Title :
Fast algorithms for projective multi-frame structure from motion
Author :
Oliensis, J. ; Genc, Yakup
Author_Institution :
NEC Res. Inst., Princeton, NJ, USA
Abstract :
We describe new algorithms for multi-frame structure from motion from tracked point features. The algorithms are essentially linear and give accuracies similar to those of a maximum-likelihood estimate. For the common situations where the calibration is fixed and approximately known, we experimentally compare the fully projective versions of our algorithms to mixed projective/Euclidean strategies. Our theoretical results clarify the nature of dominant-plane compensation and the effect of calibration error on translation recovery
Keywords :
calibration; computational geometry; maximum likelihood estimation; motion estimation; Euclidean strategies; calibration; calibration error; dominant-plane compensation; fully projective versions; maximum-likelihood estimate; motion estimation; projective multi-frame structure; tracked point features; translation recovery; Calibration; Cameras; Discrete transforms; Image reconstruction; Motion estimation; Robustness; Transmission line matrix methods;
Conference_Titel :
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0164-8
DOI :
10.1109/ICCV.1999.791269
