|
|
|
|
|
Zilu Zhao, Hui Long and Hongjian You
Satellite remote sensing has entered the era of big data due to the increase in the number of remote sensing satellites and imaging modes. This presents significant challenges for the processing of remote sensing systems and will result in extremely high...
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Indrabayu Indrabayu,Ingrid Nurtanio,Intan Sari Areni,Sri R.A Bugiwati,Anugrayani Bustamin,Muhammad Rahmatullah
Pág. pp. 134 - 149
This research focuses on developing an Android-based cattle identification system that is applicable and easy to use. This system uses a Scale Invariant Feature Transform (SIFT) algorithm to extract features from the muzzle images, and Random Sample Cons...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ibrahim Furkan Ince
Human activity recognition (HAR) has been an active area in computer vision with a broad range of applications, such as education, security surveillance, and healthcare. HAR is a general time series classification problem. LSTMs are widely used for time ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ali Ismail Awad and M. Hassaballah
Cattle, buffalo and cow identification plays an influential role in cattle traceability from birth to slaughter, understanding disease trajectories and large-scale cattle ownership management. Muzzle print images are considered discriminating cattle biom...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hengfu Yang, Jianping Yin and Mingfang Jiang
Robustness and discriminability are the two most important features of perceptual image hashing (PIH) schemes. In order to achieve a good balance between perceptual robustness and discriminability, a novel PIH algorithm is proposed by combining latent lo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ende Wang, Jinlei Jiao, Jingchao Yang, Dongyi Liang and Jiandong Tian
Keypoint matching is of fundamental importance in computer vision applications. Fish-eye lenses are convenient in such applications that involve a very wide angle of view. However, their use has been limited by the lack of an effective matching algorithm...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qaisar Abbas
The development of a computer-aided diagnosis (CAD) system for differentiation between benign and malignant mammographic masses is a challenging task due to the use of extensive pre- and post-processing steps and ineffective features set. In this paper, ...
ver más
|
|
|
|
|
|