Statistical Facial Image Characterization of Perceived Translucency Based on Principal Component Analysis
نویسندگان
چکیده
منابع مشابه
Facial Expressions recognition Based on Principal Component Analysis (PCA)
The facial expression recognition is an ocular task that can be performed without human discomfort, is really a speedily growing on the computer research field. There are many applications and programs uses facial expression to evaluate human character, judgment, feelings, and viewpoint The process of rrecognizing facial expression is a hard task due to the several circumstances such as facial ...
متن کاملA principal component analysis of facial expressions
Pictures of facial expressions from the Ekman and Friesen set (Ekman, P., Friesen, W. V., (1976). Pictures of facial affect. Palo Alto, California: Consulting Psychologists Press) were submitted to a principal component analysis (PCA) of their pixel intensities. The output of the PCA was submitted to a series of linear discriminant analyses which revealed three principal findings: (1) a PCA-bas...
متن کاملImage Modeling based on Kernel Principal Component Analysis
This article presents a method for estimating a generative image model based on Kernel Principal Component Analysis (KPCA). In contrast to other patch-based modeling approaches such as PCA, ICA or sparse coding, KPCA is capable of capturing nonlinear interactions between the basis elements of the image. The original form of KPCA, however, can be only applied to strongly restricted image classes...
متن کاملPrincipal component analysis for facial animation
This paper presents a technique for animating a threedimensional face model through the application of Principal Component Analysis (PCA). Using PCA has several advantages over traditional approaches to facial animation because it reduces the number of parameters needed to describe a face and confines the facial motion to a valid space to prevent unnatural contortions. First real data is optica...
متن کاملFacial Expression Recognition Using Principal Component Analysis
258 Abstract— Expression detection is useful as a non-invasive method of lie detection and behaviour prediction. However, these facial expressions may be difficult to detect to the untrained eye. In this paper we implements facial expression recognition techniques using Principal Component analysis (PCA). Experiments are performed using standard database like Japanese Female Facial Expression (...
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: Journal of Society of Cosmetic Chemists of Japan
سال: 2015
ISSN: 0387-5253,1884-4146
DOI: 10.5107/sccj.49.95