Log-Gabor Filter for Age-Related Facial Reconstruction
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
This paper presents a facial reconstruction approach using Log-Gabor filters to capture age-related facial changes. The technique proves highly effective, achieving superior reconstruction results. By implementing Log-Gabor filters through multi-scale frequency decomposition - typically involving 4-8 scales and 6-8 orientations - the method accurately reconstructs facial images that reflect aging patterns. Key implementation steps include: 1) Converting input images to grayscale and normalizing illumination, 2) Applying Log-Gabor filter banks with specific bandwidth parameters (usually 0.5-1.5 octaves), 3) Extracting phase and magnitude information from filter responses, and 4) Reconstructing facial features using inverse transformation algorithms. This approach holds significant value for studying age-related facial characteristics and developing applications in age progression modeling, forensic anthropology, and biometric systems.
- Login to Download
- 1 Credits