The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.10 - October (2003 vol.25)
pp: 1343-1348
Long Quan , IEEE
ABSTRACT
<p><b>Abstract</b>—Previous algorithms for recovering 3D geometry from an uncalibrated image sequence of a single axis motion of unknown rotation angles are mainly based on the computation of two-view fundamental matrices and three-view trifocal tensors. In this paper, we propose three new methods that are based on fitting a conic locus to corresponding image points over multiple views. The main advantage is that determining only five parameters of a conic from one corresponding point over at least five views is simpler and more robust than determining a fundamental matrix from two views or a trifocal tensor from three views. It is shown that the geometry of single axis motion can be recovered either by computing one conic locus and one fundamental matrix or by computing at least two conic loci. A maximum likelihood solution based on this parametrization of the single axis motion is also described for optimal estimation using three or more loci. The experiments on real image sequences demonstrate the simplicity, accuracy, and robustness of the new methods.</p>
INDEX TERMS
Turntable, structure from motion, single axis motion, geometry, conic, fundamental matrix.
CITATION
Guang Jiang, Hung-tat Tsui, Long Quan, Andrew Zisserman, "Geometry of Single Axis Motions Using Conic Fitting", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.25, no. 10, pp. 1343-1348, October 2003, doi:10.1109/TPAMI.2003.1233910
8 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool