DocumentCode :
1376016
Title :
A new structure-from-motion ambiguity
Author :
Oliensis, John
Author_Institution :
NEC Res. Inst., Princeton, NJ, USA
Volume :
22
Issue :
7
fYear :
2000
fDate :
7/1/2000 12:00:00 AM
Firstpage :
685
Lastpage :
700
Abstract :
Demonstrates the existence of an approximate, intrinsic ambiguity in Euclidean structure from motion (SFM) which occurs as generically as the bas-relief ambiguity but, unlike it, strengthens for scenes with more depth variation. The ambiguity does not occur in projective SFM, but the reasons for this make projective reconstructions more likely to have large errors. Our analysis gives a semiquantitative characterization of the least-squares error surface over a domain complementary to that analyzed by Jepson, Heeger, and Maybank. As part of our analysis, we show that the least-squares error for infinitesimal motion-the optical-flow error-gives a good approximation to the least-squares error for moderate finite motions. We propose that many high-error local minima occur for epipoles in or near the image. We also establish the existence of a new local minimum in minimizing over the rotation, given the translation direction
Keywords :
geometry; image motion analysis; image reconstruction; image sequences; least squares approximations; minimisation; Euclidean structure; approximate intrinsic ambiguity; bas-relief ambiguity; infinitesimal motion; least-squares error; local minimum; moderate finite motions; optical-flow error; projective reconstructions; semiquantitative characterization; structure-from-motion ambiguity; Cameras; Error analysis; Geometry; Image motion analysis; Image reconstruction; Image sequences; Layout; Motion analysis; Optical sensors; Surface reconstruction;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.865186
Filename :
865186
Link To Document :
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