Robust on-line model-based object detection from range images

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Volumn , Issue , 2009, Pages 4739-4744

  Steder, Bastian ^a   Grisetti, Giorgio ^a   Van Loock, Mark ^b   Burgard, Wolfram ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

^b Toyota Motor Europe/NV/SA   (Belgium)

Author keywords

Object detection; Point clouds; Range images

Indexed keywords

3D MATCHING; 3D POINT CLOUD; COMPUTATION TIME; LASER RANGE DATA; OBJECT CLASS; OBJECT DETECTION; ON-LINE APPLICATIONS; ONLINE MODELS; POINT FEATURES; POINT-CLOUDS; RANGE IMAGES; RANGE SCANS; RUNTIMES;

CLOUDS; FEATURE EXTRACTION; INTELLIGENT ROBOTS;

THREE DIMENSIONAL;

EID: 76249112250     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2009.5354400     Document Type: Conference Paper

References (12)

1. M. A. Fischler and R. C. Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM, 24(6):381-395, June 1981.
2. J. D. Foley, A. Van Dam, K Feiner, J.F. Hughes, and Phillips R.L. Introduction to Computer Graphics. Addison-Wesley, 1993.
3. N. Gelfand, N. J. Mitra, L. J. Guibas, and H. Pottmann. Robust global registration. In Proc. of the third Eurographics symposium on Geometry processing, page 197, 2005.
4. C. Harris and M. Stephens. A combined corner and edge detector. In Proceedings of The Fourth Alvey Vision Conference, pages 147-151, 1988.
5. B. K. P. Horn. Closed-form solution of absolute orientation using unit quaternions. Journal of the Optical Society of America. A, 4(4):629-642, Apr 1987.
6. A. E. Johnson and M. Hebert. Using spin images for efficient object recognition in cluttered 3d scenes. IEEE Trans. Pattern Anal. Mach. Intell., 21(5):433-449, 1999.
7. D.G. Lowe. Object recognition from local scale-invariant features. In Proc. of the Int. Conf. on Computer Vision (ICCV), 1999.
8. A. S. Mian, M. Bennamoun, and R. A. Owens. 3d recognition and segmentation of objects in cluttered scenes. In WACV-MOTION '05: Proceedings of the Seventh IEEE Workshops on Application of Computer Vision, pages 8-13, 2005.
9. E. Michaelsen, W. von Hansen, M. Kirchhof, J. Meidow, and U. Stilla. Estimating the essential matrix: GOODSAC versus RANSAC. 2006.
10. S. Ruiz-Correa, L. G. Shapiro, and M. Meila. A new signature-based method for efficient 3-d object recognition. In CVPR (1), pages 769-776, 2001.
11. S. Stiene, K. Lingemann, A. Nüchter, and J. Hertzberg. Contour-based object detection in range images. In Proc. of the Third International Symposium on 3D Data Processing, Visualization, and Transmission, pages 168-175, 2006.
12. R. Triebel, R. Schmidt, O. M. Mozos, and W. Burgard. Instance-based AMN classification for improved object recognition in 2D and 3D laser raneg data. In "Proc. of the International Joint Conference on Artificial Intelligence(IJCAI)", 2007.