Robust 3-Dimensional Object Recognition using Stereo Vision and Geometric Hashing

Dijck van, Harry and Korsten, Maarten and Heijden van der, Ferdi (1996) Robust 3-Dimensional Object Recognition using Stereo Vision and Geometric Hashing. In: International Conference on Image Processing, ICIP, 16-19 September 1996 , Lausanne, Switserland.

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Abstract:	We propose a technique that combines geometric hashing with stereo vision. The idea is to use the robustness of geometric hashing to spurious data to overcome the correspondence problem, while the stereo vision setup enables direct model matching using the 3-D object models. Furthermore, because the matching technique relies on the relative positions of local features, we should be able to perform robust recognition even with partially occluded objects. We tested this approach with simple geometric objects using a corner point detector. We successfully recognized objects even in scenes where the objects were partially occluded by other objects. For complicated scenes, however, the limited set of model features and required amount of computing time, sometimes became a problem
Item Type:	Conference or Workshop Item
Copyright:	©1996 IEEE
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Signals and Systems (SAS)
Link to this item:	http://purl.utwente.nl/publications/16561
Official URL:	http://dx.doi.org/10.1109/ICIP.1996.560823
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