In this paper, we introduce SDM-UniPS, a groundbreaking Scalable, Detailed, Mask-free,
and Universal Photometric Stereo network. Our approach can recover astonishingly intricate …

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 …

This paper proposes an uncalibrated photometric stereo method for non-Lambertian scenes
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …

Data association is an essential component of any human tracking system. The majority of
current methods, such as bipartite matching, incorporate a limited-temporal-locality of the …

This paper addresses the problem of photometric stereo for non-Lambertian surfaces.
Existing approaches often adopt simplified reflectance models to make the problem more …

摘要三维重建在视觉方面具有很高的研究价值, 在机器人视觉导航, 智能车环境感知系统以及
虚拟现实中被广泛应用. 本文对**年来国内外基于视觉的三维重建方法的研究工作进行了总结和 …

Photometric stereo faces challenges from non-Lambertian reflectance in real-world
scenarios. Systematically measuring the reliability of photometric stereo methods in …

This paper addresses the problem of photometric stereo, in both calibrated and uncalibrated
scenarios, for non-Lambertian surfaces based on deep learning. We first introduce a fully …

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 …

Most existing nighttime visibility enhancement methods focus on low light. Night images,
however, do not only suffer from low light, but also from man-made light effects such as glow …