Multi-level features extraction for discontinuous target tracking in remote sensing image monitoring
B Zhou, X Duan, D Ye, W Wei, M Woźniak, D Połap… - Sensors, 2019 - mdpi.com
Many techniques have been developed for computer vision in the past years. Features
extraction and matching are the basis of many high-level applications. In this paper, we …
extraction and matching are the basis of many high-level applications. In this paper, we …
A new productive framework for point‐based matching of oblique aircraft and UAV‐based images
S Bas, AO Ok - The Photogrammetric Record, 2021 - Wiley Online Library
A novel productive framework for point‐based feature matching of oblique aircraft and UAV
imagery is presented. The proposed framework makes use of the powerful AKAZE descriptor …
imagery is presented. The proposed framework makes use of the powerful AKAZE descriptor …
Developing an expansion‐based obstacle detection using panoptic segmentation
Abstract Safe Micro Aerial Vehicle (MAV) navigation requires detecting and avoiding
obstacles. For safe MAV navigation, expansion‐based algorithms are effective for detecting …
obstacles. For safe MAV navigation, expansion‐based algorithms are effective for detecting …
[HTML][HTML] Distributed High-Speed Videogrammetry for Real-Time 3D Displacement Monitoring of Large Structure on Shaking Table
The accurate and timely acquisition of high-frequency three-dimensional (3D) displacement
responses of large structures is crucial for evaluating their condition during seismic …
responses of large structures is crucial for evaluating their condition during seismic …
An adaptive local descriptor embedding zernike moments for image matching
B Zhou, XM Duan, W Wei, DJ Ye, M Woźniak… - IEEE …, 2019 - ieeexplore.ieee.org
Image matching is an important problem in computer vision and many technologies based
on local descriptors have been developed. In this paper, we propose a novel local features …
on local descriptors have been developed. In this paper, we propose a novel local features …
Sift-aid: boosting sift with an affine invariant descriptor based on convolutional neural networks
The classic approach to image matching consists in the detection, description and matching
of keypoints. The descriptor encodes the local information around the keypoint. An …
of keypoints. The descriptor encodes the local information around the keypoint. An …
Heterogeneous image matching via a novel feature describing model
B Zhou, X Duan, D Ye, W Wei, M Woźniak… - Applied Sciences, 2019 - mdpi.com
Computer vision has been developed greatly in the past several years, and many useful and
interesting technologies have been presented and widely applied. Image matching is an …
interesting technologies have been presented and widely applied. Image matching is an …
Feature matching and heat flow in centro-affine geometry
In this paper, we study the differential invariants and the invariant heat flow in centro-affine
geometry, proving that the latter is equivalent to the inviscid Burgers' equation. Furthermore …
geometry, proving that the latter is equivalent to the inviscid Burgers' equation. Furthermore …
Robust estimation of local affine maps and its applications to image matching
The classic approach to image matching consists in the detection, description and matching
of keypoints. This defines a zero-order approximation of the mapping between two images …
of keypoints. This defines a zero-order approximation of the mapping between two images …
Improved Image matching method based on affine transformation using nadir and oblique-looking drone imagery
Drone has been widely used for many applications ranging from amateur and leisure to
professionals to get fast and accurate 3-D information of the surface of the interest. Most of …
professionals to get fast and accurate 3-D information of the surface of the interest. Most of …