Recently, it was shown that excellent results can be achieved in both face landmark localization and pose-invariant face recognition. These breakthroughs are attributed to the efforts of the community to manually annotate facial images in many different poses and to collect 3D faces data. In this paper, we propose a novel method for joint face landmark localization and frontal face reconstructi...

BACKGROUND Devastating fourth-degree electrical injuries to the face and head pose significant reconstructive challenges. To date, there have been few peer-reviewed articles in the literature that describe those reconstructive challenges. The authors present the largest case series to date that describes the management of these injuries, including the incorporation of face transplantation. ME...

This paper presents regression methods for estimation of head pose from occluded 2-D face images. The process primarily involves reconstructing a face from its occluded image, followed by classification. Typical methods for reconstruction assume that the pixel errors of the occluded regions are independent. However, such an assumption is not true in the case of occlusion, because of its inheren...

Kernel-based nonlinear characteristic extraction and classification algorithms are popular new research directions in machine learning. In this paper, we propose an improved photometric stereo scheme based on improved kernel-independent component analysis method to reconstruct 3D human faces. Next, we fetch the information of 3D faces for facial face recognition. For reconstruction, we obtain t...

This paper proposes a learning scheme based still image super-resolution reconstruction algorithm. Superresolution reconstruction is proposed as a binary classification problem and can be solved by conditional class probability estimation. Assuming the probability takes the form of additive logistic regression function, AdaBoost algorithm is used to predict the probability. Experiments on face ...

In this work we propose a new method of 3D face computational photography based on a facial expressions training dataset composed of both facial range images (3D geometry) and facial texture (2D photo). The method allows to obtain a 3D representation of facial geometry given only a 2D photo and a set of facial landmarks, which undergoes a series of transformations through the estimated texture ...

The exemplar-based face sketch synthesis method generally contains two steps: neighbor selection and reconstruction weight representation. Pixel intensities are widely used as features by most of the existing exemplar-based methods, which lacks of representation ability and robustness to light variations and clutter backgrounds. We present a novel face sketch synthesis method combining generati...

In this paper, a novel two-phase framework is presented to deal with the face hallucination problem. In the first phase, an initial high-resolution (HR) face image is produced in patch-wise. Each input lowresolution (LR) patch is represented as a linear combination of training patches and the corresponding HR patch is estimated by the same combination coefficients. Realizing that training patch...

OBJECTIVE Severe ballistic injuries to the face create complex, composite defects of 2 facial subunits. These injuries have an extremely high economic impact for the Medicare system. The surgical goal with these patients is to restore basic functions of the face with a rapid morphological improvement. Our hypothesis is as follows: Early restoration of facial segments with a single free multiple...

INTRODUCTION Skin cancer is the most common malignancy worldwide, often occurring on the face, where the cosmetic outcome of treatment is paramount. A number of skin cancer-specific patient-reported outcome measures (PROMs) exist, however none adequately consider the difference in type of reconstruction from a patient's point of view. It is the aim of this study to 'anglicise' (to UK English) a...