MATLAB Face Photo Standardization

MATLAB face photo standardization proves highly practical, serving as a critical tool during my graduation project. This technique enables standardized processing of facial images, enhancing clarity and accuracy through algorithmic adjustments. Such standardization is vital for facial data analysis and comparison across large datasets. MATLAB offers comprehensive functionalities including key image processing functions like imresize for dimension normalization, histeq for contrast enhancement, and detectFaceFeatures for facial landmark alignment. These tools facilitate efficient batch processing through automated scripts incorporating loops and conditional statements. The implementation typically involves preprocessing stages like noise reduction using medfilt2, geometric transformations via affine transforms, and illumination normalization through color space conversions. For future research and professional applications, I plan to continue leveraging MATLAB's Computer Vision Toolbox for advanced facial analysis tasks, potentially integrating deep learning approaches with trainNetwork for improved standardization accuracy.