Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138276
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dc.contributor.authorDeng, Tengen_US
dc.contributor.authorZheng, Jianminen_US
dc.contributor.authorCai, Jianfeien_US
dc.contributor.authorCham, Tat-Jenen_US
dc.date.accessioned2020-04-30T02:48:59Z-
dc.date.available2020-04-30T02:48:59Z-
dc.date.issued2018-
dc.identifier.citationDeng, T., Zheng, J., Cai, J., & Cham, T.-J. (2018). SubdSH : subdivision-based spherical harmonics field for real-time shading-based refinement under challenging unknown illumination. 2018 IEEE Visual Communications and Image Processing (VCIP). doi:10.1109/VCIP.2018.8698629en_US
dc.identifier.isbn9781538644591-
dc.identifier.urihttps://hdl.handle.net/10356/138276-
dc.description.abstractThis paper presents a spatial-varying illumination model for shading-based depth refinement that based on a smooth Spherical Harmonics (SH) lighting field. The proposed lighting model is able to recover shading under challenging unknown lighting conditions, thus improving the quality of recovered surface detail. To avoid over-parameterization, local lighting coefficients are treated as a vector-valued function which is represented by subdivided surfaces using Catmull-Clark subdivision. We solve our lighting model utilizing a highly parallelized scheme that recovers lighting in a few milliseconds. A real-time shading-based depth recovery system is implemented with the integration of our proposed lighting model. We conduct quantitative and qualitative evaluations on both synthetic and real world datasets under challenging illumination. The experimental results show our method outperforms the state-of-the-art real-time shading-based depth refinement system.en_US
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en_US
dc.description.sponsorshipMOE (Min. of Education, S’pore)en_US
dc.language.isoenen_US
dc.rights© 2018 IEEE. All rights reserved.en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleSubdSH : subdivision-based spherical harmonics field for real-time shading-based refinement under challenging unknown illuminationen_US
dc.typeConference Paperen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.contributor.conference2018 IEEE Visual Communications and Image Processing (VCIP)en_US
dc.contributor.researchInstitute for Media Innovation (IMI)en_US
dc.identifier.doi10.1109/VCIP.2018.8698629-
dc.identifier.scopus2-s2.0-85065401561-
dc.subject.keywordsShape-from-shadingen_US
dc.subject.keywordsLighting Modelen_US
dc.citation.conferencelocationTaichung, Taiwanen_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
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