On three-dimensional surface reconstruction methods
Bolle, R.M.
Vemuri, B.C.
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jan 1991
Volume: 13,
Issue: 1
On page(s): 1-13
ISSN: 0162-8828
References Cited: 91
CODEN: ITPIDJ
INSPEC Accession Number: 3880511
Digital Object Identifier: 10.1109/34.67626
Current Version Published: 2002-08-06
Abstract
A survey is presented of some of the surface reconstruction
methods that can be found in the literature; the focus is on a small,
recent, and important subset of the published reconstruction techniques.
The techniques are classified based on the surface representation used,
implicit versus explicit functions. A study is made of the important
aspects of the surface reconstruction techniques. One aspect is the
viewpoint invariance of the methods. This is an important property if
object recognition is the ultimate objective. The robustness of the
various methods is examined. It is determined whether the parameter
estimates are biased, and the sensitivity to obscuration is addressed.
The latter two aspects are particularly important for fitting functions
in the implicit form. A detailed description is given of a parametric
reconstruction method for three-dimensional object surfaces that
involves numeric grid generation techniques and variational principle
formulations. This technique is invariant to rigid motion in dimensional
space
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