A Tool for Detection and Analysis of a Human Face for Aesthetical Quality Using Mobile Devices
A tool for mobile devices is presented to detect a human face in an image and analyze the detected face for its aesthetical quality. For the purpose of face detection, the tool uses two well known classifiers: Haar feature based cascade classifier and Local Binary Patterns (LBP) cascade classifier. Once a face is detected, the tool uses the Active Shape Model (ASM) algorithm to identify facial feature points and obtain raw data accordingly for aesthetical quality analysis. The analysis is carried out on the notion of Golden Ratio by finding ratios on the facial feature points obtained by using the ASM algorithm. To determine its effectiveness and limitations the tool is tested on animal faces, beautiful faces, ordinary faces, and unattractive faces. The statistics of results exposes distinctions between unattractive faces and beautiful/ordinary faces. However, no such distinction exists to separate beautiful faces from ordinary faces.