Challenges in automatic face recognition can be classified in several categories such as illumination, image quality, expression, pose, aging, and disguise. In this chapter, the authors focus on recognizing face images with disguise variations. Even though face recognition with disguise variations is a major challenge, the research studies on this topic are limited. In this study, first disguis...

In this paper, we proposed a logarithmic-quadratic proximal alternating direction method for structured variational inequalities. The new iterate is obtained by a convex combination of the previous point and the one generated by a projection-type method along a new descent direction. Global convergence of the new method is proved under certain assumptions. We also reported some numerical result...

Liver segmentation is a crucial step for aiding in liver surgery. Due to intensity overlapping, blurred edges, large variability in shape and appearance, and complex context with clutter features, it is still a challenging task. In this paper, we address this problem with an integrated variational model based on the idea of adaptive region growing and region appearance propagation, with which w...

This paper presents a novel variational segmentation framework combining shape priors and parametric intensity distribution modeling for extracting the fetal envelope on 3D obstetric ultrasound images. To overcome issues related to poor image quality and missing boundaries, we inject three types of information in the segmentation process: tissue-specific parametric modeling of pixel intensities...

Recently, variational methods have become increasingly more popular for perspective shape from shading due to their robustness under noise and missing information. So far, however, due to the strong nonlinearity of the data term, existing numerical schemes for minimising the corresponding energy functionals were restricted to simple explicit schemes that require thousands or even millions of it...