Recent progress on photometric stereo extends the technique to deal with general materials
and unknown illumination conditions. However, due to the lack of suitable benchmark data …

Algorithms for computational imaging and computer vision are rapidly evolving, and
hardware must follow suit: the next generation of image signal processors (ISPs) must be …

We put forward a principled variational approach for up-sampling a single depth map to the
resolution of the companion color image provided by an RGB-D sensor. We combine …

We present a novel 3D face reconstruction technique that leverages sparse photometric
stereo (PS) and latest advances on face registration/modeling from a single image. We …

A novel depth super-resolution approach for RGB-D sensors is presented. It disambiguates
depth super-resolution through high-resolution photometric clues and, symmetrically, it …

This study explores the use of photometric techniques (shape-from-shading and
uncalibrated photometric stereo) for upsampling the low-resolution depth map from an RGB …

In this paper, we propose a method to refine geometry of 3D meshes from the Kinect fusion
by exploiting shading cues captured from the infrared (IR) camera of Kinect. A major benefit …

In this paper, a new system for automatic drawing of bas-reliefs is presented. The system
consists of a fringe projection scanner accompanied by a photometric stereo component. At …

A novel approach towards depth map super-resolution using multi-view uncalibrated
photometric stereo is presented. Practically, an LED light source is attached to a commodity …

Three dimensional reconstruction of objects using a top-down illumination photometric
stereo imaging setup and a hand-held mobile phone device is demonstrated. By employing …