Abstract
It is known that epipolar geometry can be computed from three epipolar line correspondences but this computation is rarely used in practice since there are no simple methods to find corresponding lines. Instead, methods for finding corresponding points are widely used. This paper proposes a similarity measure between lines that indicates whether two lines are corresponding epipolar lines and enables finding epipolar line correspondences as needed for the computation of epipolar geometry.
Original language | English |
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Title of host publication | 2016 23rd International Conference on Pattern Recognition, ICPR 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1864-1869 |
Number of pages | 6 |
ISBN (Electronic) | 9781509048472 |
DOIs | |
State | Published - 1 Jan 2016 |
Event | 23rd International Conference on Pattern Recognition, ICPR 2016 - Cancun, Mexico Duration: 4 Dec 2016 → 8 Dec 2016 |
Publication series
Name | Proceedings - International Conference on Pattern Recognition |
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Volume | 0 |
ISSN (Print) | 1051-4651 |
Conference
Conference | 23rd International Conference on Pattern Recognition, ICPR 2016 |
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Country/Territory | Mexico |
City | Cancun |
Period | 4/12/16 → 8/12/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.