Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Shaoyan Gai"'
Publikováno v:
PLoS ONE, Vol 11, Iss 10, p e0165487 (2016)
A novel calibration method based on polar coordinate is proposed. The world coordinates are expressed in the form of polar coordinates, which are converted to world coordinates in the calibration process. In the beginning, the calibration points are
Externí odkaz:
https://doaj.org/article/6337b3735fdf48d3b856f09518664c00
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22c44b116f562c297cfae9f21cf4d7dd
https://doi.org/10.1109/tim.2023.3256472
https://doi.org/10.1109/tim.2023.3256472
Autor:
Pengcheng Yao, Shaoyan Gai
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4a8ef6c67dcdb7e2c2b02e40c91575b
https://doi.org/10.1109/tim.2022.3173611
https://doi.org/10.1109/tim.2022.3173611
Publikováno v:
IEEE Sensors Journal. 21:23108-23117
In 3D object detection, a lot of works are focused on the characteristics of disorder and sparseness of point cloud. However, few of them directly explore the nonuniformity of point cloud which limits the detection precision. To deal with the problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bef7c9019467d02394cb346d6aa9053a
https://doi.org/10.1109/jsen.2021.3106302
https://doi.org/10.1109/jsen.2021.3106302
Publikováno v:
Optical Engineering. 61
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e38daa748b649dbda211bfe6dc207cd3
https://doi.org/10.1117/1.oe.61.9.094103
https://doi.org/10.1117/1.oe.61.9.094103
Publikováno v:
The Visual Computer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cc94b576c98c2afeb71da91007771c8
https://doi.org/10.1007/s00371-022-02655-3
https://doi.org/10.1007/s00371-022-02655-3
Publikováno v:
Applied Intelligence. 52:3577-3586
For single image super-resolution technology, Convolutional Neural Network (CNN) has an excellent capability to improve reconstruction results. However, the existing CNN-based SR methods maintain high-quality reconstruction with excessive amounts of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a22962d9f87501b661c758637e4cca71
https://doi.org/10.1007/s10489-021-02593-y
https://doi.org/10.1007/s10489-021-02593-y
Publikováno v:
Signal, Image and Video Processing. 14:1413-1420
Although deep convolutional neural networks (DCNNs) have powerful capability of learning complex feature representations, they are limited by poor ability in handling large rotations and scale transformations. In this paper, we propose a novel altern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83d6614a86c4d8bb3dbbc44ab83a8efc
https://doi.org/10.1007/s11760-020-01684-6
https://doi.org/10.1007/s11760-020-01684-6
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e63dd516434dcee28e65e153b309dbe1
https://doi.org/10.2139/ssrn.4258835
https://doi.org/10.2139/ssrn.4258835
Publikováno v:
Optics and Lasers in Engineering. 115:32-41
The single camera measurement system can't obtain all the surface information of the object limited by the field of view, thus it can't achieve complete measurement of the object. Multi-camera system can overcome this difficulty. But it is difficult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8333c935dcfa0591e97defc1fa7f6478
https://doi.org/10.1016/j.optlaseng.2018.11.005
https://doi.org/10.1016/j.optlaseng.2018.11.005