Title :
3-D object recognition using fuzzy quaternions
Author :
Ngan, K.N. ; Kang, S.B.
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia
Abstract :
A new discrimination method based on fuzzy subset theory is proposed. This approach uses Zernike moment invariants of the silhouette of the unknown object to form a set of fuzzy-weighted quantities called fuzzy quaternions. These are matched against those of known objects at predetermined viewpoints. To speed up the recognition process, a modified simplex version of the Nelder-Mead algorithm is utilised. Results obtained demonstrate the potential of the fuzzy quaternion as a viable basis for discrimination.<>
Keywords :
fuzzy set theory; pattern recognition; 3-D object recognition; Nelder-Mead algorithm; Zernike moment invariants; discrimination method; fuzzy quaternions; fuzzy subset theory; silhouette;
Journal_Title :
Communications, Speech and Vision, IEE Proceedings I
