Results 61 to 70 of about 4,995,351 (314)
Speech Processing in Computer Vision Applications [PDF]
, 2020 Deep learning has been recently proven to be a viable asset in determining features in the field of Speech Analysis. Deep learning methods like Convolutional Neural Networks facilitate the expansion of specific feature information in waveforms, allowing ...
Waterworth, Nicholas
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Seeing chips : analog VLSI circuits for computer vision [PDF]
, 1989 Vision is simple. We open our eyes and, instantly, the world surrounding us is perceived in all its splendor. Yet Artificial Intelligence has been trying with very limited success for over 20 years to endow machines with similar abilities.
Christof Koch +4 more
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High-quality deepfakes have a heart!
Frontiers in ImagingIntroductionDeepfakes have become ubiquitous in our modern society, with both their quantity and quality increasing. The current evolution of image generation techniques makes the detection of manipulated content through visual inspection increasingly ...
Clemens Seibold +8 more
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Straight line matching method based on line pairs and feature points
IET Computer Vision, 2016 Straight line matching is a fundamental task in many applications such as scene matching, stereo vision and sequence images analysis. As individual line segments cannot completely present the information of image and methods based on them are difficult ...
Jiexian Zeng +3 more
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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
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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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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
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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Learning to rank using privileged information [PDF]
, 2013 Many computer vision problems have an asymmetric distribution of information between training and test time. In this work, we study the case where we are given additional information about the training data, which however will not be available at test ...
Lampert, Christoph H +2 more
core +3 more sources
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