79 search results - page 11 / 16 » Facial Feature Extraction and Principal Component Analysis f... |
IBPRIA
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPC...
TNN
2008
13 years 7 months ago
2008
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
Recently great interest has been shown in the visual surveillance of public transportation systems. The challenge is the automated analysis of passenger’s behaviors with a set o...
PRL
2007
13 years 7 months ago
2007
Two-dimensional principal component analysis (2DPCA) is based on the 2D images rather than 1D vectorized images like PCA, which is a classical feature extraction technique in face...
AVSS
2009
IEEE
14 years 20 days ago
2009
IEEE
We present a novel approach to 3D face recognition using compact face signatures based on automatically detected 3D landmarks. We represent the face geometry with inter-landmark d...