Multi-view stereo reconstruction (MVS) in the wild requires to first estimate the camera
intrinsic and extrinsic parameters. These are usually tedious and cumbersome to obtain yet …

The integration of neural rendering and the SLAM system recently showed promising results
in joint localization and photorealistic view reconstruction. However existing methods fully …

Recently, 6DoF object pose estimation has become increasingly important for a broad range
of applications in the fields of virtual reality, augmented reality, autonomous driving, and …

Scene coordinates regression (SCR) ie predicting 3D coordinates for every pixel of a given
image has recently shown promising potential. However existing methods remain limited to …

What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …

As a fundamental issue in robotics academia and industry, indoor autonomous mobile
robots (AMRs) have been extensively studied. For AMRs, it is crucial to obtain information …

Abstract Knowledge about the own pose is key for all mobile robot applications. Thus pose
estimation is part of the core functionalities of mobile robots. Over the last two decades …

Multi-view depth estimation has achieved impressive performance over various
benchmarks. However almost all current multi-view systems rely on given ideal camera …

Event cameras exhibit remarkable attributes such as high dynamic range asynchronicity and
low latency making them highly suitable for vision tasks that involve high-speed motion in …

With the increasing adoption of autonomous mobile robots in the construction industry,
accurate localization and mapping in dynamic construction environments have become …