학술논문
Multimodal expression-invariant face recognition using dual-tree complex wavelet transform
Document Type
Conference
Source
2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP) Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on. :154-158 Sep, 2013
Subject
Language
ISSN
2166-6776
2166-6784
2166-6784
Abstract
A new multimodal face recognition method which extracts features of rigid and semi-rigid regions of the face using Dual-Tree Complex Wavelet Transform (DT-CWT) is proposed. DT-CWT decomposes range and intensity images into eight sub-images consisting of six band-pass sub-images to represent face details and two low-pass sub-images to represent face approximates. In this work, support vector machine (SVM) has been used as the classifier. The proposed method has been evaluated using the face BU-3DFE dataset containing a wide range of expression changes. Findings include the overall identification rate of 98.1% and the overall verification rate of 99.3% at 0.1% false acceptance rate.