Image-based 3D reconstruction has been employed in industrial metrology for micro-
measurements and quality control purposes. However, generating a highly-detailed and …

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 …

RGBD images, combining high-resolution color and lower-resolution depth from various
types of depth sensors, are increasingly common. One can significantly improve the …

Photometric stereo (PS) techniques nowadays remain constrained to an ideal laboratory
setup where modeling and calibration of lighting is amenable. To eliminate such restrictions …

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 …

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 …

Abstract Three‐dimensional (3D) measurement of non‐collaborative surfaces is still an open
research topic. This paper investigates and quantifies for the first time the effect of light …

Fine-detailed reconstructions are in high demand in many applications. However, most of
the existing RGB-D reconstruction methods rely on pre-calculated accurate camera poses to …

This paper presents a photometric stereo method that works with unknown natural
illumination without any calibration objects or initial guess of the target shape. To solve this …

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 …