Dataset Splitting Techniques Comparison For Face Classification on CCTV Images

Emotion Classification on face images

Hallucinating Multiple Occluded CCTV Face Images of Different Resolutions

In this paper, we present a novel learning-based algorithm to super-resolve multiple partially occluded CCTV lowresolution face images. By integrating hierarchical patchwise alignment and inter-frame constraints into a Bayesian framework, we can probabilistically align multiple input images at different resolutions and recursively infer the high-resolution face image. We address the problem of ...

Representing Face Images for Emotion Classification

We compare the generalization performance of three distinct representation schemes for facial emotions using a single classification strategy (neural network). The face images presented to the classifiers are represented as: full face projections of the dataset onto their eigenvectors (eigenfaces); a similar projection constrained to eye and mouth areas (eigenfeatures); and finally a projection...

MEG: Multi-Expert Gender Classification from Face Images in a Demographics-Balanced Dataset

In this paper we focus on gender classification from face images, which is still a challenging task in unrestricted scenarios. This task can be useful in a number of ways, e.g., as a preliminary step in biometric identity recognition supported by demographic information. We compare a feature based approach with two score based ones. In the former, we stack a number of feature vectors obtained b...

Classification of Face Images Based on Gender using Dimensionality Reduction Techniques and SVM

This report presents gender classification based on facial images using dimensionality reduction techniques such as Principal Component Analysis (PCA) and Independent Component Analysis (ICA) along with Support Vector Machine (SVM). The input dataset is divided into training and testing dataset and experiments are performed by varying dataset size. The effect of performing image intensity norma...