A methodology for evaluating illumination artifact removal for corresponding images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5702 LNCS, Issue , 2009, Pages 1113-1121

  Vaudrey, Tobi ^a   Wedel, Andreas ^b   Klette, Reinhard ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b DAIMLER AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFACT REMOVAL; COMPUTER VISION APPLICATIONS; ILLUMINATION CONDITIONS; INFORMATION CONTENTS; INPUT IMAGE; MATCHING ALGORITHM; MATCHING CRITERION;

COMPUTER APPLICATIONS; COMPUTER VISION; STEREO VISION;

OPTICAL FLOWS;

EID: 70349308659     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03767-2_135     Document Type: Conference Paper

References (27)

1. Barron, J.L., Fleet, D.J., Beauchemin, S.S.: Performance of Optical Flow Techniques. IJCV 12, 43-77 (1994)
2. Mitchie, A., Bouthemy, P.: Computation and Analysis of Image Motion: A Synopsis of Current Problems and Methods. IJCV 19, 29-55 (1996)
3. Horn, B.K.P., Schunck, B.G.: Determining Optical Flow. AI 17, 185-203 (1981)
4. Bruhn, A., Weickert, J., Kohlberger, T., Schnörr, C.: A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods. IJCV 70, 257-277 (2006)
5. Papenberg, N., Bruhn, A., Brox, T., Didas, S., Weickert, J.: Highly Accurate Optic Flow Computation with Theoretically Justified Warping. IJCV 67(2), 141-158 (2006)
6. Zang, D., Wietzke, L., Schmaltz, C., Sommer, G.: Dense Optical Flow Estimation from the Monogenic Curvature Tensor. In: Sgallari, F., Murli, A., Paragios, N. (eds.) SSVM 2007. LNCS, vol. 4485, pp. 239-250. Springer, Heidelberg (2007)
7. Nagel, H.H.: On the Estimation of Optical Flow: Relations Between Different Approaches and Some New Results. AI 33, 299-324 (1987)
8. Alvarez, L., Weickert, J., S'anchez, J.: Reliable Estimation of Dense Optical Flow Fields with Large Displacements. IJCV 39(1), 41-56 (2000)
9. de Haan, G., Biezen, P.W.A.C., Huijgen, H., Ojo, O.A.: True-Motion Estimation with 3-D Recursive Search Block Matching. IEEE TCSV 3(5), 368-379 (1993)
10. Shi, J., Tomasi, C.: Good Features to Track. In: IEEE CVPR, pp. 593-600 (1994)
11. Janssen, B.J., Florack, L.M.J., Duits, R., ter Haar Romeny, B.M.: Optic Flow from Multi-scale Dynamic Anchor Point Attributes. In: Campilho, A., Kamel, M.S. (eds.) ICIAR 2006. LNCS, vol. 4141, pp. 767-779. Springer, Heidelberg (2006)
12. Florack, L.M.J., Janssen, B.J., Kanters, F.M.W., Duits, R.: Towards a new paradigm for motion extraction. In: Campilho, A., Kamel, M.S. (eds.) ICIAR 2006. LNCS, vol. 4141, pp. 743-754. Springer, Heidelberg (2006)
13. Lillholm, M., Nielsen, M., Griffin, L.D.: Feature-Based Image Analysis. IJCV 52(2/3), 73-95 (2003)
14. Nielsen, M., Lillholm, M.: What do features tell about images? In: Kerckhove, M. (ed.) Scale-Space 2001. LNCS, vol. 2106, pp. 39-50. Springer, Heidelberg (2001)
15. Janssen, B.J., Kanters, F.M.W., Duits, R., Florack, L.M.J., ter Haar Romenij, B.M.: A Linear Image Reconstruction Framework Based on Sobolev Type Inner Products. IJCV 70, 231-240 (2006)
16. ter Haar Romenij, B.M.: Front-End Vision and Multiscale Image Analysis. Kluwer, Dordrecht (2003)
17. Florack, L.M.J.: Image Structure. Kluwer, Dordrecht (1997)
18. Gilmore, R.: Catastrophe Theory for Scientists and Engineers. Dover, New York (1993)
19. Florack, L.M.J., Kuijper, A.: The Topological Structure of Scale-Space Images. JMIV 12(1), 65-79 (2000)
20. Kuijper, A., Florack, L.M.J., Viergever, M.A.: Scale Space Hierarchy. JMIV 18(2), 169-189 (2003)
21. Janssen, B.J., Duits, R., Florack, L.M.J.: Coarse-to-fine Image Reconstruction based on Weighted Differential Features and Background Gauge Fields. To Appear in: Proc. of the SSVM. LNCS. Springer, Heidelberg (2009)
22. Barrett, R., Berry, M., Chan, T.F., Demmel, J., Donato, J., Dongarra, J., Eijkhout, V., Pozo, R., Romine, C., Van der Vorst, H.: Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods, 2nd edn. SIAM, Philadelphia (1994)
23. Fleet, D.J., Jepson, A.D.: Computation of Component Image Velocity from Local Phase Information. IJCV 5(1), 77-104 (1990)
24. Weickert, J., Schnörr, C.: Variational Optic Flow Computation with a Spatiotemporal Smoothness Constraint. JMIV 14, 245-255 (2001)
25. Amiaz, T., Kiryati, N.: Piecewise-Smooth Dense Optical Flow via Level Sets. IJCV 68(2), 111-124 (2006)
26. Brox, T., Bruhn, A., Weickert, J.: Variational Motion Segmentation with Level Sets. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 471-483. Springer, Heidelberg (2006)
27. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. IJCV 60(2), 91-110 (2004)