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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2968339
Abstract: The robustness and accuracy of feature descriptor are two essential factors in the process of image registration. Existing feature descriptors can extract important image features, but it may be difficult to find enough correct correspondences…
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Keywords:
feature descriptors;
feature descriptor;
feature;
image ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2995369
Abstract: Aiming to problems in the pairwise registration of point clouds, such as keypoints are difficult to describe accurately, corresponding points are difficult to match accurately and convergence speed is slow due to uncertainty of initial…
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Keywords:
registration;
point clouds;
pairwise registration;
feature descriptor ... See more keywords
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Published in 2023 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3233535
Abstract: Breast cancer was the most commonly diagnosed cancer among women worldwide in 2020. Recently, several deep learning-based classification approaches have been proposed to screen breast cancer in mammograms. However, most of these approaches require additional…
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Keywords:
feature descriptor;
classification;
descriptor selection;
feature ... See more keywords
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Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2922826
Abstract: In this paper, we propose a compact and low-complexity binary feature descriptor for video analytics. Our binary descriptor encodes the motion information of a spatio-temporal support region into a low-dimensional binary string. The descriptor is…
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Keywords:
low complexity;
compact low;
feature descriptor;
feature ... See more keywords
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Published in 2021 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.30.2.023008
Abstract: Abstract. 3D object recognition from point clouds is a fast-growing field of research in computer vision. 3D object recognition methods can be classified into two categories: global feature-based and local feature-based methods. The local feature-based…
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Keywords:
feature based;
feature descriptor;
feature;
discrete first ... See more keywords
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Published in 2018 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2018.0831.04
Abstract: Tracking plays an important role to analyze the action of players, i.e movement of players and path corresponding to this movement. In recent years, the number of approaches to detecting players throughout the monocular image…
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Keywords:
feature;
intense occlusion;
identity;
descriptor based ... See more keywords