Keyframe-based SLAM has achieved great success in terms of accuracy, efficiency and
scalability. However, due to parallax requirement and delay of map expansion, traditional …

Visual localization is of great importance in robotics and computer vision. Recently, scene
coordinate regression based methods have shown good performance in visual localization …

Structure-from-motion (SfM) largely relies on feature tracking. In image sequences, if
disjointed tracks caused by objects moving in and out of the field of view, occasional …

Background subtraction is a commonly used technique in computer vision for detecting
objects. While there is an extensive literature regarding background subtraction, most of the …

Feature tracking as one of the most important components of 3D reconstruction based on
structure from motion (SFM) has attracted a wide range of attention from computer vision …

We present a system that automatically recovers scene geometry and illumination from a
video, providing a basis for various applications. Previous image based illumination …

Accurate dense 3D reconstruction of dynamic scenes from natural images is still very
challenging. Most previous methods rely on a large number of fixed cameras to obtain good …

Construction of three‐dimensional structures from video sequences has wide applications
for intelligent video analysis. This paper summarizes the key issues of the theory and …

In recent years, a 3D reconstruction based on structure from motion (SFM) has attracted
much attention from the communities of computer vision and graphics. It is well known that …

With the rapid development of 3D technology, the illumination consistency plays an
important role in realistic rendering of virtual objects which are superimposed into the real …