Paper Info
Title
Camera self-calibration from unknown planar structures enforcing the multiview constraints between collineations
Abstract
In this paper, we describe an efficient method to impose the constraints existing between the collineations between images which can be computed from a sequence of views of a planar structure. These constraints are usually not taken into account by multiview techniques in order not to increase the computational complexity of the algorithms. However, imposing the constraints is very useful since it allows a reduction of geometric errors in the reprojected features and provides a consistent set of collineations which can be used for several applications such as mosaicing, reconstruction, and self-calibration. In order to show the validity of our approach, this paper focus on self-calibration from unknown planar structures proposing a method exploiting the consistent set of collineations. Our method can deal with an arbitrary number of views and an arbitrary number of planes and varying camera internal parameters. However, for simplicity, this papers will only discuss the case with one plane in several views. The results obtained with synthetic and real data are very accurate and stable even when using only few images.
Year
DOI
Venue
2002
10.1109/TPAMI.2002.1033217
Pattern Analysis and Machine Intelligence, IEEE Transactions  
Keywords
Field
DocType
calibration,cameras,computational complexity,computer vision,image reconstruction,image segmentation,image sequences,camera self-calibration,collineations,computational complexity,image reconstruction,mosaicing,multiview constraints,self-calibration,unknown planar structures
Iterative reconstruction,Computer vision,Computer science,Image segmentation,Planar,Artificial intelligence,Collineation,Calibration,Computational complexity theory
Journal
Volume
Issue
ISSN
24
9
0162-8828
Citations 
PageRank 
References 
35
1.33
21
Authors
2
Name
Order
Citations
PageRank
Ezio Malis1132280.65
Roberto Cipolla29413827.88