Traditional multi-view photometric stereo (MVPS) methods are often composed of multiple
disjoint stages, resulting in noticeable accumulated errors. In this paper, we present a neural …

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 …

We describe a system for high-resolution capture of moving 3D geometry, beginning with
dynamic normal maps from multiple views. The normal maps are captured using active …

This paper provides an introduction to photometric methods for image-based 3D shape
reconstruction and a survey of photometric stereo techniques. We begin with taxonomy of …

This paper addresses the problem of obtaining complete, detailed reconstructions of
textureless shiny objects. We present an algorithm which uses silhouettes of the object, as …

Reconstructing the shape of an object from images is an important problem in computer
vision that has led to a variety of solution strategies. This survey covers photometric stereo …

This indispensable text introduces the foundations of three-dimensional computer vision and
describes recent contributions to the field. Fully revised and updated, this much-anticipated …

We present an algorithm and the associated capture methodology to acquire and track the
detailed 3D shape, bends, and wrinkles of deforming surfaces. Moving 3D data has been …

We present a method to capture both 3D shape and spatially varying reflectance with a multi-
view photometric stereo technique that works for general isotropic materials. Our data …

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 …