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3-D object recognition using adaptive scale MEGI

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3 Author(s)
H. Matsuo ; Dept. of Electr. & Comput. Eng., Nagoya Inst. of Technol., Japan ; J. Funabashi ; A. Iwata

We propose a method for recognition of a 3-D object using a multi scale description of the object and adaptive matching. MEGI model is a description model to represent arbitrary shapes. However, many MEGI elements are necessary to represent uneven or carved surfaces with accuracy, so it is difficult to use them for recognition. As a solution, we make a tree which corresponds to the multi scale description of the object. While tracing the tree from the root which corresponds the coarsest representation to leaves, a matching algorithm presented in this paper assigns a different scale to each part of the object adaptively and estimates the matching score effectively

Published in:

Pattern Recognition, 1996., Proceedings of the 13th International Conference on  (Volume:4 )

Date of Conference:

25-29 Aug 1996