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Related papers: Scalable Semantic 3D Mapping of Coral Reefs with D…

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The research on neural radiance fields for new view synthesis has experienced explosive growth with the development of new models and extensions. The NERF algorithm, suitable for underwater scenes or scattering media, is also evolving.…

Computer Vision and Pattern Recognition · Computer Science 2023-12-15 Zhuoyifan Zhang , Lu Zhang , Liang Wang , Haoming Wu

Effective reef monitoring requires the quantification of coral growth via accurate volumetric and surface area estimates, which is a challenging task due to the complex morphology of corals. We propose a novel, lightweight, and scalable…

Computer Vision and Pattern Recognition · Computer Science 2026-01-23 Diego Eustachio Farchione , Ramzi Idoughi , Peter Wonka

Coral reefs are on the brink of collapse, with climate change, ocean acidification, and pollution leading to a projected 70-90% loss of coral species within the next decade. Reef restoration is crucial, but its success hinges on introducing…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Scarlett Raine , Emilio Olivastri , Benjamin Moshirian , Tobias Fischer

Tracking fish movements and sizes of fish is crucial to understanding their ecology and behaviour. Knowing where fish migrate, how they interact with their environment, and how their size affects their behaviour can help ecologists develop…

Computer Vision and Pattern Recognition · Computer Science 2025-02-27 Alzayat Saleh , Marcus Sheaves , Dean Jerry , Mostafa Rahimi Azghadi

The more than 200,000 glaciers outside the ice sheets play a crucial role in our society by influencing sea-level rise, water resource management, natural hazards, biodiversity, and tourism. However, only a fraction of these glaciers…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Codruţ-Andrei Diaconu , Konrad Heidler , Jonathan L. Bamber , Harry Zekollari

This paper presents a novel approach to underwater terrain mapping for Autonomous Underwater Vehicles (AUVs) operating in close proximity to complex 3D environments. The proposed methodology creates a probabilistic elevation map of the…

Robotics · Computer Science 2020-03-24 Bilal Arain , Feras Dayoub , Paul Rigby , Matthew Dunbabin

Long-term monitoring and exploration of extreme environments, such as underwater storage facilities, is costly, labor-intensive, and hazardous. Automating this process with low-cost, collaborative robots can greatly improve efficiency.…

Robotics · Computer Science 2025-03-05 Shuang Chen , Yifeng He , Barry Lennox , Farshad Arvin , Amir Atapour-Abarghouei

Coral bleaching is a major concern for marine ecosystems; more than half of the world's coral reefs have either bleached or died over the past three decades. Increasing sea surface temperatures, along with various spatiotemporal…

Applications · Statistics 2025-11-18 Soham Sarkar , Arnab Hazra

The rich biodiversity of coral reefs in Indonesian waters represents a valuable asset that must be preserved. Rapid climate change and uncontrolled human activities have caused significant degradation of coral reef ecosystems, including…

Computer Vision and Pattern Recognition · Computer Science 2026-01-13 Fadhil Muhammad , Alif Bintang Elfandra , Iqbal Pahlevi Amin , Alfan Farizki Wicaksono

Quantifying fish community structure is essential for understanding biodiversity and ecosystem responses in a changing environment, yet existing survey methods provide limited high-frequency, quantitative observations. Conventional…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Kota Ishikawa , Takuma Masui , Keita Koeda , Rickdane Gomez , Lucas Yutaka Kimura , Michio Kondoh

Seagrass meadows play a crucial role in marine ecosystems, providing benefits such as carbon sequestration, water quality improvement, and habitat provision. Monitoring the distribution and abundance of seagrass is essential for…

Computer Vision and Pattern Recognition · Computer Science 2025-05-16 Jannik Elsäßer , Laura Weihl , Veronika Cheplygina , Lisbeth Tangaa Nielsen

Long-term environmental monitoring requires the ability to reconstruct and align 3D models across repeated site visits separated by months or years. However, existing Structure-from-Motion (SfM) pipelines implicitly assume near-simultaneous…

Computer Vision and Pattern Recognition · Computer Science 2026-02-25 Beverley Gorry , Tobias Fischer , Michael Milford , Alejandro Fontan

Effective conservation actions require effective population monitoring. However, accurately counting animals in the wild to inform conservation decision-making is difficult. Monitoring populations through image sampling has made data…

Computer Vision and Pattern Recognition · Computer Science 2022-10-12 Penny Tarling , Mauricio Cantor , Albert Clapés , Sergio Escalera

According to a recent investigation, an estimated 33-50% of the world's coral reefs have undergone degradation, believed to be as a result of climate change. A strong driver of climate change and the subsequent environmental impact are…

Machine Learning · Computer Science 2019-06-11 Shubhankar Deshpande , Brian D. Bue , David R. Thompson , Vijay Natraj , Mario Parente

Oceanographic forecasting impacts various sectors of society by supporting environmental conservation and economic activities. Based on global circulation models, traditional forecasting methods are computationally expensive and slow,…

Atmospheric and Oceanic Physics · Physics 2025-06-09 Giovanny A. Cuervo-Londoño , Javier Sánchez , Ángel Rodríguez-Santana

Oceans are the essential lifeblood of the Earth: they provide over 70% of the oxygen and over 97% of the water. Plankton and corals are two of the most fundamental components of ocean ecosystems, the former due to their function at many…

Computer Vision and Pattern Recognition · Computer Science 2019-12-11 Alessandra Lumini , Loris Nanni , Gianluca Maguolo

The current approach to exploring and monitoring complex underwater ecosystems, such as coral reefs, is to conduct surveys using diver-held or static cameras, or deploying sensor buoys. These approaches often fail to capture the full…

We tackle the problem of using 3D information in convolutional neural networks for down-stream recognition tasks. Using depth as an additional channel alongside the RGB input has the scale variance problem present in image convolution based…

Computer Vision and Pattern Recognition · Computer Science 2018-12-05 Hang Chu , Wei-Chiu Ma , Kaustav Kundu , Raquel Urtasun , Sanja Fidler

Environmental damage has been of much concern, particularly in coastal areas and the oceans, given climate change and the drastic effects of pollution and extreme climate events. Our present-day analytical capabilities, along with…

Machine Learning · Computer Science 2023-06-29 Saharsh Barve , Jody M. Webster , Rohitash Chandra

Marine videos present significant challenges for video understanding due to the dynamics of marine objects and the surrounding environment, camera motion, and the complexity of underwater scenes. Existing video captioning datasets,…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Quang-Trung Truong , Yuk-Kwan Wong , Vo Hoang Kim Tuyen Dang , Rinaldi Gotama , Duc Thanh Nguyen , Sai-Kit Yeung