Results 21 to 30 of about 844,208 (198)
Nonlinear Optimization of Light Field Point Cloud
The problem of accurate three-dimensional reconstruction is important for many research and industrial applications. Light field depth estimation utilizes many observations of the scene and hence can provide accurate reconstruction.
Yuriy Anisimov +2 more
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Hand Gesture Recognition Using Automatic Feature Extraction and Deep Learning Algorithms with Memory
Gesture recognition is widely used to express emotions or to communicate with other people or machines. Hand gesture recognition is a problem of great interest to researchers because it is a high-dimensional pattern recognition problem.
Rubén E. Nogales, Marco E. Benalcázar
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This article presents a dataset of hyperspectral images of handwriting samples collected from 54 individuals. The purpose of the presented dataset is to further explore the use of hyperspectral imaging in document image analysis and to benchmark the ...
Ammad Ul Islam +4 more
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Particulate matter smaller than 2.5 microns (PM2.5) is one of the main pollutants that has considerable detrimental effects on human health. Estimating its concentration levels with ground monitors is inefficient for several reasons.
Kudaibergen Abutalip +2 more
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Dynamic Detection and Recognition of Objects Based on Sequential RGB Images
Conveyors are used commonly in industrial production lines and automated sorting systems. Many applications require fast, reliable, and dynamic detection and recognition for the objects on conveyors.
Shuai Dong +3 more
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A Novel Finger Vein Recognition Method Based on Aggregation of Radon-Like Features
Finger vein (FV) biometrics is one of the most promising individual recognition traits, which has the capabilities of uniqueness, anti-forgery, and bio-assay, etc.
Qiong Yao, Dan Song, Xiang Xu, Kun Zou
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The advances of the Internet of Things, robotics, and Artificial Intelligence, to give just a few examples, allow us to imagine promising results in the development of smart buildings in the near future.
Luis V. Calderita +4 more
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Object detection and classification have countless applications in human–robot interacting systems. It is a necessary skill for autonomous robots that perform tasks in household scenarios.
Marco A. Gutiérrez +3 more
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Educational Impact on Ecuadorian University Students Due to the COVID-19 Context
The mobility restrictions imposed in different countries due to the pandemic of Sars-CoV2 has hugely impacted different areas in the world. In this work, impacts on the social areas of Ecuadorian university students such as education, economy, physical ...
Marco E. Benalcázar +5 more
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Guessing Human Intentions to Avoid Dangerous Situations in Caregiving Robots
The integration of robots into social environments necessitates their ability to interpret human intentions and anticipate potential outcomes accurately.
Noé Zapata +5 more
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