DocumentCode
1741506
Title
Reduction of inherent ambiguities in structure from motion problem using inertial data
Author
Qian, G. ; Zheng, Q. ; Chellappa, R.
Author_Institution
Center for Theor. Phys., Maryland Univ., College Park, MD, USA
Volume
1
fYear
2000
fDate
2000
Firstpage
204
Abstract
The reduction of inherent ambiguities in structure from motion (SfM) using inertial data is addressed. First, we show that the translation-rotation ambiguity in SfM from a noisy flow field computed from two frames can be completely eliminated by using noise free inertial rate data. Secondly, we show that the admissible solution space for SfM from noisy feature correspondences can be reduced by using inertial data
Keywords
feature extraction; image motion analysis; image sequences; noise; video signal processing; admissible solution space; ambiguities reduction; inertial data; noise free inertial rate data; noisy feature correspondences; noisy flow field; structure from motion problem; translation-rotation ambiguity; video camera; video sequences; Automation; Cameras; Educational institutions; Equations; Gyroscopes; Laboratories; Layout; Motion control; Navigation; Noise reduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.900930
Filename
900930
Link To Document