Efficient RANSAC for point-cloud shape detection

Computer Graphics Forum

Volumn 26, Issue 2, 2007, Pages 214-226

  Schnabel, R ^a   Wahl, R ^a   Klein, R ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

Geometry analysis; Large point clouds; Localized RANSAC; Primitive shapes; Shape fitting

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL GEOMETRY; COMPUTER AIDED DESIGN; RANDOM PROCESSES; SPURIOUS SIGNAL NOISE;

GEOMETRY ANALYSIS; LARGE POINT CLOUDS; LOCALIZED RANSAC; PRIMITIVE SHAPES; SHAPE FITTING;

OBJECT RECOGNITION;

EID: 34248995532     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/j.1467-8659.2007.01016.x     Document Type: Article

References (36)

1. Bolles R. C., Fischler M. A. : A ransac-based approach to model fitting and its application to finding cylinders in range data. In Proceedings of the 7th International Joint Conference on Artificial Intelligence 1981 637 643.
2. Benko P., Géza K., Várady T., Andor L., Martin R. : Constrained fitting in reverse engineering. Comput. Aided Geom. Des. 19, 3 (2002 173 205.
3. Besl P. J., Jain R. C. : Segmentation through variable-order surface fitting. IEEE Trans. Pattern Anal. Mach. Intell. 10, 2 (1988 167 192.
4. Benko P., Martin R. R., Várady T. : Algorithms for reverse engineering boundary representation models. Comput.-Aided Des. 33, 11 (2001 839 851.
5. Cohen-Steiner D., Alliez P., Desbrun M. : Variational shape approximation. ACM Trans. Graph. 23, 3 (2004 905 914.
6. Chaperon T., Goulette F. : Extracting cylinders in full 3-d data using a random sampling method and the gaussian image. In VMV01 2001 35 42.
7. Décoret X., Durand F., Sillion F., Dorsey J. : Billboard clouds for extreme model simplification. In Proceedings of the ACM Siggraph, ACM Press, 2003.
8. Fischler M. A., Bolles R. C. : Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24, 6 (1981 381 395.
9. Fitzgibbon A. W., Eggert D. W., Fisher R. B. : High-level CAD model acquisition from range images. Comput.-Aided Des. 29, 4 (1997 321 330.
10. Gotardo P. F. U., Bellon O. R. P., Silva L. : Range image segmentation by surface extraction using an improved robust estimator. cvpr 02, 33 (2003).
11. Gelfand N., Guibas L. J. : Shape segmentation using local slippage analysis. In SGP '04: Proceedings of the 2004 Eurographics/ACM SIGGRAPH Symposium on Geometry Processing, ACM Press, New York, 2004, 214 223.
12. Hoppe H., DeRose T., Duchamp T., McDonald J., Stuetzle W. : Surface reconstruction from unorganized points. In SIGGRAPH '92: Proceedings of the 19th annual conference on Computer graphics and interactive techniques, ACM Press, New York, 1992, 71 78.
13. Hofer M., Odehnal B., Pottmann H., Steiner T., Wallner J. : 3d shape recognition and reconstruction based on line element geometry. In Tenth IEEE International Conference on Computer Vision 2, IEEE Computer Society 2005 1532 1538.
14. Hough P. : Method and means for recognizing complex patterns. In US Patent, 1962.
15. Illingworth J., Kittler J. : The adaptive hough transform. IEEE Transactions on Pattern Analysis and Machine Intelligence 9, 5 (September 1987 690 698.
16. Illingworth J., Kittler J. : A survey of the hough transform. Comput. Vision Graph. Image Process. 44, 1 (1988 87 116.
17. Jiang X., Bunke H. : Range image segmentation: Adaptive grouping of edges into regions. In ACCV '98: Proceedings of the Third Asian Conference on Computer Vision-Volume II, Springer-Verlag, London, 1997, 299 306.
18. Leonardis A., Gupta A., Bajcsy R. : Segmentation of range images as the search for geometric parametric models. Int. J. Comput. Vision 14, 3 (1995 253 277.
19. Leonardis A., Jaklič A., Solina F. : Superquadrics for segmenting and modeling range data. IEEE Trans. Pattern Anal. Mach. Intell. 19, 11 (1997 1289 1295.
20. Matas J., Chum O. : Randomized RANSAC with t(d, d) test. In Proceedings of the British Machine Vision Conference 2002 (BMVC), 2002.
21. Marshall D., Lukacs G., Martin R. : Robust segmentation of primitives from range data in the presence of geometric degeneracy. IEEE Trans. Pattern Anal. Mach. Intell. 23, 3 (2001 304 314.
22. Medioni G., Lee M. S., Tang C. K. : A Computational Framework for Segmentation and Grouping. Elsevier, 2000.
23. Myatt D., Torr P., Nasuto S., Bishop J., Craddock R. : Napsac: High noise, high dimensional robust estimation - it's in the bag. In BMVC, p. Computer Vision Tools, 2002.
24. Nistr D. : Preemptive RANSAC for live structure and motion estimation. Mach. Vision Appl. 16, 5 (2005 321 329.
25. Powell M. W., Bowyer K. W., Jiang X., Bunke H. : Comparing curved-surface range image segmenters. In ICCV '98: Proceedings of the Sixth International Conference on Computer Vision, IEEE Computer Society, Washington, DC, 1998, 286.
26. Roth G., Levine M. D. : Extracting geometric primitives. CVGIP: Image Underst. 58, 1 (1993 1 22.
27. Sapidis N. S., Besl P. J. : Direct construction of polynomial surfaces from dense range images through region growing. ACM Trans. Graph. 14, 2 (1995 171 200.
28. Shirley P., Chiu K. : A low distortion map between disk and square. J. Graph. Tools 2, 3 (1997 45 52.
29. Shakarji C. M. : Least-squares fitting algorithms of the NIST algorithm testing system. J. Res. Nat. Inst. Stand. Techn. 103, 6 (1998 633 641.
30. Torr P., Zisserman A. : MLESAC: A new robust estimator with application to estimating image geometry. Computer Vision and Image Understanding 78 2000 138 156.
31. Torr P., Zisserman A. : Robust computation and parametrization of multiple view relations. In ICCV '98: Proceedings of the Sixth International Conference on Computer Vision, IEEE Computer Society, Washington, DC, 1998, 727.
32. Vosselman G., Gorte B., Sithole G., Rabbani T. : Recognising structure in laser scanner point clouds. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 46 8/W2 (2004 33 38.
33. Várady T., Martin R. R., Cox J. : Reverse engineering of geometric models - an introduction. Comput.-Aided Des. 29, 4 (1997 255 268.
34. Wahl R., Guthe M., Klein R. : Identifying planes in point-clouds for efficient hybrid rendering. In The 13th Pacific Conference on Computer Graphics and Applications, October 2005.
35. Wu J., Kobbelt L. : Structure recovery via hybrid variational surface approximation. In Computer Graphics Forum 24 (2005 pp. 277 284.
36. Xu L., Oja E. : Randomized hough transform (RHT): basic mechanisms, algorithms, and computational complexities. CVGIP: Image Underst. 57, 2 (1993 131 154.