Title :
Lines in one orthographic and two perspective views
Author :
Navab, Nassir ; Genc, Yakup ; Appel, Mirko
Author_Institution :
Siemens Corp. Res. Inc., Princeton, NJ, USA
Abstract :
In this paper we introduce a linear algorithm to recover the Euclidean motion between one orthographic and two perspective cameras from straight line correspondences filling the gap in the analysis of motion estimation from line correspondences for various projection models. The general relationship between lines in three views is described by the trifocal tensor. Euclidean structure from motion for three perspective views is a special case in which the relationship is defined by a collection of three matrices. We describe the case of two calibrated perspective views and an orthographic view. Similar to the other cases, our linear algorithm requires 13 or more line correspondences to recover 27 coefficients of the trifocal tensor
Keywords :
edge detection; motion estimation; Euclidean motion; calibrated perspective views; linear algorithm; matrices; motion estimation; orthographic camera; perspective cameras; projection models; straight line correspondences; trifocal tensor; Algorithm design and analysis; Calibration; Cameras; Image analysis; Layout; Motion analysis; Motion estimation; Production facilities; Tensile stress; Visualization;
Conference_Titel :
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location :
Hilton Head Island, SC
Print_ISBN :
0-7695-0662-3
DOI :
10.1109/CVPR.2000.854928