An Independent Evaluation of Subspace Face Recognition Algorithms

Component Analysis (ICA). The experimental procedure provides a platform of equal working conditions and examines the ten algorithms in the categories of expression, illumination, occlusion and temporal delay. The results are then evaluated based on a sequential combination of assessment tools that facilitate both intuitive and statistical decisiveness among the intra and inter-class comparisons. The 'best' categorical algorithms are then incorporated into a hybrid methodology, where the advantageous effects of fusion strategies are considered.