Dual Two-Dimensional Fuzzy Class Preserving Projections for Facial Expression Recognition

スポンサーリンク

概要

• 論文の詳細を見る

• This paper proposes a novel algorithm for image feature extraction-the dual two-dimensional fuzzy class preserving projections ((2D)2FCPP). The main advantages of (2D)2FCPP over two-dimensional locality preserving projections (2DLPP) are: (1) utilizing the fuzzy assignation mechanisms to construct the weight matrix, which can improve the classification results; (2) incorporating 2DLPP and alternative 2DLPP to get a more efficient dimensionality reduction method-(2D)2LPP.

• 2008-12-01

著者

• Ruan Qiuqi

  Institute Of Information Science Beijing Jiaotong University

• Wu Jiying

  Institute Of Information Science Beijing Jiaotong University

• ZHI Ruicong

  Institute of Information Science, Beijing Jiaotong University

• Zhi Ruicong

  Institute Of Information Science Beijing Jiaotong University

関連論文

• Neighbor-Aided Authentication Watermarking Based on a Chaotic System with Feedback
• Dual Two-Dimensional Fuzzy Class Preserving Projections for Facial Expression Recognition
• An Illumination Invariant Bimodal Method Employing Discriminant Features for Face Recognition
• Kernel TV-Based Quotient Image Employing Gabor Analysis and Its Application to Face Recognition
• Facial Expression Recognition via Sparse Representation

スポンサーリンク