Face recognition is a popular and well-studied area with wide applications in our society. However, racial bias had been proven to be inherent most State Of The Art (SOTA) face systems. Many investigative studies on algorithms have reported higher false positive rates of African subjects cohorts than the other cohorts. Lack large-scale image databases public domain one main restrictions studyin...

In this work, we introduce the concept of pixel-level face image quality that determines utility single pixels in a for recognition. We propose training-free approach to assess qualities given an arbitrary recognition network. To achieve this, model-specific value input is estimated and used build sample-specific regression model. Based on model, quality-based gradients are back-propagated conv...

In this paper we present a novel approach for face image coding. The proposed method makes a use of the features of video encoders like motion prediction. At first encoder selects appropriate prototype from the database and warps it according to features of encoding face. Warped prototype is placed as first I frame. Encoding face is placed as second frame as P frame type. Information about feat...

Multi-view face detection in open environments is a challenging task, due to the wide variations in illumination, face appearances and occlusion. In this paper, a robust method for multi-view face detection in open environments, using a combination of Gabor features and neural networks, is presented. Firstly, the effect of changing the Gabor filter parameters (orientation, frequency, standard d...