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dc.contributor.authorYuan, Xiaoruen_US
dc.contributor.authorXu, Huien_US
dc.contributor.authorNguyen, Minhen_US
dc.contributor.authorShesh, Amiten_US
dc.contributor.authorChen, Baoquanen_US
dc.contributor.editorJoaquim Armando Pires Jorge and Takeo Igarashien_US
dc.date.accessioned2014-01-27T18:26:17Z
dc.date.available2014-01-27T18:26:17Z
dc.date.issued2005en_US
dc.identifier.isbn3-905673-30-4en_US
dc.identifier.issn1812-3503en_US
dc.identifier.urihttp://dx.doi.org/10.2312/SBM/SBM05/019-026en_US
dc.description.abstractWhen modeling with scanned outdoor models, being able to select a subset of the points efficiently that collectively represent an object is an important and fundamental operation. Such segmentation problems have been extensively studied, and simple and efficient solutions exist in two dimensions. However, 3D segmentation, especially that of sparse point models obtained by scanning, remains a challenge because of inherent incompleteness and noise. We present a sketched-based interface that allows segmentation of general 3D point-based models. The user marks object and background regions by placing strokes using a stylus, and the tool segments out the marked object(s). To refine the results, the user simply moves the camera to a different location and repeats the process. Our method is based on graph cuts, a popular and well-tested paradigm for segmentation problems. We employ a two-pass process: we use the strokes to perform 2D image segmentation in the projection plane of the camera and use its results for the 3D scanned data segmentation. The advantages of our method are ease of use, speed and robustness. Our method works for general 3D point models and not just range images. Important applications include selection of objects when dealing with large, unorganized point models for refinement, remodeling, meshing, etc.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.6 [Computer Graphics]: Methodology and Techniques I.4.6 [Image Processing and Computer Vision]: Segmentation H.5.2 [User Interfaces]: Theory and methodsen_US
dc.titleSketch-based Segmentation of Scanned Outdoor Environment Modelsen_US
dc.description.seriesinformationEurographics Workshop on Sketch-Based Interfaces and Modelingen_US


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