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