Linear representation of intra‐class discriminant features for small‐sample face recognition

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Face Recognition by Cognitive Discriminant Features

Face recognition is still an active pattern analysis topic. Faces have already been treated as objects or textures, but human face recognition system takes a different approach in face recognition. People refer to faces by their most discriminant features. People usually describe faces in sentences like ``She's snub-nosed'' or ``he's got long nose'' or ``he's got round eyes'' and so like. These...

متن کامل

Face Recognition Using Holistic Features and Linear Discriminant Analysis Simplification

This paper proposes an alternative approach to face recognition algorithm that is based on global/holistic features of face image and simplified linear discriminant analysis (LDA). The proposed method can overcome main problems of the conventional LDA in terms of large processing time for retraining when a new class data is registered into the training data set. The holistic features of face im...

متن کامل

Boosting linear discriminant analysis for face recognition

In this paper, we propose a new algorithm to boost performance of traditional Linear Discriminant Analysis (LDA)-based face recognition (FR) methods in complex FR tasks, where highly nonlinear face pattern distributions are often encountered. The algorithm embodies the principle of “divide and conquer”, by which a complex problem is decomposed into a set of simpler ones, each of which can be co...

متن کامل

Subspace Linear Discriminant Analysis for Face Recognition

In this paper we describe a holistic face recognition method based on subspace Linear Dis-criminant Analysis (LDA). The method consists of two steps: rst we project the face image from the original vector space to a face subspace via Principal Component Analysis where the subspace dimension is carefully chosen, and then we use LDA to obtain a linear classiier in the subspace. The criterion we u...

متن کامل

Sparse Graphical Representation based Discriminant Analysis for Heterogeneous Face Recognition

Face images captured in heterogeneous environments, e.g., sketches generated by the artists or compositegeneration software, photos taken by common cameras and infrared images captured by corresponding infrared imaging devices, usually subject to large texture (i.e., style) differences. This results in heavily degraded performance of conventional face recognition methods in comparison with the ...

متن کامل

ذخیره 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: The Journal of Engineering

سال: 2018

ISSN: 2051-3305,2051-3305

DOI: 10.1049/joe.2018.8306