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Related papers: Hyperspectral 3D Mapping of Underwater Environment…

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The present paper develops a general methodology for the morphological segmentation of hyperspectral images, i.e., with an important number of channels. This approach, based on watershed, is composed of a spectral classification to obtain…

Image and Video Processing · Electrical Eng. & Systems 2020-10-05 Guillaume Noyel , Jesus Angulo , Dominique Jeulin

We present a study of how to integrate color (RGB) and multi-spectral imagery (red, green, red-edge, and near-infrared) into the 3D Gaussian Splatting (3DGS) framework, a state-of-the-art explicit radiance-field-based method for fast and…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Josef Grün , Lukas Meyer , Maximilian Weiherer , Bernhard Egger , Marc Stamminger , Linus Franke

Reconstructing realistic underwater scenes from underwater video remains a meaningful yet challenging task in the multimedia domain. The inherent spatiotemporal degradations in underwater imaging, including caustics, flickering,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Shaohua Liu , Ning Gao , Zuoya Gu , Hongkun Dou , Yue Deng , Hongjue Li

Asset management requires accurate 3D models to inform the maintenance, repair, and assessment of buildings, maritime vessels, and other key structures as they age. These downstream applications rely on high-fidelity models produced from…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 James L. Gray , Nikolai Goncharov , Alexandre Cardaillac , Ryan Griffiths , Jack Naylor , Donald G. Dansereau

We present a scalable low dimensional manifold model for the reconstruction of noisy and incomplete hyperspectral images. The model is based on the observation that the spatial-spectral blocks of a hyperspectral image typically lie close to…

Computer Vision and Pattern Recognition · Computer Science 2018-03-28 Wei Zhu , Zuoqiang Shi , Stanley Osher

Hyperspectral cameras have recently been miniaturized for operation on lightweight airborne platforms such as UAV or small aircraft. Unlike frame cameras (RGB or Multispectral), many hyperspectral sensors use a linear array or 'push-broom'…

Computer Vision and Pattern Recognition · Computer Science 2024-09-11 Julien Yuuki Burkhard , Jesse Ray Murray Lahaye , Laurent Valentin Jospin , Jan Skaloud

Underwater images are altered by the physical characteristics of the medium through which light rays pass before reaching the optical sensor. Scattering and wavelength-dependent absorption significantly modify the captured colors depending…

Computer Vision and Pattern Recognition · Computer Science 2024-09-13 Clémentin Boittiaux , Ricard Marxer , Claire Dune , Aurélien Arnaubec , Maxime Ferrera , Vincent Hugel

We propose WildFusion, a novel approach for 3D scene reconstruction in unstructured, in-the-wild environments using multimodal implicit neural representations. WildFusion integrates signals from LiDAR, RGB camera, contact microphones,…

Robotics · Computer Science 2025-09-30 Yanbaihui Liu , Boyuan Chen

Digital elevation modeling of planetary surfaces is essential for studying past and ongoing geological processes. Wide-angle imagery acquired during spacecraft descent promises to offer a low-cost option for high-resolution terrain…

Computer Vision and Pattern Recognition · Computer Science 2026-04-16 Melonie de Almeida , George Brydon , Divya M. Persaud , John H. Williamson , Paul Henderson

We propose DynamicSurf, a model-free neural implicit surface reconstruction method for high-fidelity 3D modelling of non-rigid surfaces from monocular RGB-D video. To cope with the lack of multi-view cues in monocular sequences of deforming…

Computer Vision and Pattern Recognition · Computer Science 2023-11-15 Mirgahney Mohamed , Lourdes Agapito

Efficient structural perception is essential for mapping and autonomous navigation on resource-constrained robots. Existing 3D methods are computationally prohibitive, while traditional 2D geometric approaches lack robustness. This paper…

Robotics · Computer Science 2026-04-21 Guanliang Li , Pedro Espinosa-Angulo , David Perez-Saura , Santiago Tapia-Fernandez

Underwater scene reconstruction poses a substantial challenge because of the intricate interplay between light and the medium, resulting in scattering and absorption effects that make both depth estimation and rendering more complex. While…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Shuyi Hu , Qi Liu

Holoscopic 3D imaging is a promising technique for capturing full colour spatial 3D images using a single aperture holoscopic 3D camera. It mimics fly's eye technique with a microlens array, which views the scene at a slightly different…

Computer Vision and Pattern Recognition · Computer Science 2018-11-13 Bodor Almatrouk , Mohammad Rafiq Swash , Abdul Hamid Sadka

Volumetric depth map fusion based on truncated signed distance functions has become a standard method and is used in many 3D reconstruction pipelines. In this paper, we are generalizing this classic method in multiple ways: 1) Semantics:…

Computer Vision and Pattern Recognition · Computer Science 2020-06-03 Denys Rozumnyi , Ian Cherabier , Marc Pollefeys , Martin R. Oswald

Hyperspectral sensors have enjoyed widespread use in the realm of remote sensing; however, they must be adapted to a format in which they can be operated onboard mobile robots. In this work, we introduce a first-of-its-kind system…

Robotics · Computer Science 2023-08-17 Nathaniel Hanson , Benjamin Pyatski , Samuel Hibbard , Charles DiMarzio , Taşkın Padır

Dynamic scene reconstruction has garnered significant attention in recent years due to its capabilities in high-quality and real-time rendering. Among various methodologies, constructing a 4D spatial-temporal representation, such as 4D-GS,…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Weiwei Cai , Weicai Ye , Peng Ye , Tong He , Tao Chen

Reconstructing 3D scenes from sparse images remains a challenging task due to the difficulty of recovering accurate geometry and texture without optimization. Recent approaches leverage generalizable models to generate 3D scenes using 3D…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Bing He , Jingnan Gao , Yunuo Chen , Ning Cao , Gang Chen , Zhengxue Cheng , Li Song , Wenjun Zhang

Capturing the 3D geometry of transparent objects is a challenging task, ill-suited for general-purpose scanning and reconstruction techniques, since these cannot handle specular light transport phenomena. Existing state-of-the-art methods,…

Graphics · Computer Science 2020-09-22 Jiahui Lyu , Bojian Wu , Dani Lischinski , Daniel Cohen-Or , Hui Huang

Underwater image enhancement has become an attractive topic as a significant technology in marine engineering and aquatic robotics. However, the limited number of datasets and imperfect hand-crafted ground truth weaken its robustness to…

Computer Vision and Pattern Recognition · Computer Science 2022-11-22 Di Wang , Long Ma , Risheng Liu , Xin Fan

Underwater image enhancement, as a pre-processing step to improve the accuracy of the following object detection task, has drawn considerable attention in the field of underwater navigation and ocean exploration. However, most of the…

Computer Vision and Pattern Recognition · Computer Science 2020-09-29 Long Chen , Zheheng Jiang , Lei Tong , Zhihua Liu , Aite Zhao , Qianni Zhang , Junyu Dong , Huiyu Zhou