DOI: 10.1007/978-3-642-03641-5_16. Complementary Optic Flow

10.1007/978-3-642-03641-5_16

Crossref book-chapter

Springer Berlin Heidelberg

Lecture Notes in Computer Science (297)

Bibliography

Zimmer, H., Bruhn, A., Weickert, J., Valgaerts, L., Salgado, A., Rosenhahn, B., & Seidel, H.-P. (2009). Complementary Optic Flow. Energy Minimization Methods in Computer Vision and Pattern Recognition, 207â220.

Authors 7

Henning Zimmer (first)
Andrés Bruhn (additional)
Joachim Weickert (additional)
Levi Valgaerts (additional)
Agustín Salgado (additional)
Bodo Rosenhahn (additional)
Hans-Peter Seidel (additional)

References 23 Referenced 69

Horn, B., Schunck, B.: Determining optical flow. Artificial Intelligence 17, 185–203 (1981) (10.1016/0004-3702(81)90024-2) / Artificial Intelligence by B. Horn (1981)
Nagel, H.H., Enkelmann, W.: An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence 8, 565–593 (1986) (10.1109/TPAMI.1986.4767833) / IEEE Transactions on Pattern Analysis and Machine Intelligence by H.H. Nagel (1986)
Black, M.J., Anandan, P.: Robust dynamic motion estimation over time. In: Proc. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Maui, HI, pp. 292–302. IEEE Computer Society Press, Los Alamitos (1991) / Proc. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition by M.J. Black (1991)
Brox, T., Bruhn, A., Papenberg, N., Weickert, J.: High accuracy optical flow estimation based on a theory for warping. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3024, pp. 25–36. Springer, Heidelberg (2004) (10.1007/978-3-540-24673-2_3) / Computer Vision - ECCV 2004 / Lecture Notes in Computer Science by T. Brox (2004)
Schnörr, C.: Segmentation of visual motion by minimizing convex non-quadratic functionals. In: Proc. Twelfth International Conference on Pattern Recognition, Jerusalem, Israel, vol. A, pp. 661–663. IEEE Computer Society Press, Los Alamitos (1994) (10.1109/ICPR.1994.576391) / Proc. Twelfth International Conference on Pattern Recognition by C. Schnörr (1994)
Tretiak, O., Pastor, L.: Velocity estimation from image sequences with second order differential operators. In: Proc. Seventh International Conference on Pattern Recognition, Montreal, Canada, July 1984, pp. 16–19 (1984)
Bruhn, A., Weickert, J.: Towards ultimate motion estimation: Combining highest accuracy with real-time performance. In: Proc. Tenth International Conference on Computer Vision, Beijing, China, vol. 1, pp. 749–755. IEEE Computer Society Press, Los Alamitos (2005) / Proc. Tenth International Conference on Computer Vision by A. Bruhn (2005)
van de Weijer, J., Gevers, T.: Robust optical flow from photometric invariants. In: Proc. 2004 IEEE International Conference on Image Processing, Singapore, vol. 3, pp. 1835–1838. IEEE Signal Processing Society (October 2004) (10.1109/ICIP.2004.1421433)
Mileva, Y., Bruhn, A., Weickert, J.: Illumination-robust variational optical flow with photometric invariants. In: Hamprecht, F.A., Schnörr, C., Jähne, B. (eds.) DAGM 2007. LNCS, vol. 4713, pp. 152–162. Springer, Heidelberg (2007) (10.1007/978-3-540-74936-3_16) / Pattern Recognition / Lecture Notes in Computer Science by Y. Mileva (2007)
Simoncelli, E.P., Adelson, E.H., Heeger, D.J.: Probability distributions of optical flow. In: Proc. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Maui, HI, pp. 310–315. IEEE Computer Society Press, Los Alamitos (1991) (10.1109/CVPR.1991.139707) / Proc. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition by E.P. Simoncelli (1991)
Lai, S.H., Vemuri, B.C.: Reliable and efficient computation of optical flow. International Journal of Computer Vision 29(2), 87–105 (1998) (10.1023/A:1008005509994) / International Journal of Computer Vision by S.H. Lai (1998)
Alvarez, L., Esclarín, J., Lefébure, M., Sánchez, J.: A PDE model for computing the optical flow. In: Proc. XVI Congreso de Ecuaciones Diferenciales y Aplicaciones, Las Palmas de Gran Canaria, Spain, September 1999, pp. 1349–1356 (1999)
