11   Artículos

 
en línea
Yishen Lin, Zifan Huang, Yun Liang, Yunfan Liu and Weipeng Jiang    
Citrus fruits hold pivotal positions within the agricultural sector. Accurate yield estimation for citrus fruits is crucial in orchard management, especially when facing challenges of fruit occlusion due to dense foliage or overlapping fruits. This study... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Kaziwa Saleh, Sándor Szénási and Zoltán Vámossy    
Although current computer vision systems are closer to the human intelligence when it comes to comprehending the visible world than previously, their performance is hindered when objects are partially occluded. Since we live in a dynamic and complex envi... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Nuno Abreu, Andry Pinto, Aníbal Matos and Miguel Pires    
Point cloud processing is an essential task in many applications in the AEC domain, such as automated progress assessment, quality control and 3D reconstruction. As much of the procedure used to process the point clouds is shared among these applications... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Mohammad Mohammadzadeh Babr, Maryam Faghihabdolahi, Danijela Ristic-Durrant and Kai Michels    
Instance segmentation of overlapping plants to detect their grasps for possible robotic grasping presents a challenging task due to the need to address the problem of occlusion. We addressed the problem of occlusion using a powerful convolutional neural ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Tuan-Anh Pham and Myungsik Yoo    
In recent years, vision-based vehicle detection has received considerable attention in the literature. Depending on the ambient illuminance, vehicle detection methods are classified as daytime and nighttime detection methods. In this paper, we propose a ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hua Gao, Shengyong Chen and Zhaosheng Zhang    
Person re-identification is a typical computer vision problem which aims at matching pedestrians across disjoint camera views. It is challenging due to the misalignment of body parts caused by pose variations, background clutter, detection errors, camera... ver más
Revista: Applied Sciences    Formato: Electrónico

 
usuarios registrados
Deng, Yi; Yang, Qiong; Lin, Xueyin; Tang, Xiaoou     Pág. 1068 - 1079

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