Digital line and plane recognition using combinatorial optimization by multiresolutional representation
Résumé
Line and plane recognition is one of the essential tasks in the field of computer vision. While methods for digital plane recognition based on digital geometry can detect the global optimal solution, they require enormous computation time. In this paper, we propose a digital line/plane recognition method using multiresolutional representation as mixed integer linear programming problems which require much less computation time than the conventional methods. Our method reduces both the outliers of points and the search space of the line/plane parameters at low resolutions. Experimental results show that the computation time was reduced significantly by our method.
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