Results 61 to 70 of about 5,580,472 (385)
Collision Detection and Avoidance for Underwater Vehicles Using Omnidirectional Vision
Sensors, 2022 Exploration of marine habitats is one of the key pillars of underwater science, which often involves collecting images at close range. As acquiring imagery close to the seabed involves multiple hazards, the safety of underwater vehicles, such as remotely
Eduardo Ochoa +5 more
doaj +1 more source
Italian National Conference on Sensors, 2021 Convolutional neural network (CNN)-based computer vision systems have been increasingly applied in animal farming to improve animal management, but current knowledge, practices, limitations, and solutions of the applications remain to be expanded and ...
Guoming Li +6 more
semanticscholar +1 more source
Computer Vision Syndrome [PDF]
Workplace Health & Safety, 2017 With the increased use of electronic devices with visual displays, computer vision syndrome is becoming a major public health issue. Improving the visual status of workers using computers results in greater productivity in the workplace and improved visual comfort.
openaire +3 more sources
Canonical circuit computations for computer vision
Biological Cybernetics, 2023 AbstractAdvanced computer vision mechanisms have been inspired by neuroscientific findings. However, with the focus on improving benchmark achievements, technical solutions have been shaped by application and engineering constraints. This includes the training of neural networks which led to the development of feature detectors optimally suited to the ...
Daniel Schmid +2 more
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Crowdsourcing in Computer Vision
, 2016 Computer vision systems require large amounts of manually annotated data to properly learn challenging visual concepts. Crowdsourcing platforms offer an inexpensive method to capture human knowledge and understanding, for a vast number of visual ...
Fei-Fei, Li +3 more
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A biologically inspired computational vision front-end based on a self-organised pseudo-randomly tessellated artificial retina [PDF]
, 2005 This paper considers the construction of a biologically inspired front-end for computer vision based on an artificial retina pyramid with a self-organised pseudo-randomly tessellated receptive field tessellation.
Balasuriya, S., Siebert, J.P.
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An active reconstruction algorithm based on partial prior information
International Journal of Advanced Robotic Systems, 2020 Active reconstruction is an intelligent perception method that achieves object modeling with few views and short motion paths by systematically adjusting the parameters of the camera while ensuring model integrity.
Yanzi Kong +5 more
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A review of convolutional neural networks in computer vision
Artificial Intelligence ReviewIn computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object detection, and image super-resolution reconstruction with the rapid development of deep convolutional neural ...
Xia Zhao +5 more
semanticscholar +1 more source
Negative Results in Computer Vision: A Perspective
, 2017 A negative result is when the outcome of an experiment or a model is not what is expected or when a hypothesis does not hold. Despite being often overlooked in the scientific community, negative results are results and they carry value.
Borji, Ali
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WarpedGANSpace: Finding non-linear RBF paths in GAN latent space [PDF]
, 2021 This work addresses the problem of discovering, in an unsupervised manner, interpretable paths in the latent space of pretrained GANs, so as to provide an intuitive and easy way of controlling the underlying generative factors.
International Conference on Computer Vision +3 more
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