Results 91 to 100 of about 1,505,743 (327)

CIFAR10-DVS: An Event-Stream Dataset for Object Classification

open access: yesFrontiers in Neuroscience, 2017
Neuromorphic vision research requires high-quality and appropriately challenging event-stream datasets to support continuous improvement of algorithms and methods.
Hongmin Li   +5 more
doaj   +1 more source

Line-Based 6-DoF Object Pose Estimation and Tracking With an Event Camera [PDF]

open access: yesIEEE Transactions on Image Processing
Pose estimation and tracking of objects is a fundamental application in 3D vision. Event cameras possess remarkable attributes such as high dynamic range, low latency, and resilience against motion blur, which enables them to address challenging high ...
Zibin Liu   +4 more
semanticscholar   +1 more source

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera   +8 more
wiley   +1 more source

Temporal-Polar Dynamics: Elevating Event-Based Micro-Expression Recognition

open access: yesIEEE Access
Micro-expressions refer to brief, subtle facial movements often concealing genuine human emotions. However, the advancement of Micro-Expression Recognition (MER) is hindered by the low frame rates of frame-based cameras.
Junwu Lin, Cunhan Guo, Xiaofang Wu
doaj   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky   +5 more
wiley   +1 more source

Event-based, Direct Camera Tracking from a Photometric 3D Map using Nonlinear Optimization

open access: yesIEEE International Conference on Robotics and Automation, 2019
Event cameras are novel bio-inspired vision sensors that output pixel-level intensity changes, called “events”, instead of traditional video images. These asynchronous sensors naturally respond to motion in the scene with very low latency (microseconds ...
Samuel Bryner   +3 more
semanticscholar   +1 more source

Near‐Field Electrospinning Micro‐Printhead Achieves Precise Control of Nanofiber Deposition

open access: yesAdvanced Engineering Materials, EarlyView.
A micro‐printhead for near‐field electrospinning enables reproducible deposition of polymer nanofibers with diameters below 50 nm. Systematic parameter studies uncover the mechanisms linking operating conditions to fiber morphology, paving the way for precise and low‐cost nanoscale 3D manufacturing.As a high‐resolution, cost‐effective, and rapid ...
Han Xu, Dario Mager, Jan G. Korvink
wiley   +1 more source

Activity understanding and unusual event detection in surveillance videos

open access: yes, 2010
PhDComputer scientists have made ceaseless efforts to replicate cognitive video understanding abilities of human brains onto autonomous vision systems.
Loy, Chen Change
core  

Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys

open access: yesAdvanced Engineering Materials, EarlyView.
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa   +9 more
wiley   +1 more source

Motion-adaptive Transformer for Event-based Image Deblurring

open access: yesAAAI Conference on Artificial Intelligence
Event cameras, which capture pixel-level brightness changes asynchronously, provide rich motion information that is often missed during traditional frame-based camera exposures, thereby offering fresh perspectives for motion deblurring.
Senyan Xu   +6 more
semanticscholar   +1 more source

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