3D face reconstruction is a very challenging problem in computer vision, and is used as a prerequisite for many important vision tasks, e.g., face recognition and face frontalization. The importance of 3D face reconstruction is that we can estimate illumination and pose information by using the 3D shape of the face. Since the human face is a non-rigid 3D object, estimating the 2D shape of the f...

Background: Breast cancer is the most common cancer in women and its treatment includes various surgeries. Breast-Q is a new patient-reported outcome instrument for breast surgery and it should be validated appropriately for clinical research. This study aimed to develop the Persian version of the Breast-Q and validate the reconstruction module to evaluate the quality of life and satisfaction o...

3D face reconstruction is a popular area within the computer vision domain. 3D face reconstruction should ideally be achieved easily and cost-effectively, without requiring specialized equipment to estimate 3D shapes. As a result of this, many techniques for retrieving 3D shapes from 2D images have been proposed. In this paper, a novel method for 3D face reconstruction based on photometric ster...

In this paper we introduce silhouette constraints to improve the quality of unconstrained 3D face reconstruction. Previously, state of the art unconstrained 3D face reconstruction techniques relied solely on photometric consistency and matching sparse facial landmarks. We show that constraining the silhouettes of the 3D reconstruction to match silhouettes in the input images can further improve...

BACKGROUND Neck reconstruction is considered as one of the most important surgeries in cosmetic and reconstructive surgery. The present study aimed to assess the results of reconstructive surgery of extensive face and neck burning scars using tissue expanders. METHODS This descriptive prospective study was conducted on 36 patients with extensive burning scars on the neck and face. Operatio...

This paper proposes an encoder-decoder network to disentangle shape features during 3D face reconstruction from single 2D images, such that the tasks of reconstructing accurate 3D face shapes and learning discriminative shape features for face recognition can be accomplished simultaneously. Unlike existing 3D face reconstruction methods, our proposed method directly regresses dense 3D face shap...

The 3D shape reconstruction, from 2D images is an converse problem, and is therefore mathematically poorly posed. The solution to 3D shape reconstruction problem is to using a model based approach. Our paper presents an analysis by synthesis method for solving3D face reconstruction problems, using the anatomical landmarks and intensity from 2D frontal face images. To improve the quality of 3D s...

INTRODUCTION At face level, tissue transplantation is one of the main methods in reconstructive surgery, generally used when local and locoregional reserves are outworked. To reconstruct different face units after trauma or oncologic resection we use different methods, according to dimensions, nature and site of the defect. In cases with extensive defects or mutilating sequelas, face transplant...

This article presents a methodology for reconstruction of 3D faces which is based on stereoscopic images of the scene using active and passive surface reconstruction. A sequence of gray patterns is generated, which are projected onto the scene and their projection recorded by a pair of stereo cameras. The images are rectified to make coincident their epipolar planes and so to generate a stereo ...

In previous work [2] we considered the problem of image interpolation from an adaptive optimal recovery point of view. We showed how a training set S determines a quadratic signal class and how to use this signal class to perform image interpolation. In [2] the training set S was taken from the low resolution version of the image we were interpolating. In this paper we continue our discussion o...