Super-Resolution for Face Recognition Under Changing Pose and Illumination
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First row: Low resolution input Video |
| We propose a new method for enhancing the resolution of low-resolution facial image by handling the facial image non-uniformly. We segment facial image into different regions corresponding to different motion models and estimate the motions non-uniformly of tracked regions in the consecutive frames. The experimental results provide a proof of the concept for our method and show that our method gives better results than handling the face uniformly. |
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Fusion of Side Face and Gait for Human Recognition
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3D Modeling of Vehicles from Video
A psychological Adaptive Model for Video
