Results validate that the combinations of different feature detectors and descriptors balance well the accuracy and runtime. This will provide references for ...
This paper presents an accurate, real-time skyline detection algorithm for Unmanned Aerial Vehicle (UAV). On the basis of the actual situation, a functional ...
Exploring the most appropriate feature detector and descriptor algorithm for on-board UAV image processing. ∗. Boxin Zhao, Tianjiang Hu, Yifeng Niu, Dengqing ...
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Exploring the most appropriate feature detector and descriptor algorithm for on-board UAV image processing · pdf icon · hmtl icon · Boxin Zhao, Tianjiang Hu ...
May 6, 2023 · Object detection is a critical task that becomes difficult when dealing with onboard detection using aerial images and computer vision technique.
In this work, we present LoFTRS, a deep learning-based image matching framework that integrates semantic constraints into the matching process.
Exploring the most appropriate feature detector and descriptor algorithm for on-board UAV image processing · Boxin ZhaoTianjiang Hu +4 authors. Lincheng Shen.
The purpose of this study is to give a detailed performance comparison about the feature detector and descriptor methods, particularly when their various ...
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This paper proposes an image matching method based on image scale-invariant features for UAV pose guidance during hovering operation.
May 11, 2016 · Feature matching is performed by comparing the descriptors using suitable similarity measure. There are another variants of the term "feature" ...
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