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Article: Extracting objects from range and radiance images

TitleExtracting objects from range and radiance images
Authors
KeywordsAugmented Reality
Image Registration
Image-Based Modeling
Image-Based Rendering
Object-Level Representation
Range Image Segmentation
Scene Editing
Texture-Mapping
Issue Date2001
PublisherI E E E. The Journal's web site is located at http://www.computer.org/tvcg
Citation
Ieee Transactions On Visualization And Computer Graphics, 2001, v. 7 n. 4, p. 351-364 How to Cite?
AbstractIn this paper, we present a pipeline and several key techniques necessary for editing a real scene captured with both cameras and laser range scanners. We develop automatic algorithms to segment the geometry from range images into distinct surfaces, register texture from radiance images with the geometry, and synthesize compact high-quality texture maps. The results is an object-level representation of the scene which can be rendered with modifications to structure via traditional rendering methods. The segmentation algorithm for geometry operates directly on the point cloud from multiple registered 3D range images instead of a reconstructed mesh. It is a top-down algorithm which recursively partitions a point set into two subsets using a pairwise similarity measure. The result is a binary tree with individual surfaces as leaves. Our image registration technique performs a very efficient search to automatically find the camera poses for arbitrary position and orientation relative to the geometry. Thus, we can take photographs from any location without precalibration between the scanner and the camera. The algorithms have been applied to large-scale real data. We demonstrate our ability to edit a captured scene by moving, inserting, and deleting objects.
Persistent Identifierhttp://hdl.handle.net/10722/152284
ISSN
2015 Impact Factor: 1.4
2015 SCImago Journal Rankings: 0.917
References

 

DC FieldValueLanguage
dc.contributor.authorYu, Yen_US
dc.contributor.authorFerencz, Aen_US
dc.contributor.authorMalik, Jen_US
dc.date.accessioned2012-06-26T06:36:57Z-
dc.date.available2012-06-26T06:36:57Z-
dc.date.issued2001en_US
dc.identifier.citationIeee Transactions On Visualization And Computer Graphics, 2001, v. 7 n. 4, p. 351-364en_US
dc.identifier.issn1077-2626en_US
dc.identifier.urihttp://hdl.handle.net/10722/152284-
dc.description.abstractIn this paper, we present a pipeline and several key techniques necessary for editing a real scene captured with both cameras and laser range scanners. We develop automatic algorithms to segment the geometry from range images into distinct surfaces, register texture from radiance images with the geometry, and synthesize compact high-quality texture maps. The results is an object-level representation of the scene which can be rendered with modifications to structure via traditional rendering methods. The segmentation algorithm for geometry operates directly on the point cloud from multiple registered 3D range images instead of a reconstructed mesh. It is a top-down algorithm which recursively partitions a point set into two subsets using a pairwise similarity measure. The result is a binary tree with individual surfaces as leaves. Our image registration technique performs a very efficient search to automatically find the camera poses for arbitrary position and orientation relative to the geometry. Thus, we can take photographs from any location without precalibration between the scanner and the camera. The algorithms have been applied to large-scale real data. We demonstrate our ability to edit a captured scene by moving, inserting, and deleting objects.en_US
dc.languageengen_US
dc.publisherI E E E. The Journal's web site is located at http://www.computer.org/tvcgen_US
dc.relation.ispartofIEEE Transactions on Visualization and Computer Graphicsen_US
dc.subjectAugmented Realityen_US
dc.subjectImage Registrationen_US
dc.subjectImage-Based Modelingen_US
dc.subjectImage-Based Renderingen_US
dc.subjectObject-Level Representationen_US
dc.subjectRange Image Segmentationen_US
dc.subjectScene Editingen_US
dc.subjectTexture-Mappingen_US
dc.titleExtracting objects from range and radiance imagesen_US
dc.typeArticleen_US
dc.identifier.emailYu, Y:yzyu@cs.hku.hken_US
dc.identifier.authorityYu, Y=rp01415en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/2945.965349en_US
dc.identifier.scopuseid_2-s2.0-0035483884en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035483884&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume7en_US
dc.identifier.issue4en_US
dc.identifier.spage351en_US
dc.identifier.epage364en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridYu, Y=8554163500en_US
dc.identifier.scopusauthoridFerencz, A=35175960600en_US
dc.identifier.scopusauthoridMalik, J=7101991704en_US

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