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BONSAI: 3D Object Recognition Using Constrained Search
October 1991 (vol. 13 no. 10)
pp. 1066-1075

BONSAI, a model-based 3D object recognition system, is described. It identifies and localizes 3D objects in range images of one or more parts that have been designed on a computer-aided-design (CAD) system. Recognition is performed via constrained search of the interpretation tree, using unary and binary constraints (derived automatically from the CAD models) to prune the search space. Attention is focused on the recognition procedure, but the model-building, image acquisition, and segmentation procedures are also outlined. Experiments with over 200 images demonstrate that the constrained search approach to 3D object recognition has an accuracy comparable to that of previous systems.

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Index Terms:
3D object recognition; constrained search; BONSAI; CAD; model-building; image acquisition; segmentation; CAD; computerised pattern recognition; computerised picture processing
Citation:
P.J. Flynn, A.K. Jain, "BONSAI: 3D Object Recognition Using Constrained Search," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13, no. 10, pp. 1066-1075, Oct. 1991, doi:10.1109/34.99239
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