Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72993
Title: 2-D occluded object recognition using wavelets
Authors: Du, T.
Lim, K.B. 
Hong, G.S. 
Yu, W.M.
Zheng, H.
Issue Date: 2004
Source: Du, T.,Lim, K.B.,Hong, G.S.,Yu, W.M.,Zheng, H. (2004). 2-D occluded object recognition using wavelets. Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004) : 227-232. ScholarBank@NUS Repository.
Abstract: A 2-D object recognition algorithm applicable for partial occluded object recognition is proposed. The boundary of object of interest is extracted first. Then we segment the boundary into curve segments using dominant points, followed by a proportional extension. Normalization is then performed for each segment to make them translation, orientation and scaling invariant. After that, each segment is represented by its wavelet descriptors at multi-scale. A hierarchical iterative matching is performed to identify the object from low to high resolution. Experiment result shows proposed recognition algorithm is robust to similarity transform, noise and occlusion, and it is computational efficient.
Source Title: Proceedings - The Fourth International Conference on Computer and Information Technology (CIT 2004)
URI: http://scholarbank.nus.edu.sg/handle/10635/72993
ISBN: 0769522165
Appears in Collections:Staff Publications

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