State-of-the-art automated image orientation (Structure from Motion) and dense image
matching (Multiple View Stereo) methods commonly used to produce 3D information from …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

In this paper, we introduce OpenVSLAM, a visual SLAM framework with high usability and
extensibility. Visual SLAM systems are essential for AR devices, autonomous control of …

Incorporating smoothness constraints into feature matching is known to enable ultra-robust
matching. However, such formulations are both complex and slow, making them unsuitable …

The OpenMVG C++ library provides a vast collection of multiple-view geometry tools and
algorithms to spread the usage of computer vision and structure-from-motion techniques …

Scene understanding of full-scale 3D models of an urban area remains a challenging task.
While advanced computer vision techniques offer cost-effective approaches to analyse 3D …

In the light of recent analyses on privacy-concerning scene revelation from visual
descriptors, we develop descriptors that conceal the input image content. In particular, we …

In 3D computer vision, translation averaging solves for absolute translations given a set of
pairwise relative translation directions. While there has been much work on robustness to …

Fully perceiving the surrounding world is a vital capability for autonomous robots. To
achieve this goal, a multi-camera system is usually equipped on the data collecting platform …

In this paper, we revisit the rotation averaging problem applied in global Structure-from-
Motion pipelines. We argue that the main problem of current methods is the minimized cost …