Statistical Discrimination of Facial Images with Verbal Feature Variables
نویسندگان
چکیده
منابع مشابه
3D Facial Feature Location with Spin Images
This paper shows an original 3D facial feature localization method. The localization of feature points in the face is a relevant step that allows the normalization of the data in size and orientation. This stage is essential previous to a range data calculation or a verification process. The localization procedure proposed is based on both, clustering techniques over discrete curvatures calcula...
متن کاملDiscriminant local feature analysis of facial images
In the traditional DKL algorithm, PCA is performed before LDA to achieve stable numerical computation and good generalization in small-sample-size problems. However, PCA is based on the global information, ignoring the significant local characteristics. This paper will propose a novel algorithm called Discriminant Local Feature Analysis based on a broader understanding of LFA features. In the a...
متن کاملFacial Feature Detection in Near-infrared Images
We propose to employ near-infrared (NIR) images for face recognition in reduced illumination or total darkness. A homomorphic processing technique has been developed to effectively reduce the artifact of NIR images [1]. In this paper, we proceed to construct a facial feature detection system that would function independent of the surrounding lighting condition. Firstly, we propose a classificat...
متن کاملDiscrimination with Many Variables
Many statistical methods for discriminant analysis do not adapt well or easily to situations where the number of variables is large, possibly even exceeding the number of cases in the training set. We explore a variety of methods for providing robust identiication of future samples in this situation. We develop a range of exible Bayesian methods, and primarily a new hierarchical covariance comp...
متن کاملCompression of Color Facial Images using Feature Correction
A Feature Correction Two Stage Vector Quantization (FC2VQ) algorithm was previously developed to compress gray-scale photo ID pictures. This algorithm is extended to color images in this paper. Three options are compared, which apply the FC2VQ algorithm in R-G-B, YCbCr, and Karhunen-Loeve transform (KLT) color spaces, respectively. The RGB-FC2VQ algorithm is found to yield better image quality ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Kodo Keiryogaku (The Japanese Journal of Behaviormetrics)
سال: 1997
ISSN: 0385-5481,1880-4705
DOI: 10.2333/jbhmk.24.58