Paper Info
Title
Extending Interrupted Feature Point Tracking For 3-D Affine Reconstruction
Abstract
Feature point tracking over a video sequence fails when the points go out of the field of view or behind other objects. In this paper, we extend such interrupted tracking by imposing the constraint that under the affine camera model all feature trajectories should be in an affine space. Our method consists of iterations for optimally extending the trajectories and for optimally estimating the affine space, coupled with an outlier removal process. Using real video images, we demonstrate that our method can restore a sufficient number of trajectories for detailed 3-D reconstruction.
Year
DOI
Venue
2004
10.1007/978-3-540-24670-1_24
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Keywords
DocType
Volume
feature tracking, missing data estimation, outlier removal, factorization, 3-D reconstruction
Journal
E87D
Issue
ISSN
Citations 
4
1745-1361
11
PageRank 
References 
Authors
0.61
9
2
Name
Order
Citations
PageRank
Yasuyuki Sugaya126725.45
Kenichi Kanatani21468320.07