Result 1 to 10 of 10 total
Dense versus sparse approaches for estimating the fundamental matrix. (English)
Int. J. Comput. Vis. 96, No. 2, 212-234 (2012).
1
Joint estimation of motion, structure and geometry from stereo sequences. (English)
Daniilidis, Kostas (ed.) et al., Computer vision ‒ ECCV 2010. 11th European conference on computer vision, Heraklion, Crete, Greece, September 5‒11, 2010. Proceedings, Part IV. Berlin: Springer (ISBN 978-3-642-15560-4/pbk). Lecture Notes in Computer Science 6314, 568-581 (2010).
2
Joint estimation of motion, structure and geometry from stereo sequences (English)
ECCV (4), 568-581 (2010).
3
Making shape from shading work for real-world images. (English)
Denzler, Joachim (ed.) et al., Pattern recognition. 31st DAGM symposium, Jena, Germany, September 9‒11, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-03797-9/pbk). Lecture Notes in Computer Science 5748, 191-200 (2009).
4
Complementary optic flow. (English)
Cremers, Daniel (ed.) et al., Energy minimization methods in computer vision and pattern recognition. 7th international conference, EMMCVPR 2009, Bonn, Germany, August 24‒27, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-03640-8/pbk). Lecture Notes in Computer Science 5681, 207-220 (2009).
5
Complementary optic flow (English)
EMMCVPR, 207-220 (2009).
6
Making shape from shading work for real-world images (English)
DAGM-Symposium, 191-200 (2009).
7
A variational model for the joint recovery of the fundamental matrix and the optical flow. (English)
Rigoll, Gerhard (ed.), Pattern recognition. 30th DAGM symposium Munich, Germany, June 10‒13, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-69320-8/pbk). Lecture Notes in Computer Science 5096, 314-324 (2008).
8
PDE-based anisotropic disparity-driven stereo vision (English)
VMV, 263-272 (2008).
9
A variational model for the joint recovery of the fundamental matrix and the optical flow (English)
DAGM-Symposium, 314-324 (2008).
10
Result 1 to 10 of 10 total
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