In this work, we present a new method for 3D face reconstruction from sparse-view RGB images. Unlike previous methods which are built upon morphable models (3DMMs) with limited details, leverage an implicit representation to encode rich geometric features. Our overall pipeline consists of two major components, including geometry network, learns deformable neural signed distance function (SDF) a...

Among various surgical methods introduced to optimize esthetic results, robotic surgery has gradually expanded in scope. As incision, approach, and operation view in robotic surgery differ from existing surgical methods, we should consider reconstruction from a different perspective. We recently experienced two mandibular reconstruction cases after tumor ablative surgery with robotic neck disse...

Recently, a lot of attention has been focused on the incorporation 3D data into face analysis and its applications. Despite providing more accurate representation face, facial images are complex to acquire than 2D pictures. As consequence, great effort invested in developing systems that reconstruct faces from an uncalibrated image. However, 3D-from-2D reconstruction problem is ill-posed, thus ...

This paper presents a progressive algorithm by which we can narrow down the searching domain for face identification and reconstruct various 3D objects from a single freehand line sketch drawing in short time. The sketch drawings served as an input for the reconstruction process in this paper are obtained from an inaccurate freehand sketch of a 3D wireframe object, which is the edge–vertex grap...

The main contribution of this paper is to present a novel method for automatic 3D face recognition based on sampling a 3D mesh structure in the presence of noise. A structured light method using line projection is employed where a 3D face is reconstructed from a single 2D shot. The process from image acquisition to recognition is described with focus on its real-time operation. Recognition resu...

This paper presents a novel approach to aid face recognition: Using multiple views of a face, we construct a 3D model instead of directly using the 2D images for recognition. Our framework is designed for videos, which contain many instances of a target face from a sequence of slightly differing views, as opposed to a single static picture of the face. Specifically, we reconstruct the 3D face s...

3D face reconstruction from a single image is classic computer vision problem with many applications. However, most works achieve photos, and little attention has been paid to other portrait forms. In this paper, we propose learning-based approach reconstruct sketch. To overcome the of no paired sketch-3D data for supervised learning, introduce photo-to-sketch synthesis technique obtain trainin...

With the prevalence of surveillance systems, face recognition is crucial to aiding the law enforcement community and homeland security in identifying suspects and suspicious individuals on watch lists. However, face recognition performance is severely affected by the low face resolution of individuals in typical surveillance footage, oftentimes due to the distance of individuals from the camera...