[HTML][HTML] A survey of state-of-the-art on visual SLAM

IA Kazerouni, L Fitzgerald, G Dooly, D Toal - Expert Systems with …, 2022 - Elsevier
This paper is an overview to Visual Simultaneous Localization and Mapping (V-SLAM). We
discuss the basic definitions in the SLAM and vision system fields and provide a review of …

A review of visual SLAM methods for autonomous driving vehicles

J Cheng, L Zhang, Q Chen, X Hu, J Cai - Engineering Applications of …, 2022 - Elsevier
Autonomous driving vehicles require both a precise localization and mapping solution in
different driving environment. In this context, Simultaneous Localization and Mapping …

Image matching from handcrafted to deep features: A survey

J Ma, X Jiang, A Fan, J Jiang, J Yan - International Journal of Computer …, 2021 - Springer
As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

A review of multimodal image matching: Methods and applications

X Jiang, J Ma, G Xiao, Z Shao, X Guo - Information Fusion, 2021 - Elsevier
Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …

Face recognition systems: A survey

Y Kortli, M Jridi, A Al Falou, M Atri - Sensors, 2020 - mdpi.com
Over the past few decades, interest in theories and algorithms for face recognition has been
growing rapidly. Video surveillance, criminal identification, building access control, and …

Image matching across wide baselines: From paper to practice

Y Jin, D Mishkin, A Mishchuk, J Matas, P Fua… - International Journal of …, 2021 - Springer
We introduce a comprehensive benchmark for local features and robust estimation
algorithms, focusing on the downstream task—the accuracy of the reconstructed camera …

The revisiting problem in simultaneous localization and mapping: A survey on visual loop closure detection

KA Tsintotas, L Bampis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …

A guide to convolutional neural networks for computer vision

S Khan, H Rahmani, SAA Shah, M Bennamoun… - 2018 - Springer
Computer vision has become increasingly important and effective in recent years due to its
wide-ranging applications in areas as diverse as smart surveillance and monitoring, health …

Silk: Simple learned keypoints

P Gleize, W Wang, M Feiszli - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Keypoint detection & descriptors are foundational technologies for computer vision tasks like
image matching, 3D reconstruction and visual odometry. Hand-engineered methods like …

Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection–A review

D Feng, MQ Feng - Engineering Structures, 2018 - Elsevier
To address the limitations of current sensor systems for field applications, the research
community has been actively exploring new technologies that can advance the state-of-the …