Please use this identifier to cite or link to this item:
|Title:||A wavelet approach for partial occluded object recognition|
|Authors:||Lim, K.B. |
|Source:||Lim, K.B.,Du, T.H.,Hong, G.S. (2006-11). A wavelet approach for partial occluded object recognition. Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology 28 (SUPPL. 1) : 32-39. ScholarBank@NUS Repository.|
|Abstract:||A complete 2-D object recognition algorithm applicable for both standalone and partial occluded object is presented. The main contributions in our work are: we developed a scale and partial occlusion invariant boundary partition algorithm and a multiresolution feature extraction algorithm using wavelet. We also implemented a hierarchical matching strategy for feature matching to reduce computational load, but increase matching accuracy. Experiment result shows proposed recognition algorithm is robust to similarity transform and partial occlusion.|
|Source Title:||Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 21, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.