Results 31 to 40 of about 350,782 (166)
Applied Sciences, 2019 Tool wear and breakage are inevitable due to the severe stress and high temperature in the cutting zone. A highly reliable tool condition monitoring system is necessary to increase productivity and quality, reduce tool costs and equipment downtime ...
Xincheng Cao +3 more
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MV6D: Multi-View 6D Pose Estimation on RGB-D Frames Using a Deep Point-wise Voting Network
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 Estimating 6D poses of objects is an essential computer vision task. However, most conventional approaches rely on camera data from a single perspective and therefore suffer from occlusions. We overcome this issue with our novel multi-view 6D pose estimation method called MV6D which accurately predicts the 6D poses of all objects in a cluttered scene ...
Fabian Duffhauss +2 more
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Three Frames for Innovation Policy: R&D, Systems of Innovation and Transformative Change [PDF]
سیاست نامه علم و فناوری, 2021 Science, technology and innovation (STI) policy is shaped by persistent framings that arise from historical context. Two established frames are identified as co-existing and dominant in contemporary innovation policy discussions.
Kiarash Fartash +2 more
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An efficient post-processing adaptive filtering technique to rectifying the flickering effects.
PLoS ONE, 2021 Compression at a very low bit rate(≤0.5bpp) causes degradation in video frames with standard decoding algorithms like H.261, H.262, H.264, and MPEG-1 and MPEG-4, which itself produces lots of artifacts.
Anudeep Gandam +6 more
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Sensors, 2019 In this paper, we present a novel approach for reconstructing 3D geometry from a stream of images captured by a consumer-grade mobile RGB-D sensor. In contrast to previous real-time online approaches that process each incoming image in acquisition order,
Jaepung An +3 more
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EURASIP Journal on Image and Video Processing, 2018 This paper provides a novel approach for recognizing human behavior from RGB-D video data. The three-dimensional convolutional restricted Boltzmann machine (3DCRBM) is proposed which can extract features from the raw RGB-D data.
Lukun Wang
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Multi-Level Feature Fusion in CNN-Based Human Action Recognition: A Case Study on EfficientNet-B7
Journal of ImagingAccurate human action recognition is becoming increasingly important across various fields, including healthcare and self-driving cars. A simple approach to enhance model performance is incorporating additional data modalities, such as depth frames ...
Pitiwat Lueangwitchajaroen +3 more
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Global Qualitative Nursing Research, 2015 Current patient safety policy focuses nursing on patient care goals, often overriding nurses’ safety. Without understanding how nurses construct work health and safety (WHS), patient and nurse safety cannot be reconciled.
Valerie Jean O’Keeffe +3 more
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Robust head pose estimation based on key frames for human-machine interaction
EURASIP Journal on Image and Video Processing, 2020 Humans can interact with several kinds of machine (motor vehicle, robots, among others) in different ways. One way is through his/her head pose. In this work, we propose a head pose estimation framework that combines 2D and 3D cues using the concept of ...
Francisco Madrigal, Frederic Lerasle
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Surgery for Pituitary Tumor Apoplexy Is Associated with Rapid Headache and Cranial Nerve Improvement
Current Oncology, 2022 Pituitary tumor apoplexy (PTA) classically comprises sudden-onset headache, loss of vision, ophthalmoparesis, and decreased consciousness. It typically results from hemorrhage and/or infarction within a pituitary adenoma.
Kevin A. Cross +13 more
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