Please use this identifier to cite or link to this item:
|Title:||Fuzzy quaternion approach to object recognition incorporating Zernike moment invariants|
|Authors:||Ngan, King Ngi |
Kang, Sing Bing
|Source:||Ngan, King Ngi,Kang, Sing Bing (1990). Fuzzy quaternion approach to object recognition incorporating Zernike moment invariants. Proceedings - International Conference on Pattern Recognition 1 : 288-290. ScholarBank@NUS Repository.|
|Abstract:||A novel approach to 3-D object recognition based on fuzzy subset theory is described. This method 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. The determination of the Zernike moment invariants can be faster if the equivalent contour integrals are calculated instead. By employing a novel ρ-correction scheme, errors due to the digitization are reduced. To speed up the recognition process, a modified Nelder-Mead simplex method is used. Preliminary results demonstrate the potential of the fuzzy quaternion as a viable basis for discrimination. It is concluded that the primary merits of this approach are the ease of model formation, the simplicity of the recognition scheme, and the speed of object recognition. Its disadvantages include the inability to recognize occluded objects and a poor object recognition rate for high perspective distortion of objects.|
|Source Title:||Proceedings - International Conference on Pattern Recognition|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Apr 20, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.