3D Reconstruction Using Labeled Image Regions

dc.contributor.authorZiegler, Remoen_US
dc.contributor.authorMatusik, Wojciechen_US
dc.contributor.authorPfister, Hanspeteren_US
dc.contributor.authorMcMillan, Leonarden_US
dc.contributor.editorLeif Kobbelt and Peter Schroeder and Hugues Hoppeen_US
dc.date.accessioned2014-01-29T08:19:49Z
dc.date.available2014-01-29T08:19:49Z
dc.date.issued2003en_US
dc.description.abstractIn this paper we present a novel algorithm for reconstructing 3D scenes from a set of images. The user defines a set of polygonal regions with corresponding labels in each image using familiar 2D photo-editing tools. Our reconstruction algorithm computes the 3D model with maximum volume that is consistent with the set of regions in the input images. The algorithm is fast, uses only 2D intersection operations, and directly computes a polygonal model. We implemented a user-assisted system for 3D scene reconstruction and show results on scenes that are difficult or impossible to reconstruct with other methods.en_US
dc.description.seriesinformationEurographics Symposium on Geometry Processingen_US
dc.identifier.isbn3-905673-06-1en_US
dc.identifier.issn1727-8384en_US
dc.identifier.urihttps://doi.org/10.2312/SGP/SGP03/248-259en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.2.10 [Artificial Intelligence]: Vision and Scene Understanding: modeling and recovery of physical attributes; I.3.3 [Computer Graphics]: Picture/Image Generation: display algorithmsen_US
dc.title3D Reconstruction Using Labeled Image Regionsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
248-259.pdf
Size:
13.68 MB
Format:
Adobe Portable Document Format