Project 15: Door entry system
Feature analysis of a face using point separation / wavelets
Input: images of several faces
Operation: Identify key points (end of nose/ ears/ mouth). Measure distances and angles between these (for different orientations). Feed results into a statistical analysis routine. Identify for unknown image most likely match. Alternatively use the wavelet transform to generate ‘spectrum’ and identify key ‘frequencies’. Then do statistical matching. Wavelet transform (see Numerical recipes) needs to be downloaded). An alternative would be images of hands.
Output: Demo of door entry type system based on photo.
Coding: as desired (but not development of GUI)
Remarks: Difficulty quite hard.