Results 211 to 220 of about 119,156 (290)

Rotatable Lens‐Based 3D Reconstruction Method for Monocular Vision Systems

SmartBot, EarlyView.
Accurate 3D reconstruction in confined environments remains challenging because conventional vision‐based measurement systems are difficult to maintain compactness without sacrificing accuracy. Here, the authors develop a rotatable lens‐based monocular vision system, which is the first time using the refraction of the light induced by a rotating wedge ...
Puchen Zhu, Zhanpeng Huang, Wenkai Lai, Xiaoyin Zheng, Yiding Nie, Yang Liu, Jiajun An, Daifeng Wang, Dongliang Fan, Xiao Li, Jian S. Dai, Xin Ma   +11 more
wiley   +1 more source

Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle

steel research international, EarlyView.
Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen, Juhani Nissilä, Ville‐Valtteri Visuri, Aki Sorsa, Matias Hauru, Jouni Laurila, Toni Liedes   +6 more
wiley   +1 more source

Monitoring GPS‐collared moose by ground versus drone approaches: efficiency and disturbance effects

Wildlife Biology, EarlyView.
Efficient wildlife management requires precise monitoring methods, for example to estimate population density, reproductive success, and survival. Here, we compared the efficiency of drone (equipped with a RGB camera) and ground approaches to detect and observe GPS‐collared female moose Alces alces and their calves. We also quantified how drone (n = 42)
Martin Mayer, Erlend Furuhovde, Kristoffer Nordli, Giorgia Myriam Ausilio, Petter Wabakken, Ane Eriksen, Alina L. Evans, Karen Marie Mathisen, Barbara Zimmermann   +8 more
wiley   +1 more source

In Situ 3D Segmentation of Individual Plant Leaves Using a RGB-D Camera for Agricultural Automation. [PDF]

Sensors (Basel), 2015
Xia C, Wang L, Chung BK, Lee JM.
europepmc   +1 more source

Seasonal variations and challenges in estimating populations and identifying species of Korean ungulates using drone‐derived thermal orthomosaic maps

Wildlife Biology, EarlyView.
Drones equipped with thermal infrared (TIR) cameras offer significant time and labor savings in estimating wild ungulate populations. However, accurately monitoring forest‐dwelling ungulates remains challenging due to their elusive behavior and complex habitat.
Jinhwi Kim, Donggul Woo
wiley   +1 more source

Monitoring wildlife using long‐endurance solar‐electric UAVs

Wildlife Biology, EarlyView.
This report discusses the effectiveness of using small solar‐electric UAV (uncrewed aerial vehicles) for aerial wildlife monitoring. We review four years of aerial wildlife monitoring missions using a 5.5‐m wingspan, solar‐electric UAV that was equipped with a gimballed IR/RGB camera.
Götz Bramesfeld, William Bissonnette, Maya Rahaman‐Noronha, Kanwar Johal   +3 more
wiley   +1 more source

Three-dimensional object motion and velocity estimation using a single computational RGB-D camera. [PDF]

Sensors (Basel), 2015
Lee S, Jeong K, Park J, Paik J.
europepmc   +1 more source

Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

Wildlife Biology, EarlyView.
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin, Fadel Seydou, Radloff Frans, Andrew Davies, Alison Leslie   +4 more
wiley   +1 more source

Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain

Wildlife Biology, EarlyView.
Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund, Torbjørn Ergon, Simon Filhol, Atle Mysterud   +3 more
wiley   +1 more source

Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley   +1 more source