Results 11 to 20 of about 3,454,792 (299)
VIRTUALLY THROWING BENCHMARKS INTO THE OCEAN FOR DEEP SEA PHOTOGRAMMETRY AND IMAGE PROCESSING EVALUATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Vision in the deep sea is acquiring increasing interest from many fields as the deep seafloor represents the largest surface portion on Earth. Unlike common shallow underwater imaging, deep sea imaging requires artificial lighting to illuminate the scene
Y. Song, M. She, K. Köser
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Training neural networks on domain randomized simulations for ultrasonic inspection
Open Research Europe, 2022 To overcome the data scarcity problem of machine learning for nondestructive testing, data augmentation is a commonly used strategy. We propose a method to enable training of neural networks exclusively on simulated data.
Klaus Schlachter +2 more
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Electronics Letters, 2023 Deep learning models have been widely applied in video‐based depression detection. It is observed that the diversity of preprocessing, data augmentation, and optimization techniques makes it difficult to fairly compare model architectures. In this study,
Manuel Lage Cañellas +3 more
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CVML-Pose: Convolutional VAE Based Multi-Level Network for Object 3D Pose Estimation
IEEE Access, 2023 Most vision-based 3D pose estimation approaches typically rely on knowledge of object’s 3D model, depth measurements, and often require time-consuming iterative refinement to improve accuracy.
Jianyu Zhao +2 more
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Special Issue on Machine Vision [PDF]
International Journal of Computer Vision, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tae-Kyun Kim 0001 +3 more
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Fast Light Field Angular Resolution Enhancement Using Convolutional Neural Network
IEEE Access, 2021 Current light field angular super-resolution algorithm based on deep learning has excessive computation cost and low operational efficiency, for sequentially up-sampling on each lenslet region of the light field image.
Xingzheng Wang +3 more
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Towards Machine Vision for Insect Welfare Monitoring and Behavioural Insights
Frontiers in Veterinary Science, 2022 Machine vision has demonstrated its usefulness in the livestock industry in terms of improving welfare in such areas as lameness detection and body condition scoring in dairy cattle. In this article, we present some promising results of applying state of
Mark F. Hansen +5 more
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Mechatronics and machine vision in practice [PDF]
, 2008 Proceedings of 13th Annual Conference on Mechatronics and Machine Vision in Practice, Toowoomba, Australia, 5-7 December ...
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Stagniert Applied Machine Vision in den USA?
, 2022 S.184Von 1.-4.Juni 1992 fand in Atlanta/USA die diesjährige Konferenz zur Thematik Applied Machine Vision statt. Wie in den Vorjahren waren die Veranstalter die Society of Manufacturing Engineers (SME) und die Machine Vision Association (MVA) des SME in ...
Nickolay, B.
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Microaneurysm detection in fundus images using a two-step convolutional neural network
BioMedical Engineering OnLine, 2019 Background and objectives Diabetic retinopathy (DR) is the leading cause of blindness worldwide, and therefore its early detection is important in order to reduce disease-related eye injuries. DR is diagnosed by inspecting fundus images.
Noushin Eftekhari +4 more
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