NDLI: Zippered polygon meshes from range images

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Zippered polygon meshes from range images

Content Provider	ACM Digital Library
Author	Levoy, Marc Turk, Greg
Abstract	Range imaging offers an inexpensive and accurate means for digitizing the shape of three-dimensional objects. Because most objects self occlude, no single range image suffices to describe the entire object. We present a method for combining a collection of range images into a single polygonal mesh that completely describes an object to the extent that it is visible from the outside.The steps in our method are: 1) align the meshes with each other using a modified iterated closest-point algorithm, 2) zipper together adjacent meshes to form a continuous surface that correctly captures the topology of the object, and 3) compute local weighted averages of surface positions on all meshes to form a consensus surface geometry.Our system differs from previous approaches in that it is incremental; scans are acquired and combined one at a time. This approach allows us to acquire and combine large numbers of scans with minimal storage overhead. Our largest models contain up to 360,000 triangles. All the steps needed to digitize an object that requires up to 10 range scans can be performed using our system with five minutes of user interaction and a few hours of compute time. We show two models created using our method with range data from a commercial rangefinder that employs laser stripe technology.
Starting Page	311
Ending Page	318
Page Count	8
File Format	PDF PS / EPS
ISBN	0897916670
DOI	10.1145/192161.192241
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1994-07-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Surface reconstruction Structured light range scanner Range images Polygon mesh Surface fitting
Content Type	Text
Resource Type	Article

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