Weickert, J., Schnörr, C.: A theoretical framework for convex regularizers in PDE-based computation of image motion. International Journal of Computer Vision 45(3), 245–264 (2001) (10.1023/A:1013614317973) / International Journal of Computer Vision by J. Weickert (2001)
Sun, D., Roth, S., Lewis, J., Black, M.: Learning optical flow. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part III. LNCS, vol. 5304, pp. 83–97. Springer, Heidelberg (2008) (10.1007/978-3-540-88690-7_7) / Computer Vision – ECCV 2008 / Lecture Notes in Computer Science by D. Sun (2008)
Roth, S., Black, M.: Steerable random fields. In: Proc. 2007 IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil. IEEE Computer Society Press, Los Alamitos (2007) / Proc. 2007 IEEE International Conference on Computer Vision by S. Roth (2007)
Bruhn, A., Weickert, J., Kohlberger, T., Schnörr, C.: A multigrid platform for real-time motion computation with discontinuity-preserving variational methods. International Journal of Computer Vision 70(3), 257–277 (2006) (10.1007/s11263-006-6616-7) / International Journal of Computer Vision by A. Bruhn (2006)
Golland, P., Bruckstein, A.M.: Motion from color. Computer Vision and Image Understanding 68(3), 346–362 (1997) (10.1006/cviu.1997.0553) / Computer Vision and Image Understanding by P. Golland (1997)
Förstner, W., Gülch, E.: A fast operator for detection and precise location of distinct points, corners and centres of circular features. In: Proc. ISPRS Intercommission Conference on Fast Processing of Photogrammetric Data, Interlaken, Switzerland, June 1987, pp. 281–305 (1987)
Black, M.J., Anandan, P.: The robust estimation of multiple motions: parametric and piecewise smooth flow fields. Computer Vision and Image Understanding 63(1), 75–104 (1996) (10.1006/cviu.1996.0006) / Computer Vision and Image Understanding by M.J. Black (1996)
Perona, P., Malik, J.: Scale space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12, 629–639 (1990) (10.1109/34.56205) / IEEE Transactions on Pattern Analysis and Machine Intelligence by P. Perona (1990)
Weickert, J.: Theoretical foundations of anisotropic diffusion in image processing. Computing Supplement 11, 221–236 (1996) (10.1007/978-3-7091-6586-7_13) / Computing Supplement by J. Weickert (1996)
Baker, S., Roth, S., Scharstein, D., Black, M., Lewis, J., Szeliski, R.: A database and evaluation methodology for optical flow. In: Proc. 2007 IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil. IEEE Computer Society Press, Los Alamitos (2007) / Proc. 2007 IEEE International Conference on Computer Vision by S. Baker (2007)
Barron, J.L., Fleet, D.J., Beauchemin, S.S.: Performance of optical flow techniques. International Journal of Computer Vision 12(1), 43–77 (1994) (10.1007/BF01420984) / International Journal of Computer Vision by J.L. Barron (1994)

Dates

Type	When
Created	16 years ago (Aug. 17, 2009, 7:06 a.m.)
Deposited	6 years, 5 months ago (March 9, 2019, 6:59 a.m.)
Indexed	2 weeks, 4 days ago (Aug. 12, 2025, 5:35 p.m.)
Issued	16 years, 7 months ago (Jan. 1, 2009)
Published	16 years, 7 months ago (Jan. 1, 2009)
Published Print	16 years, 7 months ago (Jan. 1, 2009)

Funders 0

None

BibTeX

@inbook{Zimmer_2009, title={Complementary Optic Flow}, ISBN={9783642036415}, ISSN={1611-3349}, url={http://dx.doi.org/10.1007/978-3-642-03641-5_16}, DOI={10.1007/978-3-642-03641-5_16}, booktitle={Energy Minimization Methods in Computer Vision and Pattern Recognition}, publisher={Springer Berlin Heidelberg}, author={Zimmer, Henning and Bruhn, Andrés and Weickert, Joachim and Valgaerts, Levi and Salgado, Agustín and Rosenhahn, Bodo and Seidel, Hans-Peter}, year={2009}, pages={207–220} }

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