H.6. Pattern Recognition
1. 2D Dimensionality Reduction Methods without Loss

S. Ahmadkhani; P. Adibi; A. ahmadkhani

Volume 7, Issue 1 , Winter 2019, , Pages 203-212

  In this paper, several two-dimensional extensions of principal component analysis (PCA) and linear discriminant analysis (LDA) techniques has been applied in a lossless dimensionality reduction framework, for face recognition application. In this framework, the benefits of dimensionality reduction were ...  Read More

H.5.11. Image Representation
2. Face Recognition using an Affine Sparse Coding approach

M. Nikpour; R. Karami; R. Ghaderi

Volume 5, Issue 2 , Summer 2017, , Pages 223-234

  Sparse coding is an unsupervised method which learns a set of over-complete bases to represent data such as image and video. Sparse coding has increasing attraction for image classification applications in recent years. But in the cases where we have some similar images from different classes, such as ...  Read More

H.6.5.4. Face and gesture recognition
3. Video-based face recognition in color space by graph-based discriminant analysis

S. Shafeipour Yourdeshahi; H. Seyedarabi; A. Aghagolzadeh

Volume 4, Issue 2 , Summer 2016, , Pages 193-201

  Video-based face recognition has attracted significant attention in many applications such as media technology, network security, human-machine interfaces, and automatic access control system in the past decade. The usual way for face recognition is based upon the grayscale image produced by combining ...  Read More