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3D reconstruction of real objects with high resolution shape and texture

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dc.contributor.coauthorSchmitt, F
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.kuauthorYemez, Yücel
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Computer Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokid107907
dc.date.accessioned2024-11-09T23:30:11Z
dc.date.issued2004
dc.description.abstractWe present a robust and accurate system for 3D reconstruction of real objects with high resolution shape and texture. Our reconstruction method is passive, the only information needed being 2D images obtained with a calibrated camera from different view angles as the object rotates on a turntable. The triangle surface model is obtained by a scheme combining octree construction and marching cubes algorithm, which is adapted to the shape from silhouette problem. We develop a texture mapping strategy based on surface particles to adequately address photography related problems such as inhomogeneous lighting, highlights and occlusion. Reconstruction results are included to demonstrate the attained quality.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.issue13
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipThis work has been supported by the European Esprit project ACOHIR (no. 23276) and by TUBITAK Fig. 23. Textured Anyi model at resolution RZ9 (top) and the corresponding image of the sequence masked with the silhouette (bottom)
dc.description.sponsorship(right) we zoom on the object to observe the high resolution reconstruction performance as compared to the original image. 1152 Y. Yemez, F. Schmitt / Image and Vision Computing 22 (2004) 1137–1153 (Technology and Research Council of Turkey). We would also like to thank J.M. Lavest for his invaluable help as an expert in camera calibration process, and R. Montoya Vozmediano for an early implementation of the software
dc.description.volume22
dc.identifier.doi10.1016/j.imavis.2004.06.001
dc.identifier.eissn1872-8138
dc.identifier.issn0262-8856
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-4644370375
dc.identifier.urihttp://dx.doi.org/10.1016/j.imavis.2004.06.001
dc.identifier.urihttps://hdl.handle.net/20.500.14288/12171
dc.identifier.wos224493600005
dc.keywords3D object reconstruction
dc.keywordsshape from silhouette
dc.keywordsmarching cubes
dc.keywordsoctree
dc.keywordssurface particles
dc.keywordstexture mapping AUTOMATIC RECONSTRUCTION
dc.keywordsCONSTRUCTION
dc.keywordsOCTREES
dc.languageEnglish
dc.publisherElsevier
dc.sourceImage and Vision Computing
dc.subjectComputer science, artificial intelligence
dc.subjectComputer science, Software engineering
dc.subjectComputer science, Theory and methods
dc.subjectEngineering, electrical and electronic
dc.subjectOptics
dc.title3D reconstruction of real objects with high resolution shape and texture
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0002-7515-3138
local.contributor.kuauthorYemez, Yücel
relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae

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