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Gilani, Syed Zulqarnain, Mian, Ajmal, Eastwood, Peter (2017) Deep, dense and accurate 3D face correspondence for generating population specific deformable models. Pattern Recognition, 69. 238-250 doi:10.1016/j.patcog.2017.04.013

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Reference TypeJournal (article/letter/editorial)
TitleDeep, dense and accurate 3D face correspondence for generating population specific deformable models
JournalPattern Recognition
AuthorsGilani, Syed ZulqarnainAuthor
Mian, AjmalAuthor
Eastwood, PeterAuthor
Year2017 (September)Volume69
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.04.013Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367014Long-form Identifiermindat:1:5:9367014:2
GUID0
Full ReferenceGilani, Syed Zulqarnain, Mian, Ajmal, Eastwood, Peter (2017) Deep, dense and accurate 3D face correspondence for generating population specific deformable models. Pattern Recognition, 69. 238-250 doi:10.1016/j.patcog.2017.04.013
Plain TextGilani, Syed Zulqarnain, Mian, Ajmal, Eastwood, Peter (2017) Deep, dense and accurate 3D face correspondence for generating population specific deformable models. Pattern Recognition, 69. 238-250 doi:10.1016/j.patcog.2017.04.013
In(2017) Pattern Recognition Vol. 69. Elsevier BV

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Islam, S.M.S., Davies, R., Bennamoun, M., Owens, R.A., Mian, A.S. (2013) Multibiometric human recognition using 3D ear and face features. Pattern Recognition, 46 (3). 613-627 doi:10.1016/j.patcog.2012.09.016
He, Mingjie, Zhang, Jie, Shan, Shiguang, Kan, Meina, Chen, Xilin (2020) Deformable face net for pose invariant face recognition. Pattern Recognition, 100. 107113pp. doi:10.1016/j.patcog.2019.107113
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