This state of the art report covers reconstruction methods for transparent and specular
objects or phenomena. While the 3D acquisition of opaque surfaces with Lambertian …

We tackle the problem of generating novel-view images from collections of 2D images
showing refractive and reflective objects. Current solutions assume opaque or transparent …

In this paper we consider the problem of reconstructing the 3D position and surface normal
of points on an unknown, arbitrarily-shaped refractive surface. We show that two viewpoints …

Capturing the 3D geometry of transparent objects is a challenging task, ill-suited for general-
purpose scanning and reconstruction techniques, since these cannot handle specular light …

Over the last decade, digital photography has entered the mainstream with inexpensive,
miniaturized cameras for consumer use. Digital projection is poised to make a similar …

Numerous techniques have been proposed for reconstructing 3D models for opaque objects
in past decades. However, none of them can be directly applied to transparent objects. This …

Photometric stereo is widely used for 3D reconstruction. However, its use in scattering media
such as water, biological tissue and fog has been limited until now, because of forward …

Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable
technology with many applications in computer vision and graphics. However, the depth …

Acquiring transparent, refractive objects is challenging as these kinds of objects can only be
observed by analyzing the distortion of reference background patterns. We present a new …

This paper proposes the design of a Facial Expression Recognition (FER) system based on
deep convolutional neural network by using facial parts. In this work, a simple solution for …