Super-resolution reconstruction for face images based on particle filters method

作者：Huang Hua^*; Fan Xin; Qi Chun; Zhu Shi Hua

来源：Journal of Software, 2006, 17(12): 2529-2536.

DOI：10.1360/jos172529

• Appearance parameter
• Bayesian estimation
• Face image
• Face model
• Facial appearance
• Frontal face sequence
• Gray
• High resolution image
• Image fusion
• Image registration
• Inherent dilemma
• Location parameter
• Motion field
• Particle filter
• Probabilistic framework
• Robust estimation
• Super resolution (SR) reconstruction

Super-Resolution (SR) reconstruction is posed as a Bayesian estimation of the location and appearance parameters of a face model. Image registration and image fusion, the two steps for SR reconstruction, are combined into one unified probabilistic framework, in which the prior information about facial appearance and gray from the face model is incorporated into both of the steps. In addition, a particle filter based algorithm is proposed to achieve the estimation, i.e. SR reconstruction. The proposed approach avoids the inherent dilemma of the most traditional methods, in which it demands a high-resolution image to get an accurate and robust estimation of the motion field, while reconstructing a high-resolution image requires the accurate and robust estimation of motion field. Experiments performed on synthesized frontal face sequences show that the proposed approach gains superior performance both in registration and reconstruction.

• 出版日期2006