Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/88102
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dc.contributorDepartment of Computing-
dc.creatorLiang, Z-
dc.creatorXu, C-
dc.creatorHu, J-
dc.creatorLi, YS-
dc.creatorMeng, ZP-
dc.date.accessioned2020-09-18T02:12:45Z-
dc.date.available2020-09-18T02:12:45Z-
dc.identifier.urihttp://hdl.handle.net/10397/88102-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/en_US
dc.rightsThe following publication Liang, Z., Xu, C., Hu, J., Li, Y. S., & Meng, Z. P. (2020). Better together: Shading cues and multi-view stereo for reconstruction depth optimization. IEEE access, 8, 112348-112356 is available at https://dx.doi.org/10.1109/ACCESS.2020.3003023en_US
dc.subjectImage reconstructionen_US
dc.subjectThree-dimensional displaysen_US
dc.subjectCamerasen_US
dc.subjectLightingen_US
dc.subjectHarmonic analysisen_US
dc.subjectOptimizationen_US
dc.subjectSurface reconstructionen_US
dc.subjectDepth optimizeen_US
dc.subjectMVSen_US
dc.subjectShading cuesen_US
dc.titleBetter together : shading cues and multi-view stereo for reconstruction depth optimizationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage112348-
dc.identifier.epage112356-
dc.identifier.volume8-
dc.identifier.doi10.1109/ACCESS.2020.3003023-
dcterms.abstractPassive reconstruction methods such as traditional multi-view stereo are capable to accurate reconstruction results. However, the depth calculation of multi-view stereo encounters significant difficulties, especially when the corresponding points have some degree of inaccuracy or unreliability. In this paper, we make use of geometric and shading cues information in the multi-view stereo approach to construct a robust energy function, which is also effective to optimize the depth information provided by multi-view stereo. This work improves the accuracy of point cloud depth. we evaluated our algorithm in the famous DTU datasets, and established our own dinosaur datasets. All the data is collected by mobile devices under natural light condition, while the reconstruction results are completed and accurate.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE access, 2020, v. 8, p. 112348-112356-
dcterms.isPartOfIEEE access-
dcterms.issued2020-
dc.identifier.isiWOS:000546414500006-
dc.identifier.scopus2-s2.0-85087656851-
dc.identifier.eissn2169-3536-
dc.description.validate202009 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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