +1 more source

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