|
|
|
|
|
Houssem R. E. H. Bouchekara, Bashir O Sadiq, Sikiru O Zakariyya, Yusuf A. Sha?aban, Mohammad S. Shahriar and Musab M. Isah
Images taken by drones often must be preprocessed and stitched together due to the inherent noise, narrow imaging breadth, flying height, and angle of view. Conventional UAV feature-based image stitching techniques significantly rely on the quality of fe...
ver más
|
|
|
|
|
|
|
|
|
|
|
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 ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Dong, Fangjian Liu, Mingchao Han and Hongjian You
Multi-detector parallel scanning is derived from the traditional airborne panorama camera, and it has a great lateral field of view. A wide field-of-view camera can be used to obtain an area of remote sensing image by whisk broom mood during the flight. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Quan Sun, Xuhui Pan, Xiao Ling, Bo Wang, Qinghong Sheng, Jun Li, Zhijun Yan, Ke Yu and Jiasong Wang
In the realm of non-cooperative space security and on-orbit service, a significant challenge is accurately determining the pose of abandoned satellites using imaging sensors. Traditional methods for estimating the position of the target encounter problem...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guobiao Yao, Jin Zhang, Jianya Gong and Fengxiang Jin
To promote the development of deep learning for feature matching, image registration, and three-dimensional reconstruction, we propose a method of constructing a deep learning benchmark dataset for affine-invariant feature matching. Existing images often...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Manuel Antonio Ureña-Cámara and Antonio Tomás Mozas-Calvache
This study describes a new algorithm developed to detect local cells of minimum or maximum heights in grid Digital Elevation Models (DEMs). DEMs have a low variance in digital levels due to the spatial continuity of the data. Traditional algorithms, such...
ver más
|
|
|
|
|
|
|
|
|
|
|
Patrice Koehl and Henri Orland
A new algorithm is presented to compute nonrigid, possibly partial comparisons of shapes defined by unstructured triangulations of their surfaces. The algorithm takes as input a pair of surfaces with each surface given by a distinct and unrelated triangu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed Amin Belarbi, Saïd Mahmoudi, Ghalem Belalem, Sidi Ahmed Mahmoudi and Aurélie Cools
Indexing images by content is one of the most used computer vision methods, where various techniques are used to extract visual characteristics from images. The deluge of data surrounding us, due the high use of social and diverse media acquisition syste...
ver más
|
|
|
|
|
|