Referenced Items are not available for this document.
This paper deals with robust registration of object views in the presence of uncertainties and noise in depth data. Errors in registration of multiple views of a 3D object severely affect view integration during automatic construction of object models. We derive a minimum variance estimator (MVE) for computing the view transformation parameters accurately from range data of two views of a 3D object. The results of our experiments show that view transformation estimates obtained using MVE are significantly more accurate than those computed with an unweighted error criterion for registration
Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on
(Volume:19
,
Issue:
10
)
Date of Publication: Oct 1997
- Page(s):
- 1131 - 1138
- ISSN :
- 0162-8828
- INSPEC Accession Number:
- 5748447
- Digital Object Identifier :
- 10.1109/34.625115
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Oct 1997
- Sponsored by :
- IEEE Computer Society
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