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 …

Coarse depth maps can be enhanced by using the shape information from polarization
cues. We propose a framework to combine surface normals from polarization (hereafter …

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 …

Geometric surface information such as depth maps and surface normals can be acquired by
various methods such as stereo light fields, shape from shading and photometric stereo …

The popularity of low-cost RGB-D scanners is increasing on a daily basis. Nevertheless,
existing scanners often cannot capture subtle details in the environment. We present a novel …

We propose a novel system to reconstruct a high-quality hair depth map from a single
portrait photo with minimal user input. We achieve this by combining depth cues such as …

Analyzing the polarimetric properties of reflected light is a potential source of shape
information. However, it is well-known that polarimetric information contains fundamental …

Three-dimensional (3D) modeling of non-linear objects from stylized sketches is a challenge
even for computer graphics experts. The extrapolation of object parameters from a stylized …

Photometric stereo is a widely used optical 3-D reconstruction method, which has
advantages for high-resolution and well-detailed 3-D reconstruction even in weak texture …

The need for an efficient method of integration of a dense normal field is inspired by several
computer vision tasks, such as shape-from-shading, photometric stereo, deflectometry …