DocumentCode
3118199
Title
Automatic 3D modeling using range images obtained from unknown viewpoints
Author
Huber, Daniel F.
Author_Institution
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
2001
fDate
2001
Firstpage
153
Lastpage
160
Abstract
In this paper, we present a method for automatically creating a 3D model of a scene from a set of range images obtained from unknown viewpoints. Existing 3D modeling approaches require manual interaction or rely on mechanical methods to estimate the viewpoints. Given a set of range images (views), we use a surface matching system to exhaustively register all pairs of views. The results are verified for consistency, but some incorrect matches may be locally undetectable and correct matches may be missed. We then construct a consistent model from these potentially faulty matches using a global consistency criterion to eliminate incorrect, but locally consistent, matches. The procedure is demonstrated through an application called hand-held modeling, in which a 3D model is automatically created by scanning an object held in a person´s hand
Keywords
image matching; solid modelling; 3D model; automatic 3D modeling; consistent model; faulty matches; global consistency criterion; manual interaction; range images; surface matching system; unknown viewpoints; Costs; Lapping; Layout; Robotics and automation; Robustness; Tires;
fLanguage
English
Publisher
ieee
Conference_Titel
3-D Digital Imaging and Modeling, 2001. Proceedings. Third International Conference on
Conference_Location
Quebec City, Que.
Print_ISBN
0-7695-0984-3
Type
conf
DOI
10.1109/IM.2001.924424
Filename
924424
Link To Document