Linear Fitting with Missing Data for Structure-from-Motion (1997)
| Venue: | Computer Vision and Image Understanding |
| Citations: | 36 - 5 self |
BibTeX
@ARTICLE{Jacobs97linearfitting,
author = {David W. Jacobs},
title = {Linear Fitting with Missing Data for Structure-from-Motion},
journal = {Computer Vision and Image Understanding},
year = {1997},
volume = {82},
pages = {2001}
}
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Abstract
this paper. This method is described in detail in [15]. We can briefly describe the method as formulating the least squares problem as a bilinear optimization, and then iteratively holding one set of variables constant while the others are optimized, so that each optimization is linear. We use their method in our experiments, because it has good convergence properties and is easy to implement. For the problem they consider, Shum et al. state that a random starting point is sufficient to produce a good final solution. However, their experiments on this point cannot be used to draw conclusions for the problem of determining 3-D structure from a sequence of 2-D images. 3 A Novel Algorithm
