activity
20202026
most citedInvestigation of the Challenges of Underwater-Visual-Monocular-SLAM

11 citations · 37 across the 10 of their papers we have counts for

collaborators

12 papers

cs.CV2026

BlobBoards: Robust Markers for Accurate Pose

James Pritts, Till Sittart, Hendrik Sauer +4

We propose BlobBoards, a fiducial marker system comprising a dense, multi-scale field of Gaussian blobs and a feature-based pipeline for joint detection, identification, and pose e…

cs.CV2026

BALTIC: A Benchmark and Cross-Domain Strategy for 3D Reconstruction Across Air and Underwater Domains Under Varying Illumination

Michele Grimaldi, David Nakath, Oscar Pizarro +3

Robust 3D reconstruction across varying environmental conditions remains a critical challenge for robotic perception, particularly when transitioning between air and water. To addr…

cs.CV2025

Optical Ocean Recipes: Creating Realistic Datasets to Facilitate Underwater Vision Research

Patricia Schöntag, David Nakath, Judith Fischer +2

The development and evaluation of machine vision in underwater environments remains challenging, often relying on trial-and-error-based testing tailored to specific applications. T…

cs.CV2025

Relative Illumination Fields: Learning Medium and Light Independent Underwater Scenes

Mengkun She, Felix Seegräber, David Nakath +2

We address the challenge of constructing a consistent and photorealistic Neural Radiance Field in inhomogeneously illuminated, scattering environments with unknown, co-moving light…

cs.CV2024★ 9 cited

Refractive COLMAP: Refractive Structure-from-Motion Revisited

Mengkun She, Felix Seegräber, David Nakath +1

In this paper, we present a complete refractive Structure-from-Motion (RSfM) framework for underwater 3D reconstruction using refractive camera setups (for both, flat- and dome-por…

cs.CV2023

Visual Tomography: Physically Faithful Volumetric Models of Partially Translucent Objects

David Nakath, Xiangyu Weng, Mengkun She +1

When created faithfully from real-world data, Digital 3D representations of objects can be useful for human or computer-assisted analysis. Such models can also serve for generating…

cs.CV2023★ 6 cited

Semihierarchical Reconstruction and Weak-area Revisiting for Robotic Visual Seafloor Mapping

Mengkun She, Yifan Song, David Nakath +1

Despite impressive results achieved by many on-land visual mapping algorithms in the recent decades, transferring these methods from land to the deep sea remains a challenge due to…

cs.RO2023★ 11 cited

Investigation of the Challenges of Underwater-Visual-Monocular-SLAM

Michele Grimaldi, David Nakath, Mengkun She +1

In this paper, we present a comprehensive investigation of the challenges of Monocular Visual Simultaneous Localization and Mapping (vSLAM) methods for underwater robots. While sig…

cs.RO2023★ 3 cited

Design, Implementation and Evaluation of an External Pose-Tracking System for Underwater Cameras

Birger Winkel, David Nakath, Felix Woelk +1

In order to advance underwater computer vision and robotics from lab environments and clear water scenarios to the deep dark ocean or murky coastal waters, representative benchmark…

cs.CV2021

Refractive Geometry for Underwater Domes

Mengkun She, David Nakath, Yifan Song +1

Underwater cameras are typically placed behind glass windows to protect them from the water. Spherical glass, a dome port, is well suited for high water pressures at great depth, a…

cs.CV2020

Light Pose Calibration for Camera-light Vision Systems

Yifan Song, Furkan Elibol, Mengkun She +2

Illuminating a scene with artificial light is a prerequisite for seeing in dark environments. However, nonuniform and dynamic illumination can deteriorate or even break computer vi…

cs.CV2020★ 8 cited

Deep Sea Robotic Imaging Simulator

Yifan Song, David Nakath, Mengkun She +2

Nowadays underwater vision systems are being widely applied in ocean research. However, the largest portion of the ocean - the deep sea - still remains mostly unexplored. Only rela…