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Haiyuan Cao, Deng Chen, Zhaohui Zheng, Yanduo Zhang, Huabing Zhou and Jianping Ju
Point cloud registration has a wide range of applications in 3D reconstruction, pose estimation, intelligent driving, heritage conservation, and digital cities. The traditional iterative closest point (ICP) algorithm has strong dependence on the initial ...
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Munir Ahmad, Sagheer Abbas, Areej Fatima, Ghassan F. Issa, Taher M. Ghazal and Muhammad Adnan Khan
The importance of accurate livestock identification for the success of modern livestock industries cannot be overstated as it is essential for a variety of purposes, including the traceability of animals for food safety, disease control, the prevention o...
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Huapeng Tang, Danyang Qin, Jiaqiang Yang, Haoze Bie, Yue Li, Yong Zhu and Lin Ma
In indoor low-light environments, the lack of light makes the captured images often suffer from quality degradation problems, including missing features in dark areas, noise interference, low brightness, and low contrast. Therefore, the feature extractio...
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Taoyong Li, Chunlei Xia, Ming Yu, Panpan Tang, Wei Wei and Dongmei Zhang
Automatic charging for electric vehicles has broad development prospects for meeting the personalized service experience of users while overcoming the inherent safety hazards. An identification and positioning approach suitable for engineering applicatio...
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Ping Zheng, Danyang Qin, Bing Han, Lin Ma and Teklu Merhawit Berhane
In the process of indoor visual positioning and navigation, difficult points often exist in corridors, stairwells, and other scenes that contain large areas of white walls, strong consistent background, and sparse feature points. Aiming at the problem of...
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Hua-Zhen Zhang, Dong-Won Kim, Tae-Koo Kang and Myo-Taeg Lim
We propose a local feature descriptor based on moment. Although conventional scale invariant feature transform (SIFT)-based algorithms generally use difference of Gaussian (DoG) for feature extraction, they remain sensitive to more complicated deformatio...
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Fadhil Khadyer Alsheikh,Dr Israa Hadi Ali
The process of detecting hidden weapons is an important process right now due to the increase in terrorist operations, so the process of building an automatic weapons detection system is an important process to reduce errors resulting from manual detecti...
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Fang-Ju Jao, Hone-Jay Chu and Yi-Hsing Tseng
Historical aerial images are important to retain past ground surface information. The land-use land-cover change in the past can be identified using historical aerial images. Automatic historical image registration and stitching is essential because the ...
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