Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Shengpeng Fu"'
Publikováno v:
IET Image Processing, Vol 18, Iss 14, Pp 4680-4694 (2024)
Abstract Unsupervised person re‐identification has attracted vital interest because of its ability to protect privacy, significantly lower the expense of manual annotation, and eliminate the need for data labels. General unsupervised methods train
Externí odkaz:
https://doaj.org/article/ab58904a767948b5b2c61f25e91de759
Publikováno v:
IEEE Transactions on Industrial Informatics. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::772883644fef7f5f456f8b7c4baf519b
https://doi.org/10.1109/tii.2023.3266372
https://doi.org/10.1109/tii.2023.3266372
Publikováno v:
Applied Engineering in Agriculture. 38:573-581
HighlightsA Remote Sensing Cage Segmentation (RSCS) dataset is constructed.The SegNet network is introduced to achieve precise segmentation.Random cropping, data augmentation, and three-channel separation operations are used to construct the training
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1681fd6643e222933e5dc366b7f47cc6
https://doi.org/10.13031/aea.14878
https://doi.org/10.13031/aea.14878
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aade0fedf5ea4dc3081119f099d85a7d
https://doi.org/10.2139/ssrn.4229869
https://doi.org/10.2139/ssrn.4229869
Publikováno v:
Intelligent Robotics and Applications ISBN: 9783031138409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a3aed1ca7795bec6d44529275726900
https://doi.org/10.1007/978-3-031-13841-6_15
https://doi.org/10.1007/978-3-031-13841-6_15
Publikováno v:
Measurement. 207:112361
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f7453e6bd914a237b1df5892ba09ba5
https://doi.org/10.1016/j.measurement.2022.112361
https://doi.org/10.1016/j.measurement.2022.112361
Publikováno v:
Measurement Science and Technology. 34:015906
3D scanning is a crucial step to ensuring the machining quality of the workpiece and is an essential part of intelligent manufacturing. However, existing scanning systems usually have only one profiler, which must be combined with a dynamic tracking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a09592bc366b7bf4b0c5f833344c58a
https://doi.org/10.1088/1361-6501/ac9076
https://doi.org/10.1088/1361-6501/ac9076
Publikováno v:
2021 3rd International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT).
In order to realize the intelligent inspection of bend tube processing defects, such as the wrinkles and the ovality, a 3D scanning device composed of a linear translation stage and four uniformly distributed laser profilers (LPs) is built in this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::364d5030f3bf3c880c089902c1fff097
https://doi.org/10.1109/isrimt53730.2021.9596751
https://doi.org/10.1109/isrimt53730.2021.9596751
Publikováno v:
2021 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA).
The precise parameter calibration of the camera is the prerequisite for computer vision applications. A fully automatic camera calibration method based on projective transformation is proposed. A calibration board containing two kinds of circles is u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0478e290ab93d81b5206468a6a96ffb8
https://doi.org/10.1109/aeeca52519.2021.9574237
https://doi.org/10.1109/aeeca52519.2021.9574237
Publikováno v:
2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC).
This paper presents an integrated calibration method for seam tracker based on planar calibration plate, which can obtain all parameters of the tracker in one calibration. Firstly, a calibration plate is placed in the field of view of the camera to o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::457d9da9f78e7dc3ecf6d8fdb5bc6c06
https://doi.org/10.1109/ctisc52352.2021.00073
https://doi.org/10.1109/ctisc52352.2021.00073