Research on Low-Resolution Image Matching and Recognition Algorithm Based on Unified Feature Space

[1]  Rajiv Kapoor,et al.  An Efficient Approach for the Recognition of Hand Gestures from Very Low Resolution Images , 2015, 2015 Fifth International Conference on Communication Systems and Network Technologies.

[2]  Zhenyu Wang,et al.  Low-resolution degradation face recognition over long distance based on CCA , 2015, Neural Computing and Applications.

[3]  Sébastien Lefèvre,et al.  A comparative study on multivariate mathematical morphology , 2007, Pattern Recognit..

[4]  Yi-Hung Liu,et al.  Low-Resolution Tactile Image Recognition for Automated Robotic Assembly Using Kernel PCA-Based Feature Fusion and Multiple Kernel Learning-Based Support Vector Machine , 2014 .

[5]  Kin-Man Lam,et al.  Simultaneous Hallucination and Recognition of Low-Resolution Faces Based on Singular Value Decomposition , 2015, IEEE Transactions on Circuits and Systems for Video Technology.

[6]  Ioannis A. Kakadiaris,et al.  Semi-coupled basis and distance metric learning for cross-domain matching: Application to low-resolution face recognition , 2014, IEEE International Joint Conference on Biometrics.

[7]  Sivaram Prasad Mudunuri,et al.  Low Resolution Face Recognition Across Variations in Pose and Illumination , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Chuancai Liu,et al.  Image annotation based on feature fusion and semantic similarity , 2015, Neurocomputing.

[9]  Jie Liu,et al.  A Posteriori Error Estimates with Computable Upper Bound for the Nonconforming Rotated Q 1 Finite Element Approximation of the Eigenvalue Problems , 2014 .

[10]  Chun Qi,et al.  From Local Geometry to Global Structure: Learning Latent Subspace for Low-resolution Face Image Recognition , 2015, IEEE Signal Processing Letters.