Polarization imaging can retrieve inaccurate objects' 3D shapes with fine textures, whereas
coarse but accurate depths can be provided by binocular stereo vision. To take full …

We present a new data-driven approach with physics-based priors to scene-level normal
estimation from a single polarization image. Existing shape from polarization (SfP) works …

This paper makes a first attempt to bring the Shape from Polarization (SfP) problem to the
realm of deep learning. The previous state-of-the-art methods for SfP have been purely …

Multi-view stereo relies on feature correspondences for 3D reconstruction, and thus is
fundamentally flawed in dealing with featureless scenes. In this paper, we propose …

State-of-the-art solutions for Shape-from-Polarization (SfP) suffer from a speed-resolution
tradeoff: they either sacrifice the number of polarization angles measured or necessitate …

This paper proposes a novel and more accurate iris segmentation framework to
automatically segment iris region from the face images acquired with relaxed imaging under …

Polarization three-dimensional (3D) imaging technology has received extensive attention in
recent years because of its advantages of high accuracy, long detection distance, simplicity …

**年来偏振三维成像技术因具有精度高, 作用距离远和受杂散光影响小等特点得以蓬勃发展,
但利用目标反射光偏振特性进行法向量精确求解的问题一直没有真**得到解决 …

In this paper, we propose a hybrid depth imaging system in which a polarisation camera is
augmented by a second image from a standard digital camera. For this modest increase in …

Polarization has been used to solve a lot of computer vision tasks such as Shape from
Polarization (SfP). But existing methods suffer from ambiguity problems of polarization. To …