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Kang, Lai, Wu, Lingda, Wei, Yingmei, Lao, Songyang, Yang, Yee-Hong (2017) Two-view underwater 3D reconstruction for cameras with unknown poses under flat refractive interfaces. Pattern Recognition, 69. 251-269 doi:10.1016/j.patcog.2017.04.006

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Reference TypeJournal (article/letter/editorial)
TitleTwo-view underwater 3D reconstruction for cameras with unknown poses under flat refractive interfaces
JournalPattern Recognition
AuthorsKang, LaiAuthor
Wu, LingdaAuthor
Wei, YingmeiAuthor
Lao, SongyangAuthor
Yang, Yee-HongAuthor
Year2017 (September)Volume69
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.04.006Search in ResearchGate
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Mindat Ref. ID9367010Long-form Identifiermindat:1:5:9367010:6
GUID0
Full ReferenceKang, Lai, Wu, Lingda, Wei, Yingmei, Lao, Songyang, Yang, Yee-Hong (2017) Two-view underwater 3D reconstruction for cameras with unknown poses under flat refractive interfaces. Pattern Recognition, 69. 251-269 doi:10.1016/j.patcog.2017.04.006
Plain TextKang, Lai, Wu, Lingda, Wei, Yingmei, Lao, Songyang, Yang, Yee-Hong (2017) Two-view underwater 3D reconstruction for cameras with unknown poses under flat refractive interfaces. Pattern Recognition, 69. 251-269 doi:10.1016/j.patcog.2017.04.006
In(2017) Pattern Recognition Vol. 69. Elsevier BV

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Kang, Lai, Wu, Lingda, Yang, Yee-Hong (2014) Robust multi-view L2 triangulation via optimal inlier selection and 3D structure refinement. Pattern Recognition, 47 (9). 2974-2992 doi:10.1016/j.patcog.2014.03.022
Kang, Lai, Wu, Lingda, Chen, Xida, Yang, Yee-Hong (2013) Practical structure and motion recovery from two uncalibrated images using Constrained Adaptive Differential Evolution. Pattern Recognition, 46 (5). 1466-1484 doi:10.1016/j.patcog.2012.10.028
Kang, Lai, Wu, Lingda, Yang, Yee-Hong (2012) Experimental study of the influence of refraction on underwater three-dimensional reconstruction using the SVP camera model. Applied Optics, 51. 7591pp. doi:10.1364/ao.51.007591
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Wang, Xianghan, Jiang, Jie, Guo, Yanming, Kang, Lai, Wei, Yingmei, Li, Dan (2020) CFAM: Estimating 3D Hand Poses from a Single RGB Image with Attention. Applied Sciences, 10. 618pp. doi:10.3390/app10020618
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