18   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
Jian Ni, Rui Wang and Jing Tang    
The detection of small objects is easily affected by background information, and a lack of context information makes detection difficult. Therefore, small object detection has become an extremely challenging task. Based on the above problems, we proposed... ver más
Revista: Applied Sciences    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
Xunli Zeng, Xiaoli Liu and Jianqin Yin    
Amodal segmentation is a new direction of instance segmentation while considering the segmentation of the visible and occluded parts of the instance. The existing state-of-the-art method uses multi-task branches to predict the amodal part and the visible... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jingyuan Hu and Zhouwang Yang    
Head detection is a fundamental task, and it plays an important role in many head-related problems. The difficulty in creating the local and global context in the face of significant lighting, orientation, and occlusion uncertainty, among other factors, ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Mohammed N. Islam, Tianqu Zhai, Alexander Dobre, Cynthia N. Meah, Ioulia Kovelman, Steven Broglio, Daniel A. Beard, Xiaosu Hu, Jacob R. Joseph, Yamaan S. Saadeh, Rachel Russo and Hasan B. Alam    
We present a novel, noninvasive, super-continuum infrared spectroscopy of cytochrome c oxidase (SCISCCO) system for simultaneously measuring hemodynamic and metabolic parameters, and we demonstrate its utility by applying it to lab calibration tests, hum... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shenming Qu, Huafei Zhou, Bo Zhang and Shengbin Liang    
Extracting roads from remote sensing images can support a range of geo-information applications. However, it is challenging due to factors such as the complex distribution of ground objects and occlusion of buildings, trees, shadows, etc. Pixel-wise clas... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shengbo Chen, Hongchang Zhang and Zhou Lei    
Person re-identification (ReID) plays a significant role in video surveillance analysis. In the real world, due to illumination, occlusion, and deformation, pedestrian features extraction is the key to person ReID. Considering the shortcomings of existin... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Steven Bouma, Christophe Hurter and Alexandru Telea    
Creating simplified visualizations of large 3D trail sets with limited occlusion and preservation of the main structures in the data is challenging. We address this challenge for the specific context of 3D fiber trails created by DTI tractography. For th... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Wancheng Zhang, Yanmin Luo, Zhi Chen, Yongzhao Du, Daxin Zhu and Peizhong Liu    
Discriminative correlation filters (DCFs) have been shown to perform superiorly in visual object tracking. However, visual tracking is still challenging when the target objects undergo complex scenarios such as occlusion, deformation, scale changes and i... ver más
Revista: Algorithms    Formato: Electrónico

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