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Wenhao Wang, Yun Shi, Wanfu Liu and Zijin Che
Rising labor costs and a workforce shortage have impeded the development and economic benefits of the global grape industry. Research and development of intelligent grape harvesting technologies is desperately needed. Therefore, rapid and accurate identi...
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Yi Yang, Guankang Zhang, Shutao Ma, Zaihua Wang, Houcheng Liu and Song Gu
The accurate detection and counting of flowers ensure the grading quality of the ornamental plants. In automated potted flower grading scenarios, low detection precision, occlusions and overlaps impact counting accuracy. This study proposed a counting me...
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Christine Linnenberg, Benjamin Reimeir, Robert Eberle and Robert Weidner
Occupational shoulder exoskeletons need to provide meaningful torques to achieve the desired support, thereby high pressures can occur within the physical human?machine interface (pHMI) of exoskeletons that may lead to discomfort, pain, or soft tissue in...
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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...
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Haotian You, Yufang Lu and Haihua Tang
Video object detection is an important research direction of computer vision. The task of video object detection is to detect and classify moving objects in a sequence of images. Based on the static image object detector, most of the existing video objec...
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Oliver Büker and Krister Stolt
In the framework of the ongoing EMPIR JRP 18HLT08 Metrology for Drug Delivery (MeDDII), a main task is to improve dosing accuracy and enable traceable measurements of volume, flow and pressure of existing drug delivery devices and in-line sensors operati...
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Jijun Tong, Shuai Xu, Fangliang Wang and Pengjia Qi
This paper presents a novel method based on a curve descriptor and projection geometry constrained for vessel matching. First, an LM (Leveberg?Marquardt) algorithm is proposed to optimize the matrix of geometric transformation. Combining with parameter a...
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Ling Bai, Yinguo Li and Ming Cen
With the popularity of ground and airborne three-dimensional laser scanning hardware and the development of advanced technologies for computer vision in geometrical measurement, intelligent processing of point clouds has become a hot issue in artificial ...
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Shanshan Luo, Baoqing Li, Xiaobing Yuan and Huawei Liu
The Discriminative Correlation Filter (DCF) has been universally recognized in visual object tracking, thanks to its excellent accuracy and high speed. Nevertheless, these DCF-based trackers perform poorly in long-term tracking. The reasons include the f...
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José-Antonio Cervantes, Sonia López, Salvador Cervantes, Adriana Mexicano and Jonathan-Hernando Rosales
Visuospatial working memory is a fundamental cognitive capability of human beings needed for exploring the visual environment. This cognitive function is responsible for creating visuospatial maps, which are useful for maintaining a coherent and continuo...
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