In this paper, we present a technique for estimating the geometry and reflectance of objects
using only a camera, flashlight, and optionally a tripod. We propose a simple data capture …

We conduct a thorough study of photometric stereo under nearby point light source
illumination, from modeling to numerical solution, through calibration. In the classical …

We propose a novel formulation for joint recovery of camera pose, object geometry and
spatially-varying BRDF. The input to our approach is a sequence of RGB-D images captured …

This paper tackles the photometric stereo problem in the presence of inaccurate lighting,
obtained either by calibration or by an uncalibrated photometric stereo method. Based on a …

Three-dimensional reconstruction of objects from shading information is a challenging task
in computer vision. As most of the approaches facing the Photometric Stereo problem use …

While conventional calibrated photometric stereo methods assume that light intensities and
sensor exposures are known or unknown but identical across observed images, this …

Neural approaches have shown a significant progress on camera-based reconstruction. But
they require either a fairly dense sampling of the viewing sphere or pre-training on an …

We introduce the first end-to-end learning-based solution to near-field Photometric Stereo
(PS), where the light sources are close to the object of interest. This setup is especially …

Most camera images are saved as 8-bit standard RGB (sRGB) compressed JPEGs. Even
when JPEG compression is set to its highest quality, the encoded sRGB image has been …

Visual inspections of nuclear power plant (NPP) reactors are important for understanding
current NPP conditions. Unfortunately, the existing visual inspection methods only provide …