NDLI: An adaptive dandelion model for reconstructing spherical terrain-like visual hull surfaces

Content Provider	IEEE Xplore Digital Library
Author	Xin Liu Hongxun Yao Wen Gao
Copyright Year	2005
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China (Xin Liu; Hongxun Yao)
Abstract	In this paper we present an adaptive dandelion model for reconstructing spherical terrain-like visual hull (VH) surfaces. The dandelion model represents a solid by a pencil of organized line segments emitted from a common point. The directions and the topology of the line segments are derived from the triangle facets of a geodesic sphere, which are recursively subdivided until the desired precision is achieved. The initial lines are cut by silhouettes in 2D and then lifted back to 3D to determine the ending points of the line segments defining sampling points on the spherical terrain-like VH surface. A mesh model can be easily constructed from the dandelion model. Our algorithm has the advantages of controllable precision, adaptive resolution, simplicity and speediness. We validate our algorithm by theories and experiments.
Starting Page	589
Ending Page	596
File Size	210524
Page Count	8
File Format	PDF
ISBN	0769523277
ISSN	15506185
DOI	10.1109/3DIM.2005.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Surface reconstruction Image reconstruction Robustness Partial response channels Rough surfaces Surface roughness Image sampling Computer science Solid modeling Computer vision
Content Type	Text
Resource Type	Article

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