Results 51 to 60 of about 65,144 (299)

Separating true range measurements from multi-path and scattering interference in commercial range cameras

open access: yes, 2011
Time-of-flight range cameras acquire a three-dimensional image of a scene simultaneously for all pixels from a single viewing location. Attempts to use range cameras for metrology applications have been hampered by the multi-path problem, which causes ...
A. A. Dorrington   +10 more
core   +1 more source

A neuromorphic dataset for tabletop object segmentation in indoor cluttered environment

open access: yesScientific Data
Event-based cameras are commonly leveraged to mitigate issues such as motion blur, low dynamic range, and limited time sampling, which plague conventional cameras. However, a lack of dedicated event-based datasets for benchmarking segmentation algorithms,
Xiaoqian Huang   +5 more
doaj   +1 more source

EVtracker: An Event-Driven Spatiotemporal Method for Dynamic Object Tracking

open access: yesSensors, 2022
An event camera is a novel bio-inspired sensor that effectively compensates for the shortcomings of current frame cameras, which include high latency, low dynamic range, motion blur, etc.
Shixiong Zhang   +3 more
doaj   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

open access: yesFEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli   +8 more
wiley   +1 more source

UAV human teleoperation using event-based and frame-based cameras [PDF]

open access: yes, 2021
Teleoperation is a crucial aspect for human-robot interaction with unmanned aerial vehicles (UAVs) applications. Fast perception processing is required to ensure robustness, precision, and safety.
Rodríguez Gómez, Juan Pablo   +9 more
core   +1 more source

Enhancing Autonomous Driving Perception: A Practical Approach to Event-Based Object Detection in CARLA and ROS

open access: yesVehicles
Robust object detection in autonomous driving is challenged by inherent limitations of conventional frame-based cameras, such as motion blur and limited dynamic range.
Jingxiang Feng   +5 more
doaj   +1 more source

Matrix metalloproteinase‐9 regulates cell adhesion and membrane protrusive activity of ovarian cancer cells

open access: yesFEBS Open Bio, EarlyView.
Matrix metalloproteinase‐9 (MMP9) drives ovarian cancer progression. Using MMP9‐null cells (M9‐KO) created from ovarian cancer cells, we found MMP9 loss did not block Epidermal Growth Factor (EGF)‐driven E‐cadherin dissolution or EMT but delayed and reduced EGF‐driven membrane protrusions. Transient MMP9 re‐expression drove membrane protrusion.
Claire Strauel   +8 more
wiley   +1 more source

SCTN: Event-based object tracking with energy-efficient deep convolutional spiking neural networks

open access: yesFrontiers in Neuroscience, 2023
Event cameras are asynchronous and neuromorphically inspired visual sensors, which have shown great potential in object tracking because they can easily detect moving objects.
Mingcheng Ji   +6 more
doaj   +1 more source

Decreased cold‐sensing function of the transient receptor potential channel TRPM8 from tailed amphibians

open access: yesFEBS Open Bio, EarlyView.
Despite frogs avoiding low temperatures, examination of four salamander species revealed that none avoided cold and all possessed cold tolerance. Functional analysis of TRPM8, a cold sensor, showed that all salamander TRPM8s had lost their cold sensitivity.
Tadahiro Sawao   +3 more
wiley   +1 more source

High-throughput event-based and frame-based convolutions for event-cameras

open access: yes, 2022
Event cameras are promising sensors for on-line and real-time vision tasks, due to their high temporal resolution, low latency and the elimination of redundant static data. Many vision algorithms use some form of spatial convolution (i.e. spatial pattern
Bartolozzi, Chiara   +4 more
core   +1 more source

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