DocumentCode
383989
Title
Structure from motion from three affine views
Author
Quan, Long ; Lhuillier, Maxime
Author_Institution
Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., China
Volume
4
fYear
2002
fDate
2002
Firstpage
1
Abstract
We describe a new method for structure from motion (SFM) from three affine views. The central idea of the method is to explore the intrinsic three-view properties instead of previous two-view ones. The first key observation is that an affine camera is indeed essentially a one-dimensional projective camera operating on the plane at infinity : we prove that the essential motion-relative camera orientations-is entirely encoded by the infinity 1D trifocal tensor. From a practical point of view, this analysis allows the development of two new algorithms of SFM from three views. One based on entirely the minimal trifocal tensor and another on affine three-view constraints. Both algorithms are novel as all previous SFM from three views have been heavily based on only two-view constraint to extract Euclidean structure. These algorithms have been demonstrated on real image sequences.
Keywords
image motion analysis; image reconstruction; tensors; 1D projective camera; affine views; image sequences; infinity 1D trifocal tensor; minimal trifocal tensor; relative camera orientations; structure-from-motion reconstruction; Algorithm design and analysis; Cameras; Computer science; H infinity control; Reflection; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1047387
Filename
1047387
Link To Document