Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeyLeottaVandTaub:2007:In3DSc
TitleInteractive 3D Scanning Without Tracking
FormatPrinted, On-line.
Access Date2021, Jan. 25
Number of Files1
Size5626 KiB
Context area
Author1 Leotta, Matthew J.
2 Vandergon, Austin
3 Taubin, Gabriel
Affiliation1 Brown University
2 Brown University
3 Brown University
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
DateOct. 7-10, 2007
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2007-07-23 14:12:22 :: -> administrator ::
2007-08-02 21:17:29 :: administrator -> ::
2008-07-17 14:09:42 :: -> administrator ::
2009-08-13 20:38:24 :: administrator -> banon ::
2010-08-28 20:02:27 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
KeywordsStereo vision, Laser measurements, Image shape analysis, Machine vision.
AbstractUsing inexpensive and readily available materials -- a calibrated pair of cameras and a laser line projector -- a 3D laser range scanner which requires no tracking is implemented in this paper. We introduce a planarity constraint for reconstruction, based on the fact that all points observed on a laser line in an image are on the same plane of laser light in 3D. This plane of laser light linearly parametrizes the homography between a pair of images of the same laser line, and this homography can be recovered from point correspondences derived from epipolar geometry. Points visible from multiple views can be reconstructed via triangulation and projected onto this plane, while points visible in only one view can be recovered via ray-plane intersection. The use of the planarity constraint during reconstruction increases the system's accuracy, and using the planes for reconstruction increases the number of points recovered. Additionally, an interactive scanning environment is constructed, where incremental reconstruction is used to provide continuous visual feedback. Reconstructions with this method are shown to have higher accuracy than standard triangulation.
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