Robust range data segmentation using geometric primitives for robotic applications
作者： Lindsay Kleeman , Geoffrey R. Taylor
DOI:
关键词: Range (mathematics) 、 Computer vision 、 Data segment 、 Geometric primitive 、 Scale-space segmentation 、 Computer science 、 Artificial intelligence 、 Pattern recognition
摘要:
参考文章(13)
Danica Kragic, Visual Servoing for Manipulation : Robustness and Integration Issues IEEE Transactions on Robotics and Automation. pp. 230- ,(2001)
Robert M. Haralick, Layne T. Watson, Thomas J. Laffey, The Topographic Primal Sketch The International Journal of Robotics Research. ,vol. 2, pp. 50- 72 ,(1983) , 10.1177/027836498300200105
Olivier Faugeras, Three-dimensional computer vision: a geometric viewpoint computer aided architectural design futures. ,vol. 29, ,(1993)
Berthold Klaus Paul Horn, Extended Gaussian images Proceedings of the IEEE. ,vol. 72, pp. 1671- 1686 ,(1984) , 10.1109/PROC.1984.13073
A. Hoover, G. Jean-Baptiste, X. Jiang, P.J. Flynn, H. Bunke, D.B. Goldgof, K. Bowyer, D.W. Eggert, A. Fitzgibbon, R.B. Fisher, An experimental comparison of range image segmentation algorithms IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 18, pp. 673- 689 ,(1996) , 10.1109/34.506791
Lindsay Kleeman, Geoffrey R Taylor, Grasping Unknown Objects with a Humanoid Robot international conference on robotics and automation. pp. 191- 196 ,(2002)
P.J. Besl, R.C. Jain, Segmentation through variable-order surface fitting IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 10, pp. 167- 192 ,(1988) , 10.1109/34.3881
D. Marshall, G. Lukacs, R. Martin, Robust segmentation of primitives from range data in the presence of geometric degeneracy IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 23, pp. 304- 314 ,(2001) , 10.1109/34.910883
Jae-Moon Chung, T. Nagata, Reasoning simplified volumetric shapes for robotic grasping intelligent robots and systems. ,vol. 2, pp. 348- 353 ,(1995) , 10.1109/IROS.1995.526240
R.D. Rimey, F.S. Cohen, A maximum likelihood approach to segmenting range data international conference on robotics and automation. ,vol. 4, pp. 277- 286 ,(1988) , 10.1109/56.788