TY - GEN
T1 - Epipolar geometry based on line similarity
AU - Ben-Artzi, Gil
AU - Halperin, Tavi
AU - Werman, Michael
AU - Peleg, Shmuel
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85019116358
U2 - 10.1109/ICPR.2016.7899908
DO - 10.1109/ICPR.2016.7899908
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AN - SCOPUS:85019116358
T3 - Proceedings - International Conference on Pattern Recognition
SP - 1864
EP - 1869
BT - 2016 23rd International Conference on Pattern Recognition, ICPR 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd International Conference on Pattern Recognition, ICPR 2016
Y2 - 4 December 2016 through 8 December 2016
ER -