Efficient dense scene flow from sparse or dense stereo data

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

Volumn 5302 LNCS, Issue PART 1, 2008, Pages 739-751

  Wedel, Andreas ^a,b   Rabe, Clemens ^a   Vaudrey, Tobi ^c   Brox, Thomas ^d   Franke, Uwe ^a   Cremers, Daniel ^b  

^a DAIMLER AG   (Germany)

^b UNIVERSITY OF BONN   (Germany)

^c UNIVERSITY OF AUCKLAND   (New Zealand)

^d DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; VELOCITY;

CONSECUTIVE IMAGES; DENSE CORRESPONDENCES; DISPARITY ESTIMATIONS; DISPLACEMENT VECTORS; POSITION AND VELOCITY ESTIMATION; STEREOSEQUENCE; THREE-DIMENSIONAL VELOCITY; VARIATIONAL APPROACHES;

STEREO IMAGE PROCESSING;

EID: 56749107057     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88682-2_56     Document Type: Conference Paper

References (19)

1. 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)
2. Bruhn, A., Weickert, J., Kohlberger, T., Schnörr, C.: Discontinuity preserving computation of variational optic flow in real-time. In: ScaleSpace 2005, pp. 279-290 (2005)
3. Franke, U., Joos, A.: Real-time stereo vision for urban traffic scene understanding. In: Proc. IEEE Intelligent Vehicles Symposium, Dearborn, pp. 273-278 (2000)
4. Fusiello, A., Trueco, E., Verri, A.: A compact algorithm for rectification of stereo pairs. Machine Vision and Applications 12(1), 16-22 (2000)
5. Hirschmüller, H.: Stereo vision in structured environments by consistent semiglobal matching. In: CVPR (2), pp. 2386-2393. IEEE Computer Society, Los Alamitos (2006)
6. Horn, B., Schunck, B.: Determining optical flow. Artificial Intelligence 17, 185-203 (1981)
7. Huguet, F., Devernay, F.: A variational method for scene flow estimation from stereo sequences. In: IEEE Eleventh International Conference on Computer Vision, ICCV 2007, Rio de Janeiro, Brazil (October 2007)
8. Isard, M., MacCormick, J.: Dense motion and disparity estimation via loopy belief propagation. In: Narayanan, P.J., Nayar, S.K., Shum, H.-Y. (eds.) ACCV 2006. LNCS, vol. 3852, pp. 32-41. Springer, Heidelberg (2006)
9. Mémin, E., Pérez, P.: Dense estimation and object-based segmentation of the optical flow with robust techniques. IEEE Transactions on Image Processing 7(5), 703-719 (1998)
10. Min, D., Sohn, K.: Edge-preserving simultaneous joint motion-disparity estimation. In: ICPR 2006: Proc. 18th International Conference on Pattern Recognition, Washington, DC, USA, pp. 74-77. IEEE Computer Society Press, Los Alamitos (2006)
11. Patras, I., Hendriks, E., Tziritas, G.: A joint motion/disparity estimation method for the construction of stereo interpolated images in stereoscopic image sequences. In: Proc. 3rd Annual Conference of the Advanced School for Computing and Imaging, Heijen, The Netherlands (1997)
12. Pollefeys, M., Koch, R., Gool, L.V.: A simple and efficient rectification method for general motion. In: IEEE International Conference on Computer Vision, pp. 496-501 (1999)
13. Pons, J.-P., Keriven, R., Faugeras, O.: Multi-view stereo reconstruction and scene flow estimation with a global image-based matching score. Int. J. Comput. Vision 72(2), 179-193 (2007)
14. Rabe, C., Franke, U., Gehrig, S.: Fast detection of moving objects in complex scenarios. In: Proc. IEEE Intelligent Vehicles Symposium, pp. 398-403 (June 2007)
15. Stein, F.: Efficient computation of optical flow using the census transform. In: Rasmussen, C.E., Bülthoff, H.H., Schölkopf, B., Giese, M.A. (eds.) DAGM 2004. LNCS, vol. 3175, pp. 79-86. Springer, Heidelberg (2004)
16. Tomasi, C., Kanade, T.: Detection and tracking of point features. Technical Report CMU-CS-91-132, Carnegie Mellon University (April 1991)
17. Vedula, S., Baker, S., Rander, P., Collins, R., Kanade, T.: Three-dimensional scene flow. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(3), 475-480 (2005)
18. 1 optical flow. In: Proc. DAGM (Pattern Recognition), pp. 214-223 (2007)
19. Zhang, Y., Kambhamettu, C.: On 3d scene flow and structure estimation. In: Proc. IEEE Conf. in Computer Vision and Pattern Recognition, vol. 2, p. 778. IEEE Computer Society Press, Los Alamitos (2001)