Search Results for author: Oliver Bimber

Found 14 papers, 10 papers with code

Reciprocal Visibility

no code implementations10 Feb 2024 Rakesh John Amala Arokia Nathan, Sigrid Strand, Dmitriy Shutin, Oliver Bimber

Inspired by Helmholtz reciprocity, we introduce reciprocal visibility to determine the dual situation - the visibility of potential sampling position in the air from given points of interest on the ground.

Position

Fusion of Single and Integral Multispectral Aerial Images

1 code implementation29 Nov 2023 Mohamed Youssef, Oliver Bimber

We present a first and hybrid (model- and learning-based) architecture for fusing the most significant features from conventional aerial images with the ones from integral aerial images that are the result of synthetic aperture sensing for removing occlusion.

Stereoscopic Depth Perception Through Foliage

1 code implementation24 Oct 2023 Robert Kerschner, Rakesh John Amala Arokia Nathan, Rafal Mantiuk, Oliver Bimber

The same was true with stereoscopic video because of the occlusions caused by foliage.

Synthetic Aperture Anomaly Imaging

1 code implementation26 Apr 2023 Rakesh John Amala Arokia Nathan, Oliver Bimber

Previous research has shown that in the presence of foliage occlusion, anomaly detection performs significantly better in integral images resulting from synthetic aperture imaging compared to applying it to conventional aerial images.

Anomaly Detection

Synthetic Aperture Sensing for Occlusion Removal with Drone Swarms

1 code implementation30 Dec 2022 Rakesh John Amala Arokia Nathan, Indrajit Kurmi, Oliver Bimber

We demonstrate how efficient autonomous drone swarms can be in detecting and tracking occluded targets in densely forested areas, such as lost people during search and rescue missions.

Evaluation of Color Anomaly Detection in Multispectral Images For Synthetic Aperture Sensing

1 code implementation8 Nov 2022 Francis Seits, Indrajit Kurmi, Oliver Bimber

In this article, we evaluate unsupervised anomaly detection methods in multispectral images obtained with a wavelength-independent synthetic aperture sensing technique, called Airborne Optical Sectioning (AOS).

Unsupervised Anomaly Detection

Inverse Airborne Optical Sectioning

1 code implementation27 Jul 2022 Rakesh John Amala Arokia Nathan, Indrajit Kurmi, Oliver Bimber

We present Inverse Airborne Optical Sectioning (IAOS) an optical analogy to Inverse Synthetic Aperture Radar (ISAR).

On the Role of Field of View for Occlusion Removal with Airborne Optical Sectioning

1 code implementation28 Apr 2022 Francis Seits, Indrajit Kurmi, Rakesh John Amala Arokia Nathan, Rudolf Ortner, Oliver Bimber

In this article, we demonstrate a relationship between forest density and field of view (FOV) of applied imaging systems.

Through-Foliage Tracking with Airborne Optical Sectioning

1 code implementation12 Nov 2021 Rakesh John Amala Arokia Nathan, Indrajit Kurmi, David C. Schedl, Oliver Bimber

Detecting and tracking moving targets through foliage is difficult, and for many cases even impossible in regular aerial images and videos.

Anomaly Detection

Combined Person Classification with Airborne Optical Sectioning

1 code implementation18 Jun 2021 Indrajit Kurmi, David C. Schedl, Oliver Bimber

Fully autonomous drones have been demonstrated to find lost or injured persons under strongly occluding forest canopy.

Classification

Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization

no code implementations15 Dec 2020 Indrajit Kurmi, David C. Schedl, Oliver Bimber

Airborne optical sectioning, an effective aerial synthetic aperture imaging technique for revealing artifacts occluded by forests, requires precise measurements of drone poses.

Pose Estimation

Search and Rescue with Airborne Optical Sectioning

3 code implementations18 Sep 2020 David C. Schedl, Indrajit Kurmi, Oliver Bimber

We show that automated person detection under occlusion conditions can be significantly improved by combining multi-perspective images before classification.

General Classification Human Detection

Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization

no code implementations8 May 2020 Indrajit Kurmi, David C. Schedl, Oliver Bimber

In this article, we describe and validate the first fully automatic parameter optimization for thermal synthetic aperture visualization.

A Statistical View on Synthetic Aperture Imaging for Occlusion Removal

no code implementations15 Jun 2019 Indrajit Kurmi, David C. Schedl, Oliver Bimber

Synthetic apertures find applications in many fields, such as radar, radio telescopes, microscopy, sonar, ultrasound, LiDAR, and optical imaging.

Common Sense Reasoning

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