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Face Recognition across Non-Uniform Motion Blur, Illumination, and Pose | Matlab Image Processing Final Year IEEE project with source code.
To buy this project in ONLINE, Contact:
🔗Email: [email protected],
🌐Website: https://www.jpinfotech.org

🚀IEEE Base Paper Title: Face Recognition across Non-Uniform Motion Blur, Illumination, and Pose.
💡Implementation Code: MATLAB.
🛠️Tool details: MATLABR2013A.
💰Cost (In Indian Rupees): Rs.3000/

📘IEEE Base paper Abstract:
Existing methods for performing face recognition in the presence of blur are based on the convolution model and cannot handle non-uniform blurring situations that frequently arise from tilts and rotations in hand-held cameras. In this paper, we propose a methodology for face recognition in the presence of space-varying motion blur comprising of arbitrarily-shaped kernels. We model the blurred face as a convex combination of geometrically transformed instances of the focused gallery face, and show that the set of all images obtained by non-uniformly blurring a given image forms a convex set. We first propose a non-uniform blur-robust algorithm by making use of the assumption of a sparse camera trajectory in the camera motion space to build an energy function with l1-norm constraint on the camera motion. The framework is then extended to handle illumination variations by exploiting the fact that the set of all images obtained from a face image by non-uniform blurring and changing the illumination forms a bi-convex set. Finally, we propose an elegant extension to also account for variations in pose.

📚REFERENCE:
Abhijith Punnappurath, Ambasamudram Narayanan Rajagopalan, Senior Member, IEEE, Sima Taheri, Student Member, IEEE, Rama Chellappa, Fellow, IEEE, and Guna Seetharaman, Fellow, IEEE, “Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose”, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 24, NO. 7, JULY 2015.

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