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 …

This paper presents a near-light photometric stereo method for spatially varying
reflectances. Recent studies in photometric stereo proposed learning-based approaches to …

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 …

Abstract 3D reconstruction from shading information through Photometric Stereo is
considered a very challenging problem in Computer Vision. Although this technique can …

Abstract 3D shape recovery using photometric stereo (PS) gained increasing attention in the
computer vision community in the last three decades due to its ability to recover the thinnest …

In this paper we present a differential approach to photo-polarimetric shape estimation. We
propose several alternative differential constraints based on polarisation and photometric …

Shape from shading with multiple light sources is an active research area, and a diverse
range of approaches have been proposed in recent decades. However, devising a robust …

Recovering the shape and reflectance of non-Lambertian surfaces remains a challenging
problem in computer vision since the view-dependent appearance invalidates traditional …

In this paper, we propose a novel method for joint recovery of camera pose, object geometry
and spatially-varying Bidirectional Reflectance Distribution Function (svBRDF) of 3D scenes …

This paper describes a linear solution method for near-light photometric stereo by exploiting
symmetric light source arrangements. Unlike conventional non-convex optimization …