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Related papers: 3D Surface Reconstruction of Underwater Objects

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Underwater scene reconstruction is essential for immersive exploration of aquatic environments, yet remains challenging due to complex participating-media effects such as absorption and scattering, as well as the limited field of view (FoV)…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Jiangbei Hu , Weichao Song , Shibo Yu , Mohan Wang , Zihan Yi , Rui Wu , Mingkang Xiang , Na Lei , Shengfa Wang , Zhongxuan Luo , Ying He

Hyperspectral imaging has been increasingly used for underwater survey applications over the past years. As many hyperspectral cameras work as push-broom scanners, their use is usually limited to the creation of photo-mosaics based on a…

Computer Vision and Pattern Recognition · Computer Science 2021-10-14 Maxime Ferrera , Aurélien Arnaubec , Klemen Istenic , Nuno Gracias , Touria Bajjouk

We propose an optimization technique for 3-D underwater object modeling from 2-D forward-scan sonar images at known poses. A key contribution, for objects imaged in the proximity of the sea surface, is to resolve the multipath artifacts due…

Computer Vision and Pattern Recognition · Computer Science 2024-10-29 Yuhan Liu , Shahriar Negaharipour

Scene and object reconstruction is an important problem in robotics, in particular in planning collision-free trajectories or in object manipulation. This paper compares two strategies for the reconstruction of nonvisible parts of the…

Robotics · Computer Science 2025-01-28 Rafał Staszak , Piotr Michałek , Jakub Chudziński , Marek Kopicki , Dominik Belter

This paper presents a novel approach to reconstruct complete 3D deformable models over time by a single depth camera. These are the steps employed for deforming objects from single depth camera. The partial surfaces reconstructed from…

Computer Vision and Pattern Recognition · Computer Science 2017-08-31 Vamshhi Pavan Kumar Varma Vegeshna

Modern optical satellite sensors enable high-resolution stereo reconstruction from space. But the challenging imaging conditions when observing the Earth from space push stereo matching to its limits. In practice, the resulting digital…

Image and Video Processing · Electrical Eng. & Systems 2021-12-21 Corinne Stucker , Konrad Schindler

Methods for 3D reconstruction such as Photometric stereo recover the shape and reflectance properties using multiple images of an object taken with variable lighting conditions from a fixed viewpoint. Photometric stereo assumes that a scene…

Computer Vision and Pattern Recognition · Computer Science 2018-11-07 Anish R. Khadka , Paolo Remagnino , Vasileios Argyriou

We propose an approach for 3D reconstruction and segmentation of a single object placed on a flat surface from an input video. Our approach is to perform dense depth map estimation for multiple views using a proposed objective function that…

Computer Vision and Pattern Recognition · Computer Science 2016-07-29 Tanmay Gupta , Daeyun Shin , Naren Sivagnanadasan , Derek Hoiem

Underwater image restoration attracts significant attention due to its importance in unveiling the underwater world. This paper elaborates on a novel method that achieves state-of-the-art results for underwater image restoration based on…

Computer Vision and Pattern Recognition · Computer Science 2021-04-16 Junlin Han , Mehrdad Shoeiby , Tim Malthus , Elizabeth Botha , Janet Anstee , Saeed Anwar , Ran Wei , Lars Petersson , Mohammad Ali Armin

Due to the unique characteristics of underwater environments, accurate 3D reconstruction of underwater objects poses a challenging problem in tasks such as underwater exploration and mapping. Traditional methods that rely on multiple sensor…

Computer Vision and Pattern Recognition · Computer Science 2024-10-11 Zeyu Chen , Jingyi Tang , Gu Wang , Shengquan Li , Xinghui Li , Xiangyang Ji , Xiu Li

Localization and mapping are core perceptual capabilities for underwater robots. Stereo cameras provide a low-cost means of directly estimating metric depth to support these tasks. However, despite recent advances in stereo depth estimation…

Learning to understand dynamic 3D scenes from imagery is crucial for applications ranging from robotics to scene reconstruction. Yet, unlike other problems where large-scale supervised training has enabled rapid progress, directly…

Computer Vision and Pattern Recognition · Computer Science 2025-05-01 Linyi Jin , Richard Tucker , Zhengqi Li , David Fouhey , Noah Snavely , Aleksander Holynski

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

360{\deg} images and videos have become an economic and popular way to provide VR experiences using real-world content. However, the manipulation of the stereo panoramic content remains less explored. In this paper, we focus on the…

Graphics · Computer Science 2024-11-05 Kun Huang , Fanglue Zhang , Junhong Zhao , Yiheng Li , Neil Dodgson

In underwater images, most useful features are occluded by water. The extent of the occlusion depends on imaging geometry and can vary even across a sequence of burst images. As a result, 3D reconstruction methods robust on in-air scenes,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Nir Mualem , Roy Amoyal , Oren Freifeld , Derya Akkaynak

Today, Multi-View Stereo techniques are able to reconstruct robust and detailed 3D models, especially when starting from high-resolution images. However, there are cases in which the resolution of input images is relatively low, for…

Computer Vision and Pattern Recognition · Computer Science 2021-07-29 Eugenio Lomurno , Andrea Romanoni , Matteo Matteucci

We propose an approach to reconstruct dense three-dimensional (3D) model of tissue surface from stereo optical videos in real-time, the basic idea of which is to first extract 3D information from video frames by using stereo matching, and…

Computer Vision and Pattern Recognition · Computer Science 2020-07-27 Haoyin Zhou , Jagadeesan Jayender

Recently, 3D Gaussian Splatting (3DGS) has emerged as an efficient approach for accurately representing scenes. However, despite its superior novel view synthesis capabilities, extracting the geometry of the scene directly from the Gaussian…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Yaniv Wolf , Amit Bracha , Ron Kimmel

This paper presents a near-light photometric stereo method that faithfully preserves sharp depth edges in the 3D reconstruction. Unlike previous methods that rely on finite differentiation for approximating depth partial derivatives and…

Computer Vision and Pattern Recognition · Computer Science 2022-07-12 Heng Guo , Hiroaki Santo , Boxin Shi , Yasuyuki Matsushita

Accurate recovery of 3D geometrical surfaces from calibrated 2D multi-view images is a fundamental yet active research area in computer vision. Despite the steady progress in multi-view stereo reconstruction, most existing methods are still…

Computer Vision and Pattern Recognition · Computer Science 2016-01-20 Zhaoxin Li , Kuanquan Wang , Wangmeng Zuo , Deyu Meng , Lei Zhang