Description: 利用curvelet变换的特有的高维空间奇异性逼近能力进行人脸识别方面的理论探索-Make use of curvelet transform theory to explore face recognition Platform: |
Size: 2463744 |
Author:qw |
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Description: This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method.-This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This is based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method. Platform: |
Size: 432128 |
Author:Swati |
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Description: 关于curvelet变换的几篇文章，关于曲波变换用于人脸特征提取的人脸识别方面的文章。-Several articles on the curvelet transform, curvelet transform on the feature extraction for face recognition aspects of the article. Platform: |
Size: 2236416 |
Author:cc |
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Description: 以人脸为对象的识别
技术是一种最容易被接受的身份识别方法，因为其更高的安全性、可靠性和有效
性，受到人们的广泛关注。小波技术、Curvelet技术和分形技术是近几年发展起来
的新型图像处理工具，三种方法的结合在人脸识别领域更被得到了广泛的研究。-Human face
recognition
isan
identity
authentication
technique
whichis
easilyaccepted．It
has
got
more attention
because of
its
higher security,reliability
and effectiveness．Wavelet
technology
andcurvelet
technology andfractal
technology
ale
new toolsfor
image
processing．People pay
moreaRenfion to the studies of
combining
these methods
together
inface
recognition
field． Platform: |
Size: 3200000 |
Author:刘立京 |
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Search - curvelet face recognition