Facial beautification induced by plastic surgery, cosmetics or retouching has the ability to
substantially alter the appearance of face images. Such types of beautification can …

A no-reference (NR) learning-based approach to assess image quality is presented in this
paper. The devised features are extracted from wide perceptual domains, including …

With the shift towards smart objects and automated services in many industries, the health
and beauty industries are also becoming increasingly involved in AI-driven smart systems …

Developing an automatic age estimation method toward human faces continues to possess
an important role in computer vision and pattern recognition. Many studies regarding facial …

Deep convolutional neural networks (DCNN) have demonstrated their potential to generate
reasonable results in image inpainting. Some existing method uses convolution to generate …

We proposed a blind image quality assessment model which used classification and
prediction for three-dimensional (3D) image quality assessment (denoted as CAP-3DIQA) …

Makeup is a simple and easy instrument that can alter the appearance of a person's face,
and hence, create a presentation attack on face recognition (FR) systems. These attacks …

This paper presents a comparison study on visual quality scores obtained from single-
stimulus and double-stimulus approaches for pattern images, respectively. We also conduct …

Human's perception plays a very important role on image assessment, especially for
stereoscopic images. In general, viewing stereoscopic 3D images will cause visual fatigue …

On the social media platforms, the filters for digital retouching and face beautification have
become a common trend. With the availability of easy-to-use image editing tools, the …