Vision-based bin-picking: recognition and localization of multiple complex objects using simple visual cues

@inproceedings{Rahardja1996VisionbasedBR,
  title={Vision-based bin-picking: recognition and localization of multiple complex objects using simple visual cues},
  author={Krisnawan Rahardja and Akio Kosaka},
  booktitle={IROS},
  year={1996}
}
Vision based bin picking is increasingly more di cult as the complexity of target objects increases We propose an e cient solution where complex objects are su ciently represented by simple features cues thus invariance to object complexity is established The re gion extraction algorithm utilized in our approach is capable of providing the focus of attention to the simple cues as a trigger toward recognition and pose estima tion Successful bin picking experiments of industrial objects using… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 12 references

Niwakawa, \A Handling System for Randomly Placed Casting Parts Using Plane Fitting Technique,

T. Onda, H. Igura
Proc. of IEEE/RSJ IROS 1995, • 1995
View 1 Excerpt

and M

S. H. Wang, R. L. Cromwell, A. C. Kak, I. Kimura
Osada, \Model-based vision for robotic manipulation of twisted tubular parts: Using a ne transforms and heuristic search," in Proceedings of IEEE International Conference on Robotics and Automation • 1994
View 1 Excerpt

Mulgaonkar, \Automatic vision programming,

P.G.C.-H. Chen
Computer Vision, Graph- ics and Image Processing, • 1992
View 2 Excerpts

Surfaces in Range Image Understanding

Springer Series in Perception Engineering • 1988
View 2 Excerpts

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence • 1986
View 1 Excerpt

Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

IEEE Transactions on Pattern Analysis and Machine Intelligence • 1984
View 1 Excerpt

Digital Picture Pro- cessing

A. Rosenfeld, A. Kak
Academic Press • 1982
View 2 Excerpts

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