Paper Info
Title
Reconstruction from Uncalibrated Sequences with a Hierarchy of Trifocal Tensors
Abstract
This paper considers projective reconstruction with a hierarchical computational structure of trifocal tensors that integrates feature tracking and geometrical validation of the feature tracks. The algorithm was embedded into a system aimed at completely automatic Euclidean reconstruction from uncalibrated handheld amateur video sequences. The algorithm was tested as part of this system on a number of sequences grabbed directly from a low-end video camera without editing. The proposed approach can be considered a generalisation of a scheme of [Fitzgibbon and Zisserman, ECCV '98]. The proposed scheme tries to adapt itself to the motion and frame rate in the sequence by finding good triplets of views from which accurate and unique trifocal tensors can be calculated. This is in contrast to the assumption that three consecutive views in the video sequence are a good choice. Using trifocal tensors with a wider span suppresses error accumulation and makes the scheme less reliant on bundle adjustment. The proposed computational structure may also be used with fundamental matrices as the basic building block.
Year
DOI
Venue
2000
10.1007/3-540-45054-8_42
ECCV
Keywords
Field
DocType
low-end video camera,uncalibrated sequences,trifocal tensors,feature track,proposed scheme,automatic euclidean reconstruction,unique trifocal tensors,uncalibrated handheld amateur video,proposed computational structure,video sequence,bundle adjustment
Structure from motion,Iterative reconstruction,Computer vision,Projective representation,Computer science,Bundle adjustment,Artificial intelligence,Frame rate,Motion estimation,Video camera,Trifocal tensor
Conference
Volume
ISSN
ISBN
1842
0302-9743
3-540-67685-6
Citations 
PageRank 
References 
64
4.32
35
Authors
1
Name
Order
Citations
PageRank
David Nistér12265118.